https://www.globe.gov/c/message_boards/find_category?p_l_id=16257162&mbCategoryId=0 2026-06-21T04:30:50Z 2026-06-21T04:30:50Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=187922465 2026-06-01T10:48:34Z 2026-06-01T10:48:34Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, May 2026</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>2.78<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>27.78<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>12<span style="font-size: 16px;"></span>/31 days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>19<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for 0/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-6.11<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>15.56<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for <span style="font-size: 16px;"></span>13<span style="font-size: 16px;"></span>/31 days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>18<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for<span style="color: #000000"></span><span style="font-size: 16px;"></span> 0<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31 <span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: -1<span style="color: #000000"></span><span style="font-size: 16px;"></span>.67<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>19.44<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for <span style="font-size: 16px;"></span>10<span style="color: #000000"></span><span style="font-size: 16px;"></span>/31<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>21<span style="font-size: 16px;"></span>/31 days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: <span style="font-size: 16px;"></span>16<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>118.10<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: 84.07 mm<span style="font-size: 16px;"></span>Difference: <span style="font-size: 16px;"></span>34.03<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2026-06-01T10:48:34Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=186031289 2026-05-01T09:52:18Z 2026-05-01T09:52:18Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, </strong><span style="font-size: 16px;"></span><strong>April</strong><span style="font-size: 16px;"></span><strong> 2026</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>2.78<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="color: #000000"></span><span style="font-size: 16px;"></span>7.78<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="font-size: 16px;"></span>/3<span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>8<span style="font-size: 16px;"></span>/3<span style="font-size: 16px;"></span>0<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for 0/<span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-<span style="color: #000000"></span><span style="font-size: 16px;"></span>6.11<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>15.56<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for 2<span style="font-size: 16px;"></span>4<span style="font-size: 16px;"></span>/3<span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>6<span style="font-size: 16px;"></span>/3<span style="font-size: 16px;"></span>0<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: -<span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>.67<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>19.44<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for <span style="font-size: 16px;"></span>18<span style="color: #000000"></span><span style="font-size: 16px;"></span>/3<span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/3<span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span> days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: 1<span style="font-size: 16px;"></span>8<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>157.49<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: <span style="font-size: 16px;"></span>84.07<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference: <span style="font-size: 16px;"></span>73.42<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2026-05-01T09:52:18Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=184190839 2026-04-01T10:41:48Z 2026-04-01T10:41:48Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, March 2026</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-<span style="color: #000000"></span><span style="font-size: 16px;"></span>4.44<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>24.44<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>20<span style="font-size: 16px;"></span>/31 days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for 0/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-<span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>1.67<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>.67<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for <span style="font-size: 16px;"></span>22<span style="font-size: 16px;"></span>/31 days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>8<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31 <span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: -<span style="color: #000000"></span><span style="font-size: 16px;"></span>6.67<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>17.78<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for <span style="font-size: 16px;"></span>21<span style="color: #000000"></span><span style="font-size: 16px;"></span>/31<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>9<span style="font-size: 16px;"></span>/31 days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: 1<span style="font-size: 16px;"></span>5<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>169.18<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: <span style="font-size: 16px;"></span>70.10<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference: <span style="font-size: 16px;"></span>99.08<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2026-04-01T10:41:48Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=182264797 2026-03-01T10:16:20Z 2026-03-01T10:16:20Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, February 2026</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-1<span style="color: #000000"></span><span style="font-size: 16px;"></span>3.33<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>11.11<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>12<span style="font-size: 16px;"></span>/28days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>6<span style="font-size: 16px;"></span>/28<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for 0/<span style="color: #000000"></span><span style="font-size: 16px;"></span>28<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-21.<span style="color: #000000"></span><span style="font-size: 16px;"></span>67<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>1.67<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for 1<span style="font-size: 16px;"></span>6<span style="font-size: 16px;"></span>/28<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="font-size: 16px;"></span>/328<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for<span style="color: #000000"></span><span style="font-size: 16px;"></span> 0<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>28<span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: -<span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>7.22<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>5.56<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for 1<span style="font-size: 16px;"></span>4<span style="color: #000000"></span><span style="font-size: 16px;"></span>/28<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="font-size: 16px;"></span>/28days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>28<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: <span style="font-size: 16px;"></span>12<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>28<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>33.02<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: <span style="font-size: 16px;"></span>54.10<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference: -<span style="font-size: 16px;"></span>21.08<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2026-03-01T10:16:20Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=179394635 2026-02-01T10:35:33Z 2026-02-01T10:35:33Z

January 2026

Michael Jabot 2026-02-01T10:35:33Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=177404332 2026-01-01T12:50:50Z 2026-01-01T12:50:50Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, December 2025</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-<span style="color: #000000"></span><span style="font-size: 16px;"></span>6.67<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>14.44<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>8<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for 1/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-<span style="color: #000000"></span><span style="font-size: 16px;"></span>13.33<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>0.56<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for <span style="font-size: 16px;"></span>9<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>20<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for<span style="color: #000000"></span><span style="font-size: 16px;"></span> 2<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: -<span style="color: #000000"></span><span style="font-size: 16px;"></span>8.33<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>7.22<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for 1<span style="font-size: 16px;"></span>3<span style="color: #000000"></span><span style="font-size: 16px;"></span>/31<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>8<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: <span style="font-size: 16px;"></span>20<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>134.90<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: <span style="font-size: 16px;"></span>86.10<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference: <span style="font-size: 16px;"></span>48.80<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2026-01-01T12:50:50Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=175439944 2025-12-01T09:46:58Z 2025-12-01T09:46:58Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, November 2025</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-<span style="color: #000000"></span><span style="font-size: 16px;"></span>0.56<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>21.67<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>6<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for <span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-<span style="color: #000000"></span><span style="font-size: 16px;"></span>2.78<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>8.33<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for 1<span style="font-size: 16px;"></span>7<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>11<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: -<span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>.11<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>13.89<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for 1<span style="font-size: 16px;"></span>5<span style="color: #000000"></span><span style="font-size: 16px;"></span>/30<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>4<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: 1<span style="font-size: 16px;"></span>7<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>78.53<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: 10<span style="font-size: 16px;"></span>5.92<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference: -<span style="font-size: 16px;"></span>27.39<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2025-12-01T09:46:58Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=173569419 2025-11-01T09:23:48Z 2025-11-01T09:23:48Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, October<br />2025</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul> <li><span style="font-size: 16px;"></span>Range of maximum temps:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>10.00<span style="font-size: 16px;"></span>°<br />to<span style="color: #000000"></span><span style="font-size: 16px;"></span>29.44<span style="font-size: 16px;"></span>°</li></ul><ul> <li><span style="font-size: 16px;"></span>Maximum temp.<br />above normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>16<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span><br />days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>15<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li></ul><ul><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for<br />0/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul> <li><span style="font-size: 16px;"></span>Range of minimum temps:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>-<span style="color: #000000"></span><span style="font-size: 16px;"></span>0.56<span style="font-size: 16px;"></span>°<br />to <span style="color: #000000"></span><span style="font-size: 16px;"></span>16.11<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for<br />1<span style="font-size: 16px;"></span>9/<span style="font-size: 16px;"></span>31<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>11<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal<br />for<span style="color: #000000"></span><span style="font-size: 16px;"></span><br />1<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li></ul> <span style="font-size: 16px;"></span><u><strong>Average<br />Temperatures:</strong></u><ul><li><span style="font-size: 16px;"></span>Range of observed average temps:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>6.11<span style="font-size: 16px;"></span>° to<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="color: #000000"></span><span style="font-size: 16px;"></span>1.11<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for<br />19<span style="color: #000000"></span><span style="font-size: 16px;"></span>/31<span style="font-size: 16px;"></span> days</li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>10<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span><br />days </li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span><br />days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days<br />with more than a trace of precip.:<br /><span style="font-size: 16px;"></span>13<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span>total<br />amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>212.88<span style="font-size: 16px;"></span> mm<br /><span style="font-size: 16px;"></span>average amount of precipitation for:<br /><span style="font-size: 16px;"></span>103.12<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference:<br /><span style="font-size: 16px;"></span>109.76<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2025-11-01T09:23:48Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=171565006 2025-10-01T09:27:37Z 2025-10-01T09:27:37Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, September<br />2025</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul> <li><span style="font-size: 16px;"></span>Range of maximum temps:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>17.78<span style="font-size: 16px;"></span>°<br />to<span style="color: #000000"></span><span style="font-size: 16px;"></span>30.56<span style="font-size: 16px;"></span>°</li></ul><ul> <li><span style="font-size: 16px;"></span>Maximum temp.<br />above normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>22<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span><br />days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>8<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li></ul><ul><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for<br />0/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul> <li><span style="font-size: 16px;"></span>Range of minimum temps:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>7.78<span style="font-size: 16px;"></span>° to<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>18.33<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for<br />1<span style="font-size: 16px;"></span>8<span style="color: #000000"></span><span style="font-size: 16px;"></span>/<span style="font-size: 16px;"></span>30<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal<br />for<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li></ul> <span style="font-size: 16px;"></span><u><strong>Average<br />Temperatures:</strong></u><ul><li><span style="font-size: 16px;"></span>Range of observed average temps:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>13.89<span style="font-size: 16px;"></span>° to<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>22.22<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for<br />1<span style="font-size: 16px;"></span>9<span style="color: #000000"></span><span style="font-size: 16px;"></span>/30<span style="font-size: 16px;"></span><br />days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>8<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span><br />days </li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span><br />days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days<br />with more than a trace of precip.:<br /><span style="font-size: 16px;"></span>6<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span>total<br />amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>39.36<span style="font-size: 16px;"></span> mm<br /><span style="font-size: 16px;"></span>average amount of precipitation for:<br /><span style="font-size: 16px;"></span>122.93<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference:<br />-<span style="font-size: 16px;"></span>83.57<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2025-10-01T09:27:37Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=169563552 2025-09-01T08:03:43Z 2025-09-01T08:03:43Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, August<br />2025</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul> <li><span style="font-size: 16px;"></span>Range of maximum temps:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>16.67<span style="font-size: 16px;"></span>°<br />to<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>31.67<span style="font-size: 16px;"></span>° </li></ul><ul> <li><span style="font-size: 16px;"></span>Maximum temp. above normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>16<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span><br />days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>15<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li></ul><ul><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for<br /><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span><br />days </li></ul> <span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul> <li><span style="font-size: 16px;"></span>Range of minimum temps:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>8.89<span style="font-size: 16px;"></span>° to<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="color: #000000"></span><span style="font-size: 16px;"></span>1.67<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for<br /><span style="font-size: 16px;"></span>16<span style="color: #000000"></span><span style="font-size: 16px;"></span>/<span style="font-size: 16px;"></span>31<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>15<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span><br /><span style="font-size: 16px;"></span>days </li></ul> <span style="font-size: 16px;"></span><u><strong>Average<br />Temperatures:</strong></u><ul><li><span style="font-size: 16px;"></span>Range of observed average temps:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>13.89<span style="font-size: 16px;"></span>° to<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>26.11<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for<br /><span style="font-size: 16px;"></span>15<span style="color: #000000"></span><span style="font-size: 16px;"></span>/31<span style="font-size: 16px;"></span><br />days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>14<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span><br />days </li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span><br />days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days<br />with more than a trace of precip.:<br /><span style="font-size: 16px;"></span>9<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span>total<br />amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation:<br /><span style="color: #000000"></span><span style="font-size: 16px;"></span>102.36<span style="font-size: 16px;"></span> mm<br /><span style="font-size: 16px;"></span>average amount of precipitation for:<br /><span style="font-size: 16px;"></span>98.04<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference:<br /><span style="font-size: 16px;"></span>4.32<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2025-09-01T08:03:43Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=159892281 2025-08-01T09:33:11Z 2025-08-01T09:33:11Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, July 2025</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>23.33<span style="font-size: 16px;"></span>° to<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="color: #000000"></span><span style="font-size: 16px;"></span>34.44<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for 2<span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>10<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for <span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>12.22<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>22.78<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for 2<span style="font-size: 16px;"></span>3<span style="color: #000000"></span><span style="font-size: 16px;"></span>/<span style="font-size: 16px;"></span>31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>7<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>17.78<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="color: #000000"></span><span style="font-size: 16px;"></span>7.78<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for 23<span style="color: #000000"></span><span style="font-size: 16px;"></span>/31<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>7<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: <span style="font-size: 16px;"></span>10<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>80.<span style="color: #000000"></span><span style="font-size: 16px;"></span>29<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: <span style="font-size: 16px;"></span>96.01<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference: -1<span style="font-size: 16px;"></span>5.75<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2025-08-01T09:33:11Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=157764026 2025-07-01T09:22:33Z 2025-07-01T09:22:33Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, June 2025</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>15.56<span style="font-size: 16px;"></span>° to<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="color: #000000"></span><span style="font-size: 16px;"></span>32.78<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for <span style="font-size: 16px;"></span>2<span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>7<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for 0/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="font-size: 16px;"></span>5<span style="font-size: 16px;"></span>.<span style="color: #000000"></span><span style="font-size: 16px;"></span>56<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>25.00<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for <span style="font-size: 16px;"></span>27<span style="color: #000000"></span><span style="font-size: 16px;"></span>/<span style="font-size: 16px;"></span>30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>11.67<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="color: #000000"></span><span style="font-size: 16px;"></span>8.33<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for <span style="font-size: 16px;"></span>23<span style="color: #000000"></span><span style="font-size: 16px;"></span>/30<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>4<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: <span style="font-size: 16px;"></span>8<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>80.51<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: <span style="font-size: 16px;"></span>100<span style="color: #000000"></span><span style="font-size: 16px;"></span>.07<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference: -<span style="font-size: 16px;"></span>19.56<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2025-07-01T09:22:33Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=155587819 2025-06-01T09:01:44Z 2025-06-01T09:01:21Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, April 2025</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>0.56<span style="font-size: 16px;"></span>° to<span style="color: #000000"></span><span style="font-size: 16px;"></span> 28.89<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for 1<span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>17<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for 0/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>-5.56<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>13.89<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>17<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>13<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/30<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: -<span style="color: #000000"></span><span style="font-size: 16px;"></span>2.22<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>20.00<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for 16<span style="color: #000000"></span><span style="font-size: 16px;"></span>/30<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>14<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: 18/<span style="color: #000000"></span><span style="font-size: 16px;"></span>30<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>91.67<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: <span style="color: #000000"></span><span style="font-size: 16px;"></span>84.07<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference: 7.60<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2025-06-01T09:01:21Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=155587750 2025-06-01T09:00:15Z 2025-06-01T09:00:14Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, April 2025</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>11.11<span style="font-size: 16px;"></span>° to<span style="color: #000000"></span><span style="font-size: 16px;"></span> 2<span style="color: #000000"></span><span style="font-size: 16px;"></span>6.11<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for 1<span style="color: #000000"></span><span style="font-size: 16px;"></span>3<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>8<span style="font-size: 16px;"></span>/3<span style="color: #000000"></span><span style="font-size: 16px;"></span>1 <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for 0/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="font-size: 16px;"></span>0.<span style="color: #000000"></span><span style="font-size: 16px;"></span>56<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>7.22<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>8/<span style="font-size: 16px;"></span>31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>13<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>7.78<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>2<span style="color: #000000"></span><span style="font-size: 16px;"></span>1.67<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for 1<span style="font-size: 16px;"></span>2<span style="color: #000000"></span><span style="font-size: 16px;"></span>/31<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>1<span style="color: #000000"></span><span style="font-size: 16px;"></span>9<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: 1<span style="font-size: 16px;"></span>5<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>160.53<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: <span style="color: #000000"></span><span style="font-size: 16px;"></span>84.07<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference: 7<span style="font-size: 16px;"></span>6<span style="font-size: 16px;"></span>.<span style="font-size: 16px;"></span>4<span style="font-size: 16px;"></span>6<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm

Michael Jabot 2025-06-01T09:00:14Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=150191503 2025-04-01T07:43:21Z 2025-04-01T07:43:21Z

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" />

Michael Jabot 2025-04-01T07:43:21Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=147858328 2025-03-01T12:47:29Z 2025-03-01T12:47:29Z

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" 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Michael Jabot 2025-03-01T12:47:29Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=145920600 2025-02-01T11:08:43Z 2025-02-01T11:08:43Z

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" 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Michael Jabot 2025-02-01T11:08:43Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=143876574 2025-01-01T12:22:59Z 2025-01-01T12:22:59Z

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kP9Nxi8T6fBBMB0+vd+BQCAbwmMBgAMp5O2GwYD9Q+51eCf/AoAAN8GGA0AeFyv76+v77vkSTdit/s3vwIAwDcARgMAAAAAioDRAAAAAIAiYDQAAAAAoAgYDQAAAAAoAkYDAAAAAIqA0QD+Cv6V6/QiwzeBL98reBjvC8nIcLscN+opBf/me/tWVB+ZOH2u9ABP572DvV4uh1U97EyF6JOmKBrXhMInBf3nQjofHegk/4qAn/3oAYRpK55ICLmdd6u2HttXFVKPKnj0lZP/vEa9ie9ZeVOyUUqpttLx5IJNsKwQNEGXDt5Q4Felgwvq/dcp4vc1wXMBowH8LfQjPF0q8Uuh9OPU+9X0V2OUeSTDG72wZ1+zvOz5Es/JH6G8E2Ti9DHPHyZGA0O3l9t5205oIOhIheiUpjwa/ynFWCQ12n3AYugaL90DEPzGqKkS88JoLIrHrlURTJZ7ekfU1mHukaLOclIvVK7VM6Dj+Wqnnyr3edvUlZHtdqSYQtsqbzS459ELCiFAP+IWvrdpn3G0T0r7zh3FBZ4DGA3gr0Eq6d8pDXqXN6OQ/xnnP5NqOlXP/0WSKR0fan1+wzn18GFENk7HbdcOx9Np15jX5eV6XM1Gw8lsVmAGdkhzTzTMrhmMJmRjhCOvKi0p5h0oG22y1O/MG9S3tBtRD4thbJnw+97ZL2fV4MMf+W3oZE47yomKShkc6h3z+BeCBXGyvp/oKWk/8V07qOLg6uFJzx4oKIQIbpORdWBNjzAjZAZnYwJPA4wG8Nf4p0YDz7QnFfK/Qw0U9XpfNtvBn4rVyyH+IaQgTmUPDF8ONIJl6qPLy233MuVXqvvnaTqkuScaw64ZTFZ7fgPaf8L5w0bDeTWJw6unpj0bgSfKkh/V0aDZAY+nrcxpRznZOZ9YQAeLEbzFzOJ6ku0aEbGaKPDtiv5CEPDDd0HEh5eqelkq92CBgmSEzfADgNEA/holRoNbl9UrwOIjzn/hflCNprON+VJSmwC8FefxfG2S2i9MAEezc86RNu0Swg9DovAi8oSHv7tQClkVR+GYyV91PWq3JM7Dy7Bqdreu+ijwouhKRVEiTUE0DjIaTHzDdmfK4sNGg0SNqH6UvNYQC0kF1GvIabJbRHrKiVYBuoZuki2Sgu0TEZeD7AFVyR3EhSARBXBcjtSfbG7+sZ2C5kJ6Gi94CmA0gL9GzwikB49hvT7SEjAvGYer+Of1lNQu+bhsac2d9eLldVbx/K1a1D1v1F/BJ2BaIUvXAiEozGQ6n7MnLYefGGvsrrySzub1BylDguyA41MSpxoH+CM9Wx8FXph8KooSaYienz2UPPSdfqTpd7t+8+lGg5I9HON4d1+8uN+x3uBxu5wO63ZSjaYJK7ivnHjpocsw4f0vUf7ZxvSG7QhVyXFuImQhSHiSwy2aqWRVBri43MSMqrmeqMBzAKMB/DV6RiC1wDoYzDZu0pnVpdM1YgmZlCzrWPqnN0HLOtPTv0mFrIVyrv1CmDCjhZt71VPXLu5eo+H6OhsM9TiQkcyH5qeHza7z8ERJnGqwNdsBMvVR4MWQS0VRIo2m52cPJQ/7U+snTrbPNhrUiBp/2psU7b7G40Zv4ewUnTNHVJNmtY8H8d5y4imOdhsc3BjPV+50BAeL8p90tJA9kN2MwaQKQcLWgbGYVarcC6lPWFOnc2cEeCpgNIC/RvcIFCofDX3IGc3DPvLfTgFC/woHJjQa+oVQRIbG/Zss1UDhZoYzklmu+5exmvvIFJymJE5lD7gKSNZHgRdHOhVFiTSWnp89nNFgd6mQffO5RoMSPjmivm3bqR2263Z94GMKJSnfrqdtSxs+A9/95cTTCIPBaLbav5E/M/0VzLMIKZKOBlXLPfZAthBiOCG2FFT/Mb2Htjvo9NW/S+oXPAEwGsBfo3sESmyp0p8rxlFMHnQh9K9wYEIDoF8IhTQapEsHNNp52/isZLfjYizKR/3aazEUxanc/AMZtj4um5kWvsCLT6ZMi6TxyEUj8Y0G/blMOyLLjQZOy5AMQ0sfZZ/FehagQHKCBmLPKC0pJ3aLDs2ESxZJ+8AfyyNIjJ6liTsKgToNyaLWKqwY3u5M2Aw/CRgN4K/RbTQkN5oFw0nShwfdhtTU45G5SyfwnBmZwuE+mYQIKU0E6ZInHLZiwu355z/TKl9kjpI4ScYcPCgVeEkkK/JdIo30L6JJEBoNJuTwZf15RgONqGa9oIe7zFgi2ANRVE5JiyBy5VhD24XqMrkTguyB3GURzD2FoJNSRyX0PlUNT9u1O7vPAfwIYDSAv0bSaFB6hhYc9G6ucPHBqiNFx7eTHl6HtZnClQORcGDC4b5fCOvwsNEgyEjGi+jjl33nRoYMuTh9kvUR0uOlJBVFj7+enz1io8HsiByNRh1i3gPFVzIrr+pHrY/0fLFH5IdyRbIgKEhssYV9QZsQfrPllpyYKiB7oGdp4o5CUOhrm/5sXqrglCXZVOPVBjbDjwJGA/hrpEYgtUFKKxR5Hw3fVDtcGBXb8WFHUwR+WOGXv3uEyREN9/1CyDBJlztIDhVsMkSlddk2VdmlAOk4Q1L1EdHjpSQVRY+/np89pNFg9id2iVkOrx8khlpJ390JnK1odO45NpssCLH9VyW+UXI6N9FsaUNv6kAl2QPdhs4dhaDR90aP6LClBy1cDIfDOEvgmYHRAP4WvDXA17L6ulujUfS1xZPlQQ2LertXcGSAF7G9i3x3i7qm05C8rtq88sb286app2pnu69qWbFOVurGu8u2bV9VKqymve+4fiF0GP/0hD7e5mKhwbZzRPHgy5H9ExtW2gRW/3IaGXWcjDOEBx4/G4IeL7fDC11SGT4FkaBbmuJoOB4Rjd4p4Jc2b8Ir2zLrUTCiKnmvp92yHg6q6TJ63yGsEm4nXmulnZDD+WtWrEw56YkE7zpqdfA4KC82nar6j2rd3GpTh21K7IGyQghhCUVr1BdK98xrgOcCRgP4K/iv28R4a7GXw7qx+9NH8tWdeAO7e/7nelzNeS+DOo52uGgFHjylc16zF3Xvk1Ku3is6vrdOIeTLO6lYyo0Gr2ACUbUWlhQYDZk4ffxsZHR6h5f9YqQ+K82vVE6j0SydVF6au6Lx36WKM0XGpF/aVHwlxR8gpqskanCuhuO6Xe0SD09FVXI5bdVzVd5NZM2abNEk+XKiZu/dNzZMvnvlrhpTPWO5TyREaxaZ6jYUFEICNpvFPB5NQfQkCJ4MGA0AgJ/Gh5aLAAB5YDQAAH4WdJKx7D1QAMB9wGgAAPwojotJ770WAIDHgNEAAAAAgCJgNAAAAACgCBgNAAAAACgCRgMAAAAAioDRAAAAAIAiYDQAAAAAoAgYDQAAAAAoAkYDAAAAAIqA0QAAAACAImA0AAAAAKAIGA0AAAAAKAJGAwAAAACKgNEAAAAAgCJgNAAAAACgCBgNAAAAACgCRgMAAAAAioDRAAAAAIAiYDQAAAAAoAgYDQAAAAAoAkYDAAAAAIqA0QAAAACAImA0AAAAAKAIGA0AAAAAKAJGAwAAAACKgNEAAAAAgCJgNAAAAACgCBgNAAAAACgCRgMAAAAAioDRAAAAAIAiYDQAAAAAoAgYDQAAAAAoAkYDAAAAAIqA0fCdOK8mA8VkdY5/AgAAAP41MBoi9i8Vjdua0fIY/n5ajr2fq3r9Fv7+IZ7TaDBSd9Ls4mAAAACeDRgNgutm5g121cvB//Hg2xSfPrY/tdEwWZ1u7+/vu8Yvndt5M6MS+0VGgy2PZ6pEAAAoAUaDxA57RPWydz+F8xC/aCDsggdJUxih0fD+/n5cjn5XWe3aIP8AAPBzgNEgoWGveTH2gbMabq9z9eeLGRZ/0UDYBRkNs1c1zZAyGngQ/TVldd023HBgNAAAfh4wGiRsNOz4C9kzDi7rejAYL092WAwGwtvluF219XhkbI3htN2aDQ9v69qbouCdEN6shbJLAi86Zt9NjUHX42pO8Vej+ZqGJOsyqMbNq91f4QfUce3bICpyWgwDX2/bdsJxTRb7K8VjXYb18khOfUijIeZ23i7qsU66Gk6b9eGif3o4w/6+inp9UYJPKYWgGjR3CHDZL2udXKttx9v5sF7OpiNTdtV4vjJF45eoZbI6l9VHQeKdwhPX08b9rnyMxs028AEAAA8Do0GijQZvz+NcfUa/raeDwXT95oZFZzTQb3Zd/3YyQ9h4eTJe3LA2WujNlcfFcDAYzu3Q53ZTuJit22Sxaob6Z3ZYHXetsWsYJZ3huNC/2biMkP5w7nytwu2MVbM9/pkGI2CwUJOlx2i47jgXXFIX/Vk+bHbGInk0wyYqlZVI8MGw3el5kA8IQOWoh/ohj8OXrfFALYQxBRDlv6w+OhPvF/62a+n3Sst3WKhKNfFnJAMAgGJgNEiM0eCN8/PXG5kQNEgljAb26UZVmpQg/fzHDeNG42utTWFC/Z2I2dthMVmqb8rbcWFsmWpKLp6czdaGs44ursSg4YIO55uzGojcNtARu9j59sG4ZLDpNBpogScoKbOz1JlXH86wyYqz3Xj24QEB1Nh8Oy0pGipH/s3ZKnZjbNtVyoqy+uhMvFf426uuPFtTFARGAwDgs4DRILFGg/sWHMxeXkbmezI1tMdk9PPhRZsNw8lkGP+Yjlm66Y123ohpB6SUOdA5SMmQb3+0izMRpAgddBkNdlAzY7gngHWSqd2ZYc+2cYddeFB/UIA8ZaV8h8+OxPuFtz4Gg9Fstb/Y2Q8mlR4AANwDjAaJMxo8q8H7wMvp9dt5t1rMpiOzq0Eh9LP7Hp78Eao7FbN0k8NP5xjaOUglQkpfUoQOuowGl3mJ9S5Tk1lJiJ10sxaQDvqgACG3y3GzbOqx3dUQ+pXlR8hMJH12JF4i/MEsgjDVpN2qSRcAAPgcYDRIPKPBrTN4k8IpvX5ez0hbD+fr49stPR4wl9e5GWtmr9HWwlTM0k0OP6nxUvpKCZUIKX1JETooMhq6IpKpyWAJsZNucWQypgRSAMd1v+CdoZOX3el6S0Uoy48o9NmReCKGBLez2bxqSFQEAAA8BowGiW802HXk1Jq3Vd5my6RbbE6NBwql+If1zHwyRj/LmFNucvBIjZfWzU5m28nrlC9pIkiX7tFK02U0WBNMXLTpIVO7M8Oem51p0Ak+KIDBNga7qUGK5oK7bQ6Bz8766Ei8THiNOmMxNRspowvKAADgYWA0SAKjwQwUnmKXet242NV0u1U+GDnP61pvZIj2RBpkzCk3OVClxks7xPBO+tt5MzeDSPdI+4VGg7fcM1nu1YzM+/vtetq2k5E7vSBTK8uwdfP2NJhjrdaae0wAgxNEb65InXex+yjGamy/HJaLjbIwyuqjI/EC4VVg78COyz0bDbJmAQDgPmA0CPgDMH9SwFPdxo87nDmetW07m4zmc/bk5h7eXtUgYVW6G27cgTnnZq9K8oclswtwa8YV6+u80un736B2hNOMX9Z0AC84O2mtG5vfRFwywTwuVXuyNOAYvN1hSJ87vS/DLmV9IPJ21C7eecq7BBDZtTMNg+G0adtmOprOeVnKP/wZPV9imklRfXQkrugRnq2CyeqogpqDF66ZwmgAAHwUGA0RTuMnH6MKb2lyfrxbkKbN5nRzI0Q1XOzji5zigYXu7omcpDdKLLomSvnyrgkKpT6v52MWaqJk8s4SVKPlIc4Mx5VI0NsL2nNXQ3y3UdJ3dDvRuF54e/VS6Ushkxn2itxdvDSatptTtHOkXACZAf9uqXq5v7iZAa/kPU8T/2apvvroS1zRKfxpo/Zn2o248c8wGgAAHwVGA/ghpJYsAAAAfCYwGsAPAUYDAAB8NTAaAvS8LgA/nbjpAwBAAdAdAbFmBeCHEjd9AAAoALoDAAAAAEXAaAAAAABAETAaAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAAAAQBEwGsC/5XJYzc21yLiWCQAAvjUwGr450WMXTDWazpbeowJPC732OVmebu/vl83sexgN9ELDt5AE3M67VVuPzWsaVfiWhqTEf78f95DMeL5WbfMruV2Om+Vsap5LUW/XrI/RaymO23mrPFeDQb3RL6x3kw4QP57mYV9XtS+oVMPpYl+UGPgVwGh4AviVR9Ob6TVkeuzw6Uc20l31+nsppKcyGui5z8Qr2j+CXUutfLm/0Kudlz0/25l6SI4o8d/v5/AyHM43yoy4XbbNsGp2GbNBdcuPtpO3Pyp5nZ4TZ/JHRns7rdWLquP5ane6ZkQK6AiQNxrm+nFV9bEyWR7sa7EfzSj4OcBoeAK4iwdDg36Mu33u4YKsoZ865P0VfnQJKvPNe3JcmM8xJf57/RxeKvtM/Pv7ZV3nkiN77aNjqeraY+89e/X6uXpr3ROBuB6VNaHffC+hO8CuHVTxT+o52/HyxH9Qvs3T9FQoH80p+DHAaHgCEkaDfub4uXsyqd2cTgb9XLeNmj/+PSXIrb7cVC7xH/mRRkM6OHfKz++AHG/1op5KN9Aq3j1p9QXYNaLRHF6GnjWVMBr+ZOZ3wG8DRsMTkDcavH6tV2sbWr80K5F2bXS/0GumzY63HvKa7aTdhqrgbbuo+bcAl7bnoRrXy561Tj86Wjx2qe0XZlWZkRouJzNl63betlP6vRrN12FQtUy8qM3uSrUwbX7ftzbN6mUfuFTt3ttBYqTxHWSSQipGxJJweTx3BhuBR0E9PZKuFX9MpbCoueqqSfMayHY9rm37U1GM67X+cv0U2EaSDSVHiX/pJ1qeGLZyeSK10chGQYVQtkMhBc80mFUCQo3npr0WcXcAlaNBsBATLU9UqQUT8DuB0fAEJIyG/Us1GAT67LBQymayOiqny2Ehvlf0p9F0Pl+zn636GvG3FOjvE60qzptZnAZFoaY8XfiUTtWw75pTu503c5Wcr3wS+YqIZL5dXunTum7b2WKnpLidyIedVn1/v7yS2CykzoSXSc6jP/3LS9Nuv5vY00AOo0ld6yRp4ncwnrdNE5Skr+ivm1kUi3R5JHcRmRLsqaeH0qUWp0qh5W2DtNI98Eeas1qfN6nqn61oH5oZu11Oh3U7qUZT3+zMU+K/w4/bCCmMag/RThTcvMYvXIx6i0JHH4mRNsz77XUed+Vu7g7AVkbcytxGyNF8dZ/hA340MBq+DtaTCc1yL+HQcHvbr+rhoJp6A51ObeRWR2+vYoziwW/hFlCj5QE1JRl8n/BHj52dVV8jQXhOI7ORUS2RDgazjdM2rMy8sTUz5PkImXkjm7cqHQtBkc7c+M2Z8BPhZGevSrLrrhmNX9wkgfnZLzjt3+WEd6+JkgrUtBxSpMsDuYtIlmB/PT2SLicVbAdgJ+NJy+LmvtS+m48bDRwtf7dPmtU+O4hrSvyX+OklUZ/asvIKVm8+igfkDGRyDJtdMEJz3bRbNcPjzZ7lx/G7A1CDCTd6AJAFRsMX4eklxQPa0hHF5XZbdyF1GrkEA0y4jU6MlmEIbVP43y9sdSTXfMl3PNpRei6K5JAXImSWYWRGA2QA/U08mKy2q8koUtGJYhAOMkmZiPCScPl47qT/onp6JF3pJTbIaMQcjObrU8bE+Qj3nhkq8V/iJ48oIVr6j4tel33W7HNc9y9jNTEXScIW6mAwmq32b9TpzaRduIHScneA43J831oG+N3AaPgaxDj/iFoyBPpaz4X3xid1mhgqIhfWNp4H0nd29oI0YopwY4WGfUcGQTS1kRqHIoTMMozMaIAMoDCrFIkvQGEjCAeZpExEeEm4fDx30n9RPT2SrvRi3OwWuetxpc740Yy2uPygC0rMyZltEFea/ygZgZkS/yV+kogS0oZyXFlkKceOAlWU0mKwZRydpuhagbgzAOU/1Q8ASAOj4Wv4OqPh/f22oyVo+d2gNkIuZtORuSgmNWoFGjlyoWlKb0+D+jxxB9hp1rM4GzxHGun/KCOpcShCyCzDSOVN9+U09XjktlqKRHQFxXPBKRtBOMgkS6SSLo/lzkf6L6qnR9KVXoxbON7SblzeEpAo3DSlRoM4H9lLif8SPwlECWmrOy566U9w/jOtcl64jOMf064dP6VdeZohf/MFABIYDV+EHpQMsrfegdDXPLoHff26a9VFLu3W3OMidZUYKqTLbd+Oqsosg4Zfi6QSU98qSbQCDc9pUXpu44XIl0RIKMNEGSUFPKzN1GwiAO9kmKxOvN0v3hcubAThECeZSkR4Sbg8kLsI6b+onh5JV3oxkxqp5Sm9lbJbjAcgse6ItcR/iZ8EooTsboKgPLjcvE02MbddOxxE+2p8KJ343oauWO8IQNMMWJoAdwGj4eugzvthiyGtr+lQlbd1XY8UrvfnNkJ2GQ0qHX/nYgTt6ZLzGxl4B1iwvYqPfCysdk7kK0bILMOEypv0tp9qciOk2cmg51aC+hE2gnCQ44WUSmyN5I2hn2w08IR4NBT019Mj6SZGHa5is7F11wTlLqO8FxVDNKAlziM6SvyX+CmELCZv67G3CODFz9Wev/OZTIaofi/bpnLTNxxpuE+Rj+Jk9i6WB6BpBixNgPuA0fAE8PxpqFn0Uqy58k0vpy75eONlv5xPJzRqOf3FWtzf2s3q0sZLHmZZ9WbPk+kzd2of2W45m7zs0+pWbxsIVzuCGesjnRKNNZmPlJl32/lHGUgrWy+8F6155XN/501TT9VcuU3kvK6HfnDeZuHfnMe2nrdRgx3ySaakMuPHjA/8Kzlm9SjaWX9/7gQ8bvOJ0cu2bV9VNvrq6aF0OZC48djN02gzg1qgOXHphmIuxKz1k4JTtJt+1R0SY/X3q2svuq7YMinwX+SnEK5hbjm306qhvhfGfzlwGeVzrW92lUiTzr/6elr5ZqH+3aXSF4BhFXK/tQR+OTAavjn+PTJVsPbIRwDsl407XD6cquFCK3nzqxcND6Cei4n3uldLHCHRWS13HRCvX2w6d8pfDt49N6Pwnhsep/in4SI1QSpl9sOQzEHpsIFkj5eT6IeLmfBRAWx4k2MvQk7CT4Hi8x3U9U+JJIVUzHW/0BWidgW+mVHXyPlY7iTntT5NHzyulK+nR9PVA9HcVWh4Wdf7+dV7BkpVtzFaiAeMhvfLaaueljI7dKgFkQVqCYyGAv9lfkoxNRy86ESXX5lrtYZRGcWYNiGJpmiCW9IoVq9shdHQF4B9xJOTABQBowFo6MgXvzhpuF12L+NH1nvBj4NHpo8sNwAAfgAwGgBDHx7yS/BHv4gEyoHRAACA0QActLdyON/YZ3RvlxPtQxi5rYvg1yK2PQAAfiMwGoDlba/eu3LPIFWj6Wwp1kLB70NsewAA/FJgNAAAAACgCBgNAAAAACgCRgMAAAAAioDRAAAAAIAiYDQAAAAAoAgYDQAAAAAoAkYDAN+N/UKfe8VdSh/BXYfdXY7qBYqpuQC72+s3gZ4G6Xq05bOxRSmvfwO/DRgN3xz/HYD4YVvtQT0tpPi8E/TiiUPwt8EFjJ8D3zDRVY6qpCt+duq4GHd6vZ/beaeeujAWSfxeR8jlsKqHJenTM1f+S1OX02Y5s1esVMP0gxrXo30KpluQJPxQJrQCgNHw/eHeqkh8W9hn8j7zrr7nMhroocoSXftUiOerwSP0Gl+qnL/qcRV6p929NskPvQ6GrXnQ3qEmO/h5sw5RDWQIOZuBLoD3X+7UyUSZOqg3ZfnN2dtlq95Breav9+gM6mdPoxXAlwGj4QlQim82Vw/xii67f6mqtp0PBqPo3dtfxM98HgNGw6fQZzR86Uio6nDmD8w3ftDee3ed32WdjYaT2YzM/7yoBmUzxG/eh69V8nvvQa7o42K8PJm/9dPt9zxySUX5VUUFngcYDU+A6q3Nlr4vvG6ve/5o+fqrO/N12/RNQD8lMBo+hT6jgSzOv9d5+C3veu3WDm67l2lLKwV9ojI02odqQKDfyv7j5iWPy1H8YUE5v2eOBUYDIGA0PAFsNLwflNXgd3z13TJenpKd+XY5bhb12Kxyjudr8/u+de8I8IeGdanafWLLk+9Ce8Yo0mrEUV4Oq/mY10kni739quqORkvi7fcT0ciUEtgYPJzWfdsuao5TreEu91ZTP5KwFX9MpbCoeZ26mjSvGeH6UOvdjdmAVw2nXul5RoMn32i+OsbzyV4ew4XqxHMR3v4Y7xMzW0oB2UZwh0hhwd9Om4Zn5FWDyMbf1ciI7mLsGonf1rOw+Vhv3uo/7xDwMpnPQz8805AZ8rtEtdAWpkwEBopo2OyczLyC4dsq1rLokDsohXE9r9X6hu8/q2T8nVimqSVaH7UUUwXVcDR92aVbH/hOwGh4AlT3Vp2Vphidulf6Q+1ykEbD5XVWKbWxVWupt/NG/eWpjOtOrWiq0c8EUF8dk9XJrJLKPQ3kMprU9WJHcR6XSuOM523TrI8qGK+SBruz5M4p6aI113Q+p2hul1eaN6jbdqZTOpGPDjWZ0bVac1IRaOn8xeSHEqaBWJVCy8943Y7kp2rkInUftMI8mKy48A4Lisf/7OM6mM7nK9rSppehB5M/Xq1wHmuuAbOW7Xwcab9LOCyomh6+7I28PaUUEjcCLqHwY7VHJFPws6at2+2Jn1E1EsbxFzSy3mLMtA6LbOq6e4xfWIjLnqQISqUjD53I0dynT1RF57GJ2/XtuF3ORtUksHLs5oowar1U0mbS41IwOyVMMXj57FEynJtwJYaWTcb6s+e2a6ncuKVw1RaVIvjHwGj4OngqUuik+zFGQ6hWlAlB6lMaDeTinbWgyclAZ2i1R+ut110zGr/432eZGP3Nlvzt4q+JUiKJcU/YHtJltHDTJ6zfPL3Iyi38SvJJ6tq3dR1GK2J5JGFOKtDZ7JSXLodK3ps14rT8kiH5gjVnswxtSpjPzfgbYNmHG1TZh2/IqUpy8veXUoBoBGJyv18kk7Fmy35UCBOBiL+/kfUWY7J1eMgWyZahVyh6s7FvPubz0IHsVSF9oqaOTTisthlUo3qxOYVGA/0YRZ10NBxe1E7JYMtDVNl9SoZrPugsqmit9JS89+Gi/HeUDvg2wGj4IlgDWD7UG1RcHIE3CqgtkNyn+5RRWh2dSSFPVtvVZBR/+8gYpYvQtjIR4SXnIs2Z7mgCZID394saDeNPYKX53XfVIwlLL1JXPohIi+ULdsxRrqwn/isa4KOF6thqcI1GUVBKAbIRRNsIS0RKZUwj4xelkqoBn48HoEXAaKmfSyW2OJN5yHFe18NBaJrH9Ikqjk2kuL3tVzUdnvA7ddI+SDpqsqVwTz+kBJzVoKwCf1mM2mY1Xez41Ad4FmA0fA3cgz7JalCR6fD8KTV7vbzO7aeP1LUxsj8rzCqFnPmXMUoXoW1lIsJLzuXOsTtEBtA6L4VT9I8kLL0YN3/T2UOItIR8xs18WHMeIx88vDlHHsb1OKO0tl/bBaUUIBtB5FIkUipjjIxflEqqBnw+HCA0zAzxjEo+D0mop3VbDAWiUqpF5x14XSo21OKog9YUImdsktUTkBA/2LttVlMdb+aYqdoZlLpYAnxLYDR8DdyDPPKdrR8VmQnPk36jkTfLnOzMao/SsqnHI3OvjNAZVki5yCpjlC6xtk0oDeEl5+IHKokmQAbQSw35IIpHEpZejFtuRr8LtYNvMZuOzJ08YVpCPuNmZnRT69RSQlb/ZDUorR3c/1VQSgGyEUQuRSKlMsbI+EtqoLsYEwEC4hR4RSQulNhXPg+S664dJfqYpEfUkmMThvjMpf47sGy7Gm6yFGT19CoZmoZjme1qagjtpZyqyTqRHvimwGj4IrhLWj7UH1RcLgK9Ld51QNmZz3+m1WBYr/Zv7CeljtROhsnqxJvZgu11yRiFS6xHE4kILzmXO8fuEBlAK73u42SPJCy9mK/rzIR+FhpJBuN2e7pyFYm0yCFU6eHsv1bs4RQHhQq+HtnKnL/eTstx9JlaUEoBshFELkUiiYK3yPhFqUQ10F+MqSrzEQHY8AnrkyPx1u/zeYihVcCyq1q7RS05NmHhqOL1lDBXlNFchOS/e3miRMnwJgxV+fuXKpeWQm9xTZsw4HsBo+Hr4I7aOeCVobqjF4capnz1T73VHyhIHfgzgXLd/ex2MtBuuM6xIOkitK1UGvGuNb2MKaO5c+wO4aE0umJb32WTmnrVPJKwGDzMJrnEJ1Qnerh2dSjng+OxVu4s46TFTrPBcBHoeg42axqptftLKUA2gtilRCRR8JY4tmwNmNAFxShrNUSkkLj1iJttvXEDWj4PIcpkiCYZbqflJG2odYpKP6aPTShhwl/kyU6ZK6qXbK9KrNJEnbdAySgoVNU0s1j482oSFLKoCPBdgdHw/aGDisF27hA2TrxN57yLqXk1l9c29VStHbr1DLUpy/PPk5fq8JR24Bj9lW2RBqsQXyqeAZE756sZndoiOWbqqLcfiBVlZzQypQgeqfjE6GXbtq8qG/rcnD4b+X67nnbL2SQ6a3hvwhxInENz8zTsoV/1aZ281MfN9sv5dEIGltOi2uTke3/t6cXg5J/elKK9GB9yIlxHFdxNyPSVUohoBOaCQzdQ9IskC94i4pc1EFZSQTGKWg3hQ8DhDAxLaCr5cuA6FrZSOg8++uSIJNlAbocXNeqmbbiOYxO62Oxl1RfeCRnHwxufRy90DwdnKimGhg9E2hOR521b10HZ9ikZA9eR3ItBZWgO++oTl8KqBd8RGA3fnMSVKAGJO3zoYtq5vntoTOf89bChfNgAxrsXA3V5P0ZO0XdplYu8uyUpxvv7db/grU7qGNhWXylhA/nRsLIR0ciUUpzXnF11vYy9bMK7EYgvGdqcjFH0aMLaJpj7V94E7/6UGg3eJrBqOFVjdlgyPBRMlpu1f21RfPqe8ujdvzNK+VCo3OVKL19KIaIRJBoK0SVSslQZEb/0KyqprxhFnCFBCv4SAl3eZS68GkZ1LOXKoXudJGwg+8Vo5O0KoGIbjWZiuib+iDfczoe1eq7KVCIJnDiR4O7Mosa0cT0ljStb1Xm9suWi6lIyfjSZvRi3wx/3xJYSWl9IAr49MBoAKKVzAhmAr4GG3W775BujjKzEJBd4WmA0AFAKjAbw98l8qn9nVEfh1c0rXXWfWnEBzwqMBgBK6VkgB+DzoY0dJSte3whlNFSz1XbdjsUT3eDZgdEAQBGJFXUAvhraAim2F35z9L4Pej4MGxV+GjAaAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAAAAQBEwGgAAAABQBIwGAAAAABQBowGAr8fePfz4gXt3fTFul+piv9B3E/cUNd2fXeb1L9B10/eXYE8QozWB+4DR8M3xb7qPXnI0HtSjPorPuz0AL859BZ9QqqzpoeZ7SLymGkEPa02W9MbZZtbp9V7MEw0JshUnLn28nXerth7b9yQyz0m82Tcy0k+TdHNcpN6lBKAbGA3fH36JT5G444WfePzkewo/YXj7i9AjnU+g+mg0+Vip4h7rMvoaMJVjvf6Se4fyRkPmlUpt5Hg2Az077b9bSQ9tDqKPgrdNXZnHOG9HSvXOC5u3qpjQmsB9wGh4ApQams3VM7tCD+5fqqpt54PB6D518ZN4FtUHo+Gv0Wc0fGWT2bWDyr0yzyirIP96BNkM/geBEj/8QCCBA4n53W3PDuHPh8R3RR4qpi8qBvBjgdHwBPDzLzQ1HWoepThGy9ePD0ZPzHXbPMmUPYyGv0aP0UBzU19VjLtGxHx4GXaM5jTaZ2chGH52unXx3l7V9GOwYMm5umf+BEYDeAAYDU+AfjPuoKwGf0ZBKY7x8pQcjG6X42ZRm41e1Xi+Nr/vW/eGAu+8si5Vu09s2fNdbudtO6VIqxFHSfvJeFl1stjbJZLuaLQkZstas5PRyJQS2Bg8nBJ0K75qUXjpbsF/JGEr/phKYVHzenM1aV4zwsWYenIJDKpJu43HkqzUOaPBC8CL3yZGbz+Mt9+F4nDNyHlK7MPLFZSU+npcNzpT8fp6UPGX/VKXnMpFLv6uiiDyzZvoMhr2C7NTgHHesgXZmYde3tb1oGp2OaOAPga6bQY2jIP80ApGFb4FxZZFl0x+2xpOm7lsTWozRTPVJURvR3A9pl5ecW7GiVqBLd5qNK7XuekV8LTAaHgClJpXGoM+SZxqV7Oa6vtFGg2X11k1GAybrVoTvZ036i/vE4R2gdHoZwKo2c/JSm0LI6TOJZfRpK4XO4rzSKus43nbNOujCnbZUpy+8uO9GH400oVHwcl0PqdobpdXmjeo23amUzrpxdqs8kkOpNpZF4GWbtg6zf1QwqQlVSm0vCtNryR3jAg+PFqL0L5UZVL7eeUANVfC7byZq1qY/LHjIG0J9GpaRxFVQsdbhFFBmYoOPmi5QY1fuOD0EnyQL2o/46adz1f7E/+uc/FARfQ072QDDpDF2FuQnXnoRE0zdDTfzmMTt8vpsG4n1WjqWzCqXv9QqYU5PC7VxsbJn9ig0+iSNjsldBb9PBxoZ+RkxRV9WFDjNg1DT+n5bUkvm8xe2bA4K6FM49Wtu6SEwHMBo+HrYMNf9u27MUZDqOyUCUFjNLkGaZCLN3XJ2kSMNbq3X3fNaPziJgmyMfqbLVlr+dqOEgm+faTqzriMFm76hDeBeZO5PBGbn3VNjQD0dRdEK2J5JGFOKphoZqe8dB6J0LwObUP3Sh3nlW0Cfw8sL3U74419NFvz+3k1GU2nIz9SPWFlfMSIghKT+2xLeT50vrxI9YBlal6FMBGI+Hsror95y3YWEBdjSUF25iEPVWl+aUIcm3BwcvzJPmlW+yCKSJYORwMJErfdqCJVsXlTmVzuLr7oo0UXm5Vel6ptauS/v4TAswGj4Yvwurwi05PLUHFxBKzbSJGpLZDcfympzgSkktSfBYPJaruajJpdePJCxihdhF6WiQgvORdpznRHEyADvL9flIYMJ29ZQ7pV4UcSll5SI1YOCh1+qPGSkwndL3UkAAWILRb6+HOxaKtBB3lbT0fLI6VqRl01NORHtURBxdsIKbZopjxeX0/lXSPil6UsKiLk4wFKCrIrD1mOy3F+HkFXTtpmMNyup21LJ6RkS7zDaMjnsKPpxsVICXjZUVaB13R4uWI0X58KTGjwtMBo+Bq4/36S1aAi0+HN/qfL69wqG0qrM36hJAmzSiF1loxRusQKJZGI8JJz+eQhw4zFCdx30CMJSy9WU+fmhD1kGZrQevzulzoSIDA5DPH3o9b0NPa9radU3V7mVYtKXgBiEAUVufBwFNcPjUfOMZV3jYhflrKoiJCPBygvyHykCa6qtyb6l4Fi7DLYDBSRMMJiYYLGFJG0bUXRR4hi9D5a2EgIDaLrcTVTyajtDOmLJcAPAEbD18D91+MuZROhIjPhedZ0NBo5ZZNUZmqn2LKpxyO360toBy3kMJ5oSMQoXYRCEZpYesm5fPKQoWe480EUjyQsvRi3kvUJWYY2RjYK+qWOBOCJfDHWRUKSA1kNxmZg25Oc1JDfvQtPFFTkklxej8sulXeNiF9kII6sv3nLAAEihaKC7MhDGjXNEF+u4FNybMIQn7nkv73jFCbX0ZSPIZlDUfS8EXIxm45GdodxWO5kvZDMShOlDCLaSjmh0FKzgB8AjIYvgjWO5R5dI1BxuQj0nmWnbKQyO/+ZVoNhvdq/sZ9Y/SnUTobJ6sS7zIINX8kYhYvQyzIR4SXncu+QESAD6IEsoz41jyQsvZiP1FB7p6HQkVDB1H6/1JEAerwOZzlI6uDaDhqcRsvjZV0bLU/Kn506Zs8JUVCxC49HYQmwoO6jV7Yfi4hflnJUEf3NW9RciAhQVJAdeUhBswNdhVtwbMIRGwSchUBizkQmQvbfvTxx3bWjwWDcbk9XjiNRjPzRMnu9qUmHTFoKvX21szWD5wRGw9dBXe7DFoPu8F4caqDxlRHpA3+UIC3uz3rKuUm1H05/BvAOqR4TQboIhSI0sdwambje9/4hI4anx6NJWRonO+/HeyTheCi0W/46tKcjF9rVZa/UsYyJC31oKBouAl3N8battRl0qU1eXqa9al0UVOzC44jYIDcY1Bs7RMn2YxHxx5mMK6KgeYuaC5EplBRkRx4S0DRD6kvcoGRM2xQqoegXzqLfzITEVOb5gzyJFZjoUnJts7p0442QDIWaNs04Fn7XBAUoCxn8DGA0fH/ooGKwOT2EjRNv5zd/vjav5mhVU0/VdKFbz1jXQ98/L96qs1LagWP09kHLNHhY8KViFSQ3oFczvuhWyTGrR/FOfKVZOqORKUWw+uQTo5dt276qbOhTgPp0o9pOtlvOJi/74NP33oQ5kLm61x4udPM07CFWs5re0P1SCxn1vpTJ8qAyrY/RyVlhHnOCMUxL0zWsEbKg9Mk+YUyZjF0OnC9hGyavOpfxi0xGFdHXvEUAAT+6EJgIBQWZz4OENyF02JIdxyai4qT7Ksbq79dgIuS2a4fqhoQ/qt2zwLLiPXjnsz3Oe1jN51PlYotBb05Z8qHTy345n07I6o8MG731RuzF0JYaBTcnLjtKADwrMBq+Of4FPXHvVejFCvrdLp9ej6u5vntoPF8dLlrfkQ8bwHj3YiBF4MfIKfourXLxX9FiP0kx3t+v+wWvbtLGKH2lhA3kR8MqSEQjU0pxXnN21SU/9rIJ77YgvqtnYzd1P5qwtgnm7hqj8AqgXqNh2KyDO4nC0ERealENJoB3rdIo82wRDfThGEVOQvOHyIJKXxilBjbv2qAoX6JwLTJ+4TdREV3NOxVniJ/CcOE1qc6CFHJ1Ij7aY8isybST9/fLaaueqzLbCkgYMmZif66tiHvAEnjlNqEITbmZYnjbtrq7DqfKcA27qyWzF+P86j2xpYQ2ti/4WcBoAKAUzLiCT4GG3ZRF8xQcXoZda2jghwOjAYBSYDSAzyDzqf6d2TXmigq1WcPcAQl+IzAaAChFrLYDcD/UjJ7M9FQrGZOXzWZZD7tOkYJfAIwGAIq4b1UbgDS0BbJrv8O3RLf+cNcQ+JXAaAAAAABAETAaAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAAAAQBEwGgAAAABQBIwGAMBvZr/Q9zVnr3Vm6NLmMq9/AbqI+m9eKmmv5/73eQf/FBgN3xz/Jv3oJUfjQT3O87m3B/Q8EgjAzyLx/GoEPWg1WdKjaJtZp9f7uZ136q0J825D8k2SiPhSyVQUiZcfrkf7vkZJKhH0dN4n5x08HTAavj/cVRWJDwt+4vGT7yl8LqOBHul8sgv2wPeir8XTBeL1uudFqMegp74Hk+XePNupHtgcDNvcI9cKumvJ2QxRFPr9VHF140G97skPed4uW/WsZzW/60Jo6modxQR+AzAangClsWZz9cy06K/7l6pq2/lgMPq9L8hslcKH0QA+QJ/R8JVtTKUdPOZwo3e1g6fpI5TN4F8qqaIIvyhI4FBi+r7wXjrVL9ffczcl2U4dxQR+AzAangDVVZstfVyErxurbj9avv7qnnzdNmq29YsUOvgd9BgN9IX999oYP1mdndig0T7UBAKOovUkpqfQw28Lsiyql4Pn1A2MBgCj4Slgo+H9oKwGv9erL5Lx8pTsybfLcbOozb4tdWW8+X3fujcU+CvDulTtPrHfyXe5nbctr4lWI46StofxIulksbffS93RaEnMDrRmJ6ORKSWwMXg41f62XdQcp1rAXe6tDn4kYSv+mEphUfPycTVpXjPCCWhB2aw6D6rRuF67z75sfT1W/hp/DXs4bTYd7wZ0SKDoEt6SFXV1jCXzKideXg9aymW/1EXd7PLx9xZFT+66jIb9wmbbSsV05MFvYrfTppnQX5kUInimIWsV0AaM7K8EW9JBam9/1IpFaIjwq61dQnntR+VwXqv1Dd9/tlz9zVhmNsNzs06qCE0nroaj6csuYyqB7wKMhidA9W3VU2l+0U0nKuWh5iSl0XB5nVWDwbDZqiXO23mj/vL0BW3qotHPBFCfHJOVHVGkCiWX0aSuFzuK80iLpuN52zTrowrGS6TBe79y25R00WprOp9TNLfLK80b1G070ymdyEeHjsy8V03Ougi0dP4y8UMJ02SPKoWWN5ndjuSnarqWnw1npbWNQDqklrqnvh4sf13PkxV50PmZ/EmOEH0SdAgfE4vK6Ybfs1w5NYtuVvED0SiWcdPO56v9iZfodXpx/AVF0Ze7VIsPSLWx3jxwoFnT1u32dKLf8yl46Ja7i80sTeexidvldFi3k2o0jTc58raHMAt6HcSfj/Dh9jOcb7ixm50SLhM95coFEC6z0JzNWH/53Hat10C53oqKCPxLYDR8HTxD2KmMyjBGQ6i7lAlBilEaDeTinbWgmclAYWiFRiup110zGr/4X2aZGP3Nlvzh4i+IUiLB2CA1ccZltHDTJ6zcPKXImi07V5tU6OqbJoxWxPJIwpxUoLDZKS+dRYvpFKiqPy11cX3dVf6Hl2G4P1b4cPRI0CV8jBCVZ8G9WuezCr4PXl73x3mOxQZS5ppfWPcVRU/ukg0zQLaxkjxQpFWzZT8qRD4Fi+x7IfGxCQcLSVSTZrWPjAbSRlGdJR0N1H7CLQ9RTfaVKxdJ0F9URVrp2TJ0eVX+O7IOvgcwGr4IrwcrPtQVVFwcAasq6nRqCyR36D41k9J5+ttxMFltV5NR/FUjY5QuQs3KRISXnIscHrujCZAB3t8vymaIP27VsrT7qHokYelFKsos/LjwaL4+lRoYsXCy4LqEo9Ws0Jphnf8n/ZEaEEd2r/BR4wn23FPlxHZWvLxOsXjjiUPG31sUMfJ3EUWICFCUB25i+e2MkvO6Hg5CAz4iOjaR4HY9bVs6UiULKS6TpKOG2k9kYvacnhDFxAk4q0FZBZ4Zwuqsmi52idOh4LsCo+Fr4O7zSVaDikyH56/f2evldW5nzqUWjZGdWWFWKeTMv4xRugg1KxMRXnIuYnjsiSZABtAKL4VT4Y8kLL0Yt5KR+HpczZSBoRbh06foDTKd+8ufh7UEyZE4Rkhwp/BdjYcrJ2qN8VZDGUv+l76iEMjfRRQhIkBRHkQT64b6Y6fFwFGWnHe48sJDPLMWS0OO6YNXrGmiIpFlHyCKSRs5RsWYBVXH27bl3R5qcmStzoKCbw+Mhq+Bu49Hvqf1oyIz4XnGbzQaud6X7Mlqg9Kyqccjt4lLqC8tpFw+lTFKF6FmpcYQXnIuYnjsiSZABtBLDfkgikcSll6MW8H6BKMu4dG74oJy76mv+8ufJ+1FnefpkYC8ZIQPkKJGLqnV9Vj6OIyH/KWvKBQ9uRNRhIgIi/IgmlgH11076ihUpuTYhCE+c8kWTWjcdrVdbj9Rkciy7ylXPRPHMtsF1RDaSzllizRfBeDbAKPhi+D+aPlQZ1BxuQh4ptjrfbInn/9Mq8GwXu3f2E+szRRqJ8NkdUpuj0vEKFyEmpWJCC85FzE89kQTIANojZdevTc8krD0Yr45c3vJMkS7A/vr64Hyp3EtPSBI+iVwJLc2OqSokYsejsK5GcqO980rY8n/0lsU/bkTUYSIAEV5EE0sC60VxlcxCQqOTTgocb+OyCFsqNREchGKCKgcguWJ/nI1mzBUqexfqlxaCr1/tbTFgn8GjIavg3tppzIqQ/VFLw41TPlTlNRV/TlG0gX+NKBcdz+7nQy0Z7BTyyddhJqVGiPej5a6rVcoVhmNSCmE5+GjK7b1RTapeVfNIwmzlyApvpEz8f0Us2uCKvFTK6uvVMFJ4VwgnpMKbg3K0idBh/ACKWrswmUm9scNhgvXVOIwDvlLX1H05S4VRYjMcEkeRBPLoEyGaJLhdlpOYquMhEgem1C/RIsWnEW/Xcq7nEjgbKa5XwU/R/23oFwVFKpqmlks/Hk1CaTuqQTwTYDR8P2hg4r+Pv8INk68jdy8hal5NdfSNvVUzSm79Qy13crzzzOX6uSUduAY/S1cIg3WH75UPAMi95NXMzqyRXLM1DlvPxBr485oZEoRrL/5xOhl27avKhu8YWOsz0aq3WG75Wzysg+mZ+5NmAOJQ2hunoY9JPWe1oh0uswcWtQ6va++Hi1/kkZ9CFLE77e346ad1qkzl30SdAgvEKKaCw7dWKJ30/CFxua4Yjhsiljyv/QWRV/uUlGEHNX9y+GY158H2cSS6FMXkqgZ5Y9N6JRMs6SbRsbq79fQwOC9z6MXurDkclBtN9lUNXwg0p6IPG/bup7QZ4Ae6PvLldHba8ReDG6f5hwvzzR0zUWA7wGMhm9O4j6UAL1YQb/b+c3rcTXXdw+N56vDRSta8mEDGO9eDNTf/Rg5Rd+lVS7y4pakGO/v1/2Cl8Bp95y+UsIG8qNhTSOikSmlOK85u+puGXd9kbvrh6/e2did/48mrG2CuX/fTXAevsNoOL967wkNqtHU2DM99fWh8ncXIPHlTqvcNvUeCbqEDxCiJpoTcTl4twaNps3av/0pk5tU/EVF0Z072RpC/AiHC68NduVBypVDyyIJmxFJEX/EGy6nrXquyl6SpIRJ7Sr02kPfXV+E3aeod7/a/ssF212ujsxejNvhz2w6cjc7cRzguwOjAYBS5Cw1AH8DGna7jY9vjLKgytbJwBMAowGAUmA0gH9C5lP9O6P6Ci9wquOfnduLwHMBowGAUniiOrXQDsDXQVsukote3xfanDlbbdfteDDMHLQBTwmMBgCKSKyVA/AXoC2Qqd0W3xm9qaMaThfupTjwE4DRAAAAAIAiYDQAAAAAoAgYDQAAAAAoAkYDAAAAAIqA0QAAAACAImA0AAAAAKAIGA0AAAAAKAJGAwAAAACKgNEAAAAAgCJgNAAAAACgCBgNAAAAACgCRgMAAAAAioDRAAAAAIAiYDQAAAAAoAgYDQAAAAAoAkYDAAAAAIqA0QAAAACAImA0AAAAAKAIGA0AAAAAKAJGAwAAAACKgNEAAAAAgCJgNAAAAACgCBgNAAAAACgCRgMAAAAAioDRAAAAAIAiYDQAAAAAoAgYDQAAAAAoAkYDAAAAAIqA0QAAAACAImA0AAAAAKAIGA0AAAAAKAJGw2exawZEs4t/6eW8mlDQyeoc/wQAAAB8G2A0ROxfKh78mdHyGP5+Wo69n6t6/aZ/+HVGg5G6kwdKAwAAwHcFRoPgupl5o171cvB/PPg2RTDI/1ajYbI63bzscyZu582MCuqB0nhWbHk8UyUCAMBdwGiQ2PGPqF727qdwHuIXjYgJeJA0ZRAaDe/v78fl6HcV0a4N8g8AAD8QGA0SGv+aF2MfOKvh9jpXf76Y8fEXjYgJyGiYvapphpTRwIPorymi67bh9gKjAQDwg4HRIGGjYcefyp5xcFnXg8F4ebLjox0R94uhnYEwg8bbunazEs3u/XbethNyqSbt1uyEEN7i6JTTmwu52F8plHUZ1ssjOVFANxGixXhbT42LFffh6LuQRkPM7bxd1GOddDWcNuvDRf/kF4IKfz2u5iPlUo3ma4rOugyqcfNqS8/fV1GvL0rwKaVQDadeITN3CHDZL2udXMsm4+18WC9n05Epumo8X9mS8UvUMlmd/WhN3bZxFRUk3i08cT1t3O/Kx2jcbAMfAADwcWA0SLTR4O15nKvvaRp/p+s3Nz76n9HHhTYxvEHT7o4Yv2yW4a5BFY/w5kVoo2tW4X7Dqtke/0yDIcpfQLFxOTGsJeGJ+2j0eXqMhuuuGfKvagfERX+WD5udGXed4IsVezVMVsdda+w3xis9E5XKSiT4YNju9DzIBwRQpaZH+iEPw5et+Z3ahcYUQJR/V9Km9K0dl2opicQLhL/tWvq90gIeFqpSTfwZyQAA4H5gNEiM0eB9x85fb2RC0GiVNBqsX181u90Rk+X+cvNjbLYubCJC53E435zVSOG2Z47YxU6ID8aJJJ0YNipP3Iejz9JpNNC6TmB/mA2l4+VJu/hlpT6ib8eFsdmqKbmkS09k5XZydpCafXhAADU2305s56lS45+cqWK3w7auSGXBE4nST/nsSLxf+NurMU5NjBQERgMA4NOB0SCxRoM3uT97eRmZL8vEGN9nNNhBrsebNBqsv7c/2sWN4YlwiREiMWw9Hn2WLqPBDmpmDPcEsE4yNb2zsKf0rJtn27gzLjyqPyhAllSRyoLPeU357Ei8X3jrYzAYzVZknfqk0gMAgIeA0SBxRkOwJcB+6SUVfGo8S/gs9JbyJ3V/IlzCV2LYejz6LF1Gg00tgfUuU5OCJ8ROulkLSAd9UICA2+W4WTb12O5qiLzK8iNkJpI+OxIvEf5gFkEYtWtGTboAAMAnA6NB4hkNvPlRa2IzO5xU8KmxK+Gz0FvKnxxrEuESvhLD1uPRZykyGroikqnJYAmxk25xZDKmBFIAy3W/4I2hk5fd6XpLxifLj0h4TfnsSDwRQwK3z9aQqAgAAPggMBokvtFgF5RTi9++Fi8Zu8q9pfzJsSYRzrq5S6nsKRDP18PRZ+kyGqzlJe7X9JCpydEyIXbSzc406AQfFEBjm4Dd1CAl84J7+xx8r3ZxwS4m9DQBQ5HwGnXGYmo2Ukb3kgEAwMeB0SAJjAYzZHgaPqngU2NXwmeht5S/slHdLudPlrTT/uCObfwzo8Fb5Zks9280b367nrbtZOROL8jU5NCcENu5eXsazIEROzn0mAAaJ4feW5E67uIKfqzG9sthudgoE8MO+Xyy4XbezM2g3tMELL3Cq8DOpvVyz0aDrFkAAHgQGA0C/hLMHxnwdLjnxx6t874HvcHFbOWzn/1Jb/aqJBedleO80ocJXMitGWlcOG/4YYb1eqVdvIOKj0efwQ6sg9Ei9T18DJ7sMAzn9sqFRFnJ9BNCeinrE5G3o3bxzlPeJUCcXTvTMBhOm7ZtpqPpfMbl55+cjV4tMa3DyceMX9Z0IDI4y5pPnOgRnqt8sjqqoObghWudMBoAAJ8GjIYIp/q9x6gcwV1M1k/oqh3DQYSGF+9mn4w3Gkii6JRT4ItCBns0gwFov9AXHI3q5f4SbMuYv14+Gn2C+G6jpO/odqJxvfD26qXSl0ImSs8flCt389Jo2m5O0aVU5QKIDPhXS1GZOsvMayWeL//6rvfzej7Wzs3mdPPOdlSjpZoM6E6c6BT+tFEbNDnpxM8wGgAAnwaMBvDcpJYsAAAAfAkwGsBzA6MBAAD+GjAaAvQELwA/lLjFAwDAPUCJBMQqFoCfRdziAQDgHqBEAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAAAAQBEwGgAAAABQBIwGAAAAABQBowH8Wy6H1dzcj4z7mUCa62Z2X+O4OwAAoAgYDd+c6LELphpNZ0vvdYGn5bprhuY9zs3sk4wGviMy8VxkJ/RCw+cIAD5G/MYX01E39wW4Xfbrlh7yGC78x8Pftu1EPzAyX6sm+Ve4nbftOCeq4XbeLmdT9bpIvdEvrHdREGfWi31BpRpOF/uCxMBvA0bDE8DPPZpRkJ5FplcPU33+qSBlX68/WTP9BqOB3vu8N4vPQsYG+CPfj9OUB7jsF5NqMJwuNkd+ZNxyeBkO5xtliN8u22ZYNbuM2aB64ye1k8thxc+ldsR3O62Vn/F8tTtdMyL5FMTZ4UV9o0yWB/tarPQBfj0wGp6AxCh44seS2+ceNsga+qlD35fyo0tOtfe7RqvCAG+v86EaKVOzCIeXyj4T/04vw2ZKl8y1gsT6UPMaw1E9mw6TozdzPap3zvWb7/0UxNnthfJtnqanQhFewK8HRsMTkDAa9HvHz92lSf/mlDPIc902agL5p5ZcoQ3gKApAvahqttGL6RppNKQNcu6LvYn18baez1ZHJUrHDBct3mV+S1AQZ5+XhNGQmK4BvxsYDU9A3mjwOjitU+5WDa18miVJqyD3C73XsNnx1kNevJ2021AnvG0XNf8W4NL2PFTjetmz6OlHV43rhZfafqEF1QgFlpWZsqXWZKf0ezWar11QP5B0yWTdbhyxQvguMikhjU7pRefIpS1dMtJ0ZirAxuBho78e1w3HoBpAs7Ef1Y+kawthTIWwqLnGqknzGspG1Wykqoaj6cuuu110U2QD+BQEeFvXg8Fgus4OgdHyxLCVyxOp/UUuWa/oqezXNDj3kh69FYeX4WBQvexj937ycVoyXqLliWryJ/YBfj0wGp6AhNFAo1Gg2A4LtUw5WR2V0+WwUEGqF2+jl/5Gms7na/azVd8x/pYC/WWjdcZ5M4vToCjUZKkLn1KuGvZdc2q380bNDQ98LZTIV0Qk8+3ySp/YddvOFjslxe1EPsbLUxzIj7Y/6yktSi6jSV3rpGiqeDCet00TRDN/dSVwpFrw05YuD2UqRGZRYb5MucA5Eq+8H0qXGpoqhJY33tJKt/pit9V+27VeqlwmthwfmhArsAFC+gPwcl739hm3EVLY0h6ynSi46McvXI6XPTWVjr7hSMf3/n57ncc9uJhcnB5ZL24j5GjOkxIABMBo+DpYYWb65j2EQ8Ttbb+qh4NqGq7NqtRGy6P58/Y6i1PmQXBhvcTLA2puMviyOS7VeGenaeljzQ/PaWQ08dt6OhgMZhundlgNemNseugLEDLvWhWH98WYEIICBdGKaOTKCAkTlBeL5+Xg7Q+Nl3EJ+YpdZkm6SGlKMhWQiFR/mfoFHkv3SLqcUvCFzk7WE8XqTe2rav640TCq52bygj7byZDN0RuAa26yOh7W/lRch22QJTnasmnllay2UjrsPkMyPls37VbN8JhZnGpcNo7n4vQo8AJAEhgNXwRrVsuHumcU12Cg51E7kVpBjqXhdjo5bAYhtE3hf/nw0Jtc/CXf8bBH6bkokkNfiJBZhinJqHQROwll7qWLSEpIIxwSLlIa6UekFCID0AJ0XOCUSbcq/Ui60osxJo0bW4fVdLHrbZOF3A6LyUTPbPDZQNXmm112uOwNwCMwTSHwEQQzGTCYvWZjTSNKyBR9NCnAfSNv9xlS8VkzZzAYzVZ7Pudh5urG7ssgRyZOnwIvACSB0fA1iHH+I/0zUNx6Trw3PqkVxJgRubCeCkbAsTd7QZoxRbixQsO+w8Em/r5PDUgRQmYZ5v6MJl2kiSBdRFJCGuGQcMmk3ZOpABlAW2kJ3CTAI+lKL8bNGSN2Xl9td+ieEwgIO0k+t+Wf7YY4AGUrbqglSxYSUUKm6GP52WLLZ0qTiE/BZeNN4ChKlywycfoUeAEgCYyGr+HrjAa1iExr0fKLQ22EXMymo5HdKSeHvK7RizeLuT0N6sOmthPT9LVWnA3+tgsHmzgjqQEpQsgsw0j1JwKVuEgTQbqIpIQ0wiHhkkm7J1MBMoA0+SSPpCu9GLdwtL1djpvFlE7/d8gdEnaSrlAkVnfmQqIA6fBp1x5ECbnFj1D+hMcUGW9cNrF72lWQidOnwAsASWA0fBGhQvxY9xSKm0d3b0BXO7FadQWMmX5NaQUxZkiX274dVZVZQK0X/q2TpBr7v3I0WpGGB7YoPbfxQuRLIiSUYR7KqHSRJoJ0EUkJaYRDwiWTdk+mAmQAbaZ1fjc/kq70YmaR0qtSiS2mnwCJ1d1SQqIAOhfRlFjUHMsQJWSKPioQTnLmbZJNk4rPukczDaWR5uL0KPACQBIYDV8HK65P6JsJxU2b3rw97HpEd1v0chshu0YvlY6/kS6CpnPl/EYGnvwNdtDxkQ93dW8iXzFCZhlGqj8RqMRFmgjSRSQlpJE7CfnUZUHaPZkK4AnxcPDgueuuNfpH0k0MU1yzZj/reTUJjgWKGO5FpRgdNOxeSCgJQA6RJzrXcveRRrKYIkvDLBt4UfFOj4JLn3PlxXGGZ0SvG9W6Os6NanJxehR4ASAJjIYngK+RDnv4lUYne1mcXlZd6nNv++V8OolUIqt/f4s3b2iz8ZKHWYea0+fK7I6z62m3nE1e9unvHvYdrXYE29n4NGKXDpQy8xjsH2kg7RyejFCB/I80GU2UdaNFg49RdulMSkijh6vJgjJ9OSzn85pGXc+LlEZEI1OK0MnQAZrLtm1fVXIU8bBe7elI7Pvt7bhpp7U9c/lQuhzIbr01GwjdSU5OVB/D1Scu480Edw1OnKLd63t7271wXkVdaWOnIIBpjc7TeTMfqb9f840vDQ/m3O9up1XDXS6U4XLgQirItnpyJWPrcZyTJVenKvlp5Vvt+neZSEechgIvAKSB0fDN8S+Uqfz1iPez3l+tLQN3ylwdJTvftLY3v3rR8CjtuZh4r3u1xBESnfJy9wLx+sXmlLcxlG/vvptReN+NvfdISbxIfe5Jmf0wJHNQOnFGdbZkNNKPHzHbWb5LG5cg+xHSMOc1n3OnXYHHqx7h8tKIaGRKKUwywetK7pYmPni4sicaHk1Xj0xzV4/hHV3vt8Of2dTuoqmG4/nK2wr5gNHw/nZYq9eZbJSjabPaB2N7aDQUBCD825e4OZbv2fS50vsV8YtOdPuVufZsGBWS5G09G3mbjyjQaDSKOkJwORpF6q0XCqOhIM4CLwB0A6MBaK77l7F+cdJwu9BHW/FGBvDj4JGpcwkJAPCLgNEAGNoVIT8JxX0G4FcBowEA4AOjAWhob+VwvrEP8N4uJ9qHMHJbF8FvQ2x7AAD8amA0AMvbXr135RY8q9F0tvRXUcHvQmx7AAD8dmA0AAAAAKAIGA0AAAAAKAJGAwAAAACKgNEAAAAAgCJgNAAAAACgCBgNAAAAACgCRgMA/4z9Qh9wxe1JH8KWo7ydLIBuQS/z+j2gx0C6Xmf5bOwpW7RIkAFGwzfHfxAg+SQuvzGkCB5AeOgiPzx99/d5rKZADPeDrsZLb1bxPenqvaYur/dzuxw33gMY6uEP/6UV4nISXnpev6B3ycx7ooqyKNyTFUk5euB35NAiQQYYDd8ffhBXkfjk4OcOxaV9jw1Fz2U0nFfj+7P4/RAPVoOH6Gu81CVyz2t/ELqDXTwF6r0FGnsxr74Ohl3vutBnv7MZyqJ429SV8XQ7kh4ofs+ewdXxoAsYDU+AUnezuXqRV+jE/UtVte18MBjdpxd+Aj9Et8Fo+Bz6jIavbC6qh4YjM7+97r3PrryEb5aS0dslsbIZ4sft+6Lgl7u9yQn+qkh8buRBiwRdwGh4ApSyaLb02TFenrwflIYYLV/V10SH7vmZXLeNmoB9ft0GFf059BgNPL7+tXLmqb7O92H109Z/MsM5Df9hfxeIKG6valYyWMfkjN8zxYIWCbqA0fAEsNHwflBWgz+joDTEeHkizeFrS7G9zm6MmKzOt/O2ndLv1Wi+csudvh/pEoRaKw+0p4zXTSeLvY1GbqRKuHjyiWhkSglsDB42ereiO6jG9XJvteUj6dpCGFMhLOqRDtS8ZmSTqPXuRW024FXjMFtGRXsSBRXDXI/rhsWLF6oTD0R4G2Hcl6kXg4pg47+B7pMrpXYbjW55kaLWdNkvdbGpOsrF31ULRHcxdhoN+wWnb3DevMaiWsvCy2RHHvrhmQZ/O0IMddths8tsOKA9GiU2QxDFrqU6D0wVKphOsf0eM5w2c7m0eTvv1Ls01o/p8f6WK9PUZOujlmJroBqN63VnvsC3BkbDE6B0g1JcNNPoRgGlVtS0ozAa7CeI3/FJdYwmdb3YXdRq5ynxKST1bhzqSIu143nbNOujUoiXbaPWVX3tKDdSSRf9iTSdzyma2+WV5g3qtp0F8nVoTZlF6zpstioOLdyw3VnhHkqXhmVVCC2/3qVXiqvGxZvn8jqrrES380b9FXz3caFP5/MVbWm76RL118NpC99g/MIS6hVzL1tHmoIOm4CajR++7LUXjmGyojrTefRTCIlKyVSyL3WfSCZj46adz1f7E3vQtfVALfQWY6LxBqSaCzeWmjNptggExZLPQyc8DZYW5nZ9O26Xs1E16dqi2HlsIhsF73qI0mX7JTujoStjuacuY0rBz+aBuq9uPJfDghq/VRwcXn3VOGh2w6zXnJVQpkvqvlNSiOCbAqPh62ALX3biuzFGQ6j4lAlBY3XKaJBTjBzW3y5Ji7xBOBmTCMVqyV9ZJZ3kGx9SPUsXbY0s3LQJfSP5apJnWvPTqolI1UdOGKuI5JF0OaVAg7NTXjgH+fTmi1mFe2KTRMFSNa9LuyJlo8WTWS9UuzGVjw4Eltty5ElMz577dS8qLUSUUjy53y+SHY1Mc1JBTAQi/t5a6C3G+40GLjS/VLjg/XLsyEMeMqjScwhWJwyqUb3YnBJeCHFswtEVRSRuh6OBekzctqOFHJWiN8PJVePi41ILolDlZKTXBe9sCpW3/kIE3xYYDV8EdxVLpsuWoeLiCLzBQW2B5JGGkooTSBsNkUEwFi7ST+widLPQxsIh4ZKR72OjwPtFacBwKGQN2Fpfj6QrvaQGrUJEZCyR/53G+bAi0LJUNMDHC9Wx1eBah4JiCC0cthhzX5+ilKJthCUicU69rYAeIn5RKrIWQj4egAs5svsom17GOvKQ4bp/GavZi84gt7f9qqaTD0nTIj42kSIZBWfyDqMhXwgdTVuUNDk4q0FZEV7r4/Wz0Xx96jexwRMAo+Fr4I76SVaDikyHNxudLq9z+1VHacXxp9Vyj0FQ4iI0htDGwiHhkpHvQ6OAHstSuDH5kXSlF6uJc6NuHhGZkMi46Y+70IIwxNNE7EuPM0pr+1P79FuC7GgoZQpcykSSbcci4helImsh5OMBuLFEBR9/ZXfkIYny32cxGHhRKTXdo7ISHpPIEEehW2UoLzsmL3lJ276idiJkSQebtM2yqeV6XM1UMjw3wkt84HmB0fA1cEf1uEPxCFRkJjzPBY5G3uRzUrGJji99PeYiNIbQxsIh4ZKR70OjgJ7kzodQPJKu9GLcStYn9MU/TT0eud14XmRCIuOmh/TkOrUUks1JshqU1vYu+tIxdIwCAilT4FImkmw7FhG/LOI4tr5iTAQIECnwikhUKrGvjjxIzn+mVbFnilxuRTFdvGMzj08cBRlu3sSaggomZZvkCkHUDm+EXMymI3OtVCw2GR8ss102DaGtlBMKnZleAU8CjIYvgrWPRWiGe1BxuQj0bnnXL5OKTXR86esxF6GbYz0rHRIuGfk+NArowSyjHjWPpCu9mO/UUDsnoZFkWK/2b8ESrwtIyYXWRzhpzIo9TIpjCb4e7Qn903IcfaZSDGUGDiNKKXIpEkm2HYuIX5RKXAu9xRgHiBEBtOUTzhVRJN76fUceIm67djgYv7hzRP2wSHG9lBybsMRR8N9BpjifiWFcEYcnouWJ665VFkG7PV05jlRJ0yYMVXD7l6pD+OT+a/BcwGj4Oqhvfdhi0D3bi0ONV/GdL+Jyp7Ra7jEISlyExhDaON7DZuycjkEoFY1MKYRH1nDWlVRX5/13j6TLXoKUeNtfRhP70PDqT9aKCeF4nBI7y8y+SM8O4C0M9SbQ9exv1jRCa+tfXosHNFFKkUuRSLLtWET8fbXQX4yy2kJkColrj6ihDhfRpt58pBYyGSJ/l21TuV6gxAtPQ3A/ieuKUkwfmyiJQmSK6iV/0CexSBP1Vm2Ju6qON0Jqb5xOM4uF3zWBi6wH8GTAaPj+0DXSwU71EDZOUtdI+2vWwhf3fal3g015IhSPDb40rGP85FlxTRZ0hPByWM7nNY26nheWrzMamVKETmZFjwls2/b1Yk8C6rOR77frabecTezJw8fS5UDilmDvbJ4uuIQm5C2Dzas5z9bUUzVH66lRDjuYLPkRAX3mLTi9yAKY9C8HTl4OZTqqhHVAMagPdZLj/fZ23LTTOnfmUpaSPrbnkiwQSbQdi4y/rxb6i1FWWwgf+w3X2qmxmJI3BR/MnefzEGAvc49xTYJjsicbL7yNURi4HccmyqIg82VQ1X9Ut+A8dS4H0IFId0j5sJrPp8rFlpTewLLkc6mX/XI+ndDRm2jPhd45I9y1MUfBzYnLTAbBUwCj4Zsjb0oJ0YsV9LtZx/bDsJvvq6VYfBeOt9uFQsmrXFLJK020nttLkNRJcj2aaS9+NKybRDQypRQmGXXRj72ryF0YxNf1bOym7UfT5TFuMndXGYW3AHUZDWoXmCmLMV3FEJYFhZ0sN+72m/ieJILulbL378TJW1R+MsXlrk3iJFa7zIY0WUqyPSm6RRIla5HxC7+JWuguRhlniJ/CcOGVz+XgXVA1igpeyJVDW5UJXJO4nQ9r9daUjpJLTFQBJZlsR8VRBD0gvN0sjVe0E3r/yhStKam3bcubEarhVJnjJrtRS8vsxTi/tvXYu9mJooj8gGcCRgMAPWBGFfwVaNjNGH3fH2W5JSa5wE8DRgMAPcBoAH+DzKf6d0Z1DV7OvNKd9rnFIfCDgNEAQA9iwR2Az4d2ZSR2qnxnlNFQzVbbdTuOn+gGPxUYDQB0UbywDcBHoC2QqQ0Z3xm9mYSesOrZOgF+CjAaAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAAAAQBEwGgAAAABQBIwGAAAAABQBowGAr2O/0HcUP3w1lLsh+eEofgW2pHtuOqA7lsu8/g06Lv7+Emxz+gZ5B88JjIZvjn+rfviio/WgHupRBI8/PHSJoX5bBtrkM3msKgL4rogPRfEb4K7Q1X7piarJkp4428w6vd5L/v2JjoqL74C8nXcr76UGeuMk8VDD9WhfzBDPoPRDD+B9at7BrwJGw/eHO7kicfWLfV8v9cplXluleS6j4bwa35/FfwCV6ofkfKw2fx997ZfK0X+z/RPJGw35Jx3JynE2A73/7b9iSU+HDuIrxQ7qvU5+mvN22aqHOqv5XU8+UMfpKCYAuoDR8AQofTSbz1MKcf9SVW07HwxGv+/a9+2HB+O/A4yGv0Wf0fCVLWbXDqpmG9ojyijoeEuCbIbokfTwu4AEDiWmrwR/ckJNVty3wkHNqaOYAOgCRsMTwK/C0Bx1qIKUwhgtX3+lDrhumyeZs4fR8LfoMRroC/urinHXiJgPL8PU5KCBhv/8NISCH6luvXiPy1H8hUCWRXXHww8wGsBHgNHwBOin5A7KavD1xY0eljsJHSB23/m7n27nbcvrodVovjraaU25Qyobaq080IYyXladLPY2GvtUg9WgCRdPPhGNTCmBjcHDRv+2XdQcpVrxXbo78R9J1xbCmAphUfN6czVpXjOyCYzR4CUZlDyTlTpnNHgBopVtbx+Mt8+FInHNx3mSX6m5gmrF6rm3uq4eIGjWmQZ12S91yalcPNSyiNvluFnUZiNjNQ5bSJfRsF+YnQKM85YvyK489PK2rgdVs8vaBNQvOm0GtouD/Lz9US0hXGHh1pHJNhHU0rie12p9I/CvNlM0U11C9JKELvfU0yvOzThREZouWQ1H05fdl6wBge8AjIYnQGkF1cfp08SpeDW7qT5khNGQHGZIoY4mdb3YqSXT24l8hB8oUunGoY60zDqet02zPip9x4uqgfI7qjXXIG3pohXddD6naG6XV5o3qNt2FsjXMbkrs2hdh82WloVZuGHrNPdD6ZKSVIXQ8q6025HLrmNE8OFSnc7nK7UMbdahB5M/rpyLpBblN6y5Dm7nzTyKkfcEjr2q5DiC2lVf3rmnCaOCMvUcDFe0rXAwfuGC00vwvtyc9XHTzuer/Yl/N7l4oGVdXmeVLabbeaP+CiSS7TdAFmN/QXbmoQs1zdDRejuPTdwup8O6nVSjabzJkbc9hOmrb4doPsKHa2k433DbNTslvGKiTRKDyYqL/bCgxm3bhZ7S89uSnt2Y8U6K264d2uC6decrATw9MBq+Dp5b7FRjZRijIdR6yoQgjZoyGuScOIf1t0tSxw/CyZhEKP7U8bUdTZj6xofUzdJFjxkLN23C6tCbzWVdmN+2loiUvu6CWEUkj6TLKQUTzeyUF86HkgzGB7MOrcusV+o4q2wS+HXJMXojLHtptsbDeTUZTacjP1Y9UWV8RIiCEpP7bEt5PvSuXC9ObXqYFqVCmAgeaFkUxDtCRL/7Et1tNBQUZFce8lCVdixNxMcmHJwcUU2a1T4yGkinROknHQ3KeImsk7jjq/DeDCa3Pu/36GNFl5uVnq0q513lLV8J4OmB0fBFeH1f8aFOpOLiCFjJkUZTWyC5H8uhPms0RAZBvIk65Sd2EYpZqGLhkHDJyBe4iJRCZID3i1LV4eQJD3XuK+yRdKWXxICVh5O0w7eCBDVp9EsdCcChI4slXtnWVoMO87aejpZHWuAyo64aGzqGNVFQ8TZCiixaSme5I2sn/EY1PNKyIsTvIoYQ4b+oIDvykOW4HGenERTRsYkEt+tp29LBKFlGcZEkHTXZWsoXkyxGKgIvP8qKcE2HW1o1XewSp0PBzwNGw9fA+umTrAYVmQ7PXwGz18vr3CodqX5TOl/6eswlrVH8pIRDwiUjX+AiUgqRAVhDpnBD9iPpSi/GbfInO+g6RJLGTX/d9UsdCcABohjFRAAF0sPF23pKrcUTRbWk5MUfGil16BLYPZboI1Y2H4v8qajcfcTvIoYQ4b+oIKWgfVxVJ+0yCSjKDoPNQBHJibJYYr8xRYhZA0VfjmQxeh8rPNkSWkRv23ait0NMmjUtwoGfC4yGr4H1k0dHH+1FRWbC8/TpaDRySiepA4TOl74ecxEaRahi4ZBwycgXuIiUQmQAXmrIh1A8kq70YtyK1idEksZNf772Sx0JkFrYjv0YF7IajM3AYwg5qTG/cxeelDp04dWEWOyo7GTzscifSspdbYRcNvV45HY1er+LGEJEfEUFKQXtQU0ziMsVfAqOTRjiM5ds0YS2aldTTNZSIkdqI+RiNh2N7Abj6HcyPkhmpYESFhFtUVXrXyIs+GHAaPgiuCdbPtSNVFwuAr132SmdhA6INXzS12MuQjHHSlY6JFwy8gUuIqUQGYBVZPfhs0fSlV7MR2pu81kAxRfq9GBevF/qSAA9EoSzHJRK+LlJg9Noebysa6PlSfmzU9f0eaqgYhceccMSYEHdBIZsPhb5U2+5n/9Mq8GwXu3fOP74dxlDiPBfVJBS0E5odqCzbPuPTThIGL9tkENY6lQRiWGcEBFQjoLlieuuHQ0G43Z7urJMqWLkj5XZ601NOnQIn9owC34WMBq+Du7fsv/djVJbXhxqvPK1Emm1eHZS6Hyp+x5zERpFqOJ4G1/yGuS0fN2DdwgPvOEMu775JjVRq3kk3XgotFv+OpSnRzwKGQ1sp4p6pY5l5NSD+W0q4uEitDw44ra1NoMutcnLy7TTSkkVVOySuFWIZ7Hrja152Xws8qdMudsUaXD0My32lYgYQuJiLCtIKWgXNM2QG8EJJWTSqFAJRT9wDv1mJkudBM7Kl1hF4lqyTtpmdREmlzR0OtOmGUcynleTwKWnEsDTA6Ph+0PXSAe71EPYOEldI+1v3xK+9EktMVwGe/ZEKNY4vjRsEfjJsyqeLGhx83JYzuc1jbqeF5avMxqZUoROZkUvCWzb9vViTwHqs5FqO9luOZu87INP33vT5UDi1Jp3ME8XnD/EOvhHffGvPdfnH03sk1rIyAFMlCbGZhdeamAGnWAQ05npHNeSBcVxyUHdFMvlwKUi7ICoaeZ+kuUeZZv39DWvfMnyedPUU7WSHu/Iy7cYPvkbmAgFBSkE7YA3IXTZkvljE1Fx0sUhY/X3a7jQcabpkdEL3eTBhd41RPOBSHsi8rxt63pCp1L0QK/NiqU+MblfzqfB7xa99ybei0Fim+PC+sRlOoPgZwCj4ZvjX9QjurFbrKDfzTqqvNzH99VSLL4Lx9vtQqH817PYTyp5pUjWc3sJkrrvR4+b2osfDasgEY1MKYVJRl3yo0wHwt0NxHf1bE7mw/fRdFmbT+b+BTnhAfo+o2Gy3Kz9u3P8S5CYvNSiFkwA78KeUSJGgkb6UIWTU6z5Q2RBySZF0HVX5kqqYVQqonDTP5W3rOtxZZrVmC698JuVlDnEj2+48FpUZ0EmpOhAfLQLyK7JjfGX01Y9V2UvSVLCpHYVuvuwqC1tbNPPYPcpViN6AEvbjd7VTOb34VQZrvb3KCfpvRi3w5/Z1O6FqIZcNeDnAqMBgB7ktDYAj0DDbsqkeQoOL8OuRTTwS4DRAEAPMBrAp5D+VP/W7BqzyKl2a+g7IMGvBkYDAD2ILQUAPAC1oyezPdUK0ORls1nWw85jpOD3AKMBgC7uW9UGIANtgYy3CXx7dPMPdg2B3w2MBgAAAAAUAaMBAAAAAEXAaAAAAABAETAaAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAPxC3L3T3Vcn0KXN5iXubq9/AbqH+m/eKWmLKXf5NfhtwGj45vhX6ocvOloP6pUeRfD4w0OXGOKBOvCr4FsIuroJPT3ZbC/v77fjYtzp9SGuR/vyhXjRJIG4U/Jy2izd0w/0rEni5Yc7U4mgF/OgF4AGRsP3h/usIvGFwU89igsLf4PRcF6N788iAI7ebqJ6RN8j4h/goN7d5Cc29fuQ1bzrpmYycpzNQA9k+e9i0iOdg2Ek8L2pCKinPY1eAF8MjIYnQKm22XyeGtD3L1XVtvPBYPT7XpLZKhOnQ+ED0EOf0fC1oyUZ/N4TpHRnZNelkcpm8H+maZDAOwkcSnx3KhIqpi8rBvBkwGh4AlSfbbb0lRG+cqz6/2j5+iu79HXb9E0tA9BNn9FAdulXdS16ozw09im93MwGjfahAhDoV9z/uBnJe1NJAaMBeMBoeALYaHg/KKvB7/6315lSIqJL7xd6idNoQ38zE+3rot+r0Xx1tLOUcsNTNtRaebgcVvMxr5JOFnsbjX2qwWrihIsnn4hGppTAxuBho3/bLmqOUi3gLvd2ifeRdG0hjKkQFjVviasmzWtGNgkJZASuhqPpy87IdLscN+5HdcO/TPme4tf4a9jDabPpejbgdt6tGrPTrxpOw9goJrMNcFCNxvU6MWplZfUamPbpKkcsr/v1czttmgn9pdpjNv7esujOXZfR8LaehY0s1cDuyEMMry3Ua38Hgh7zE7715qUSm2HY7Fwe702F8dqPyuG8Vusbvv9su/X3YJnZDM/NOuW7BPjuwGh4AlQnV12WJhrdvKLSImqXgzAaktqQ9iuMJnW92F1u7++3E/kIvzfknoY41HGpQo3nbdOsj2ok4jXSYG/WUS2hBmlLF623pvM5RXO7vNK8Qd22s0C+DiUps2hdh81WxaGFG7Y7K9xD6ZLZowqh3dLi8e3IZde4ePPcdu1QFSqVll5S1kV8eZ1VVtjbeaP+CvX7I8X/ft1xGpwi52fyJz1C0HK38Xs5LKI2cVZDjilNne24xA2xrIkGxpVTs+hmBT4Qjetn1rR1uz2dyINpj3H8BWXRk7tcG3LIDvGxPPjsWjVghmmrz4DBYNAmBOo8NnG7vh23y9momjTr0Ey7MxUFtx+zU+J22VNBe3noabecf/WZ46Blk7H+4OnoEuAJgNHwdZDGCbvbYxijIdRxyoQgBZkyGjhxOUz72yXl3KuMSYTiLxd/RZTmP31VLDWxdNFDwMJNm7B287Qiq7bwG8knEan6pgljFZE8ki6nFChsdsoL56AEx65M1SSzLmKKxDsSQyWZKLj7iv/wMgzrWfjwUNJ5k1ecd9sCdBE77a/aXG6IFbLGDYzP+fgeeHk9MHmouKpmy55UEBOBiL+/LLpzl2lDPsJo+GAefFg9RGknHRXi2ITD6plBNaoXm1NoNKQiTDoaqP2EWx6iiuxrt1wkQX9RdreVvqNLgCcARsMXwerI8qE+oeLiCFhnUe9TWyC5Z8uh3nRMMf5EBkG8yyvlJ3YRelQoXuGQcMnIF7iIlEJkgPeLshnC4ZF3hrmPqkfSlV6koszCVVZNFzve4t6BTOeB4qdFrNCaYZ3vrXPniaLnpaXRfH3qt46krGEDo8qJ7SyxvM7143+kGmT8vWUR8+EAH82DT3LkTjrKYxMpbm/7VU2HJ/zliWSESUcNtZ/IxJSaIkCWIiXgrAZlFXhmyB1dAnxDYDR8DdyPPslqUJHp8PyxNHu9vM7tFLrUptnBMdLpj7jEelSqDOGQcMnIJzVPnC+HDMAKL4XT4I+kK70Yt6KR+G3b8sq22gmROkVvkOncX/w8rCXwvuw6iKO/HlczZR3xVyyvzmSQsoYuXDnRSMU2neco6sci44+FjctC8OEAH82DT3LkJkd5Eko5F513ONIJ7GiypTQVhZyNSRZ9QKIUg13bZh3VUdwlwDcERsPXwP3II9/l+lGRmfA89TcajVw3THZpobikr8dcYj0qVYZwSLhk5AtcREohMgAvNeRDKB5JV3oxbiXrEwRtHJvy8OtHrdyXTT0e2b2GUri7ip/n7HtHLA+1VXAxm47MBUGyBGkzISv54Cs2RMoauqRW12PpE/VjkfH3lYWiO3eJAAFxCh/Ng48+HRmYnelWVXJswhCfuSxPheH2E7UAWfQ97VbPxLHMdh01JNclwHcHRsMXwR3T8qFeoeJyEejTCK4byi6dUlzS12MusR6VOlM4JFwy8gUuIqUQGYA1Xmb1XvNIutKL+ebM7SXLoffqaX19/jOtBsN6tX/jqpTpPFD8NK6lBwTJddcq3d5uT1cWQUTvSO1s9JGyhi56OArnZig9/5tX1I9Fxi+EjcqiP3dx4cXEAT6ahwDyFjYhqrzYPCg5NmHhHMWbeApSMZD/7uWJ/nZrNmGoUtm/VLm0FGGXAE8AjIavg7trVgmXozqlF4car+IrXsRko1BcUuc+5hLrUaky5E7CxG29afm6B+8QnogPr9bWF9mk5l01j6TLXoKU+CLOxPdTzHk1CeaVvchJd/vTtnKfxAPFz1NRs6Ib/7SR5cSLJqd3TSBfnFSIlDVy4TIT++MGw4U3Qon6scj4e8qiL3cigESk8ME8BMhbliiquMWTjOljEyqh8BfOoj9IF6Zi4W4V/Mx7EFyr6G+3CgpVNc0sFr6jS4BnAEbD94eukfY3/EewcZK6Rtpfxxa+9MErMVwGW7hEKFYgvjRsEfjJs2adLGit8nJYzuc1jbqeF5avMxqZUoROZqUuIbhs2/b1Yo6LjfXZyPfb9bRbziYv+2BW5t50OZA4hOads9MFlxgnKKw9tMifVVqn85az5pV/Om+aeqrWAHwV+1Dxc5L1ak8Rv9/ejpt2WqfOXOoBYqnPvu2X8+mEzh9ola7VOf1sTlxmDSUhq2hgXDn6QmNzXDFc8JD1YxHx95VFX+5EAAFf4B6McB/LQwSdaB2MXugqkctBtSoxeHYcm9BFMllyTd8uvBMyNppLUvHgA5H2ROR529Z1UG4F7ZbQ22vEXoyOLgGeARgN35zExSgBerGCfjcPVvlh2M331VIsvgvH2+1CoeTNLanklV5Yz+0lSOrgOGs348WPhlWNiEamlMIkoy6XsfcXuat++Oqdjd35/2i6PApM5v59N+GjP3mj4Xb4494TGlTD8Xxl931djytTTOwcFtPjxe/uP+LLnVbZbep2R1o1nCpLS9tHOvrza1uPvZudyEscBSFkTTQnxeXg3Ro0moa3Csj8WUT80m+iLLpzJ+IMCVLwCvfhPKTwaip9CxcJmWpYitv5sFbPVekUq6Fql4ka6k0lwpUb73615cbF0NNuLZm9GF1dAjwBMBoA6KFvEhuAr4GG3QLb43uiDKiydTLwTMBoAKAHGA3gn5D5VP/OqL7C65tXuuS+f40GPBswGgDogeexsyvfAHwJtGmja/vBN0QZDdVstV23Y/FEN/gZwGgAoIvEUjkAfwHaAim2F35z9J4OehoMGxV+JjAaAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAAAAQBEwGgAAAABQBIwGAAAAABQBowEAAAAARcBoAAAAAEARMBoAAAAAUASMBgAAAAAUAaMBAAAAAEXAaAAAAABAETAaAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAAAAQBEwGgAAAABQBIwGAAAAABQBowEAAAAARcBoAAAAAEARMBoAAAAAUASMBgAAAAAUAaMBAAAAAEXAaAAAAABAETAaAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAAAAQBEwGgAAAABQBIwGAAAAABQBowEAAAAARcBoAAAAAEARMBo62b9UA6JeX+LffiK7hrPbxWR1joMBAAD4FcBo6MIbQ3+H1cAZHjZbldnzaqIz3+ze398vhwX9/ZuMBl0EvynLAADQAYyGPLfXubUZBoPZ6y328PMgo8EMkZHRoApk9stG0F1L+f9NWQYAgA5gNGS5rOvBoF4u63Dk/NEoo2G0PPIfwmh4f/sz+U0j6HXb8OrU78kyAAB0AqMhx9t6StMLcujkX2u924GoXvaR43T9pr1eDutmOtI/VON6sT3rOQvfvxqXLvtlzR6rVsWnPu7Ph/VyNh0Nbfj56ni1YsTRG6qq8uXNi9BFOuc+t/N2UY+1bNVw2qwPdhFnvzAyc/i3bTvhvE0We8qBcxnWS5cpb02oejm8X4+r+Zi9ibzfI8DttGk4OVs3nYXrB7dMVme7zcXaEtRSNNa86q/aTuE5kv3Kr9pqNJquToEPAAD4u8BoyHBajgeDuVqSsGOnGsI8vDF1ax2Py9FgMBibj3XjiXcJ3E5LDuK+XK8bNeOvnBarZqjjM4PPvqUBQ28xuGyNBxKLeFOzIUo064WHGP/TuE+ELD1Gw3XH8kxWp5tLetjs7Lh+XKjCUOFXNiqiarbHP9NgTGazi7AyqkJpdRSGyR8r98MCUN77C9fZL2FhuTqzztaS8Eqqs2r7hT+rWR3lYak83M6bmfJh4k9LBgAAXwyMhjTOZjCGwMCbuGfsF6bnTsrcjjsUiz/tQEseCuvFfVfT8GEGTBoc+Dc3Z3EwQ1Orhw47rNuxSgwmBSLk6DQazIYPN9gb6cZL8zXsIhjON2pu42LG0cFgxC52BWAw9oY/r1CW+wsPqmbYNabbnQKQbaDHZiqc3sJNlWbOWVZEd9X2C28bnbVIqSZhNAAA/ikwGpLQl6MdVe14ElkNdvw17jQWuDHLKH5visIoe+tkR5bEwBwjhibnYEaWeDApESFHl9HAeyKDUyXWu3WyLnZoo00RCmcipArAudk5HFvWg8kfNc4/KEAeUbiJ0sw6pwInc8YUCG+NhkE1aeVqkhQBAAD+AjAaUpDNkBg8Yh1tlT8PwHobRGp1XhB/MsqRhbldjptlU4/twnvg18xhi+UJM4lfIkKOLqPB/SaxhZQYs+VglyqApBsfZDBBHxUgoLtwU9JmnO80GkqEf9uEu2ZG81W05QEAAP46MBok4VHLEDedHXpVVsNxOfaX5lODiyQ/sry/X/cL3ro3edmdrrfk0HQ7LMZq46OOpRqG2xxLRMhRZDTInxyJMVvKkyqAlFsU2aMCWEoKV0qbcU4FTuaCSXqXXA6rWbClw9+vAQAA/wAYDQKeCA/VuZ1Wjy95clZD085jm8Iua3Tc8ZAfWWzUNlI51vB2umjVxKdEhBxdRoNYmUmRGLPleJsqgKSbmWngnDwqgKakcD05vH0OnrNb4HE7EIqMhiLhNbfLfj3nfSmy+QEAwN8FRkMMb2/0DkQQbok5Hn3t0KAMh134m91UP5xv1NesGgPe9qvZaNo5ZjJuFNOy2O341q+2ZUYvh6xFUCBCji6jwTtnOFnu3zje62nbTkbeAQA5Zt9rNNhqsOmZUf5BAeJf8oXrm1x0HOZyWC42KnHrzCcbLgdz2qPUaOgXnuTzT8lo/8ZokOUIAAB/ARgNIeYkXGw0nFf2Yy9aoXDDstsBaXl7nXuH7SwTey2BG6tiY8RbJRlOm7ZtpqPpXM9W24HTToAEqDP/GzWckZ8+EbI4c2i2SfhVqzGS4fzVFo898Wi3PdpidJ/YW5OKVwAuZT6ReLOnJ/xB8g4BxBd9QeEqvEsZCJ28ZygqhvV6pV28wB1V2y88GzXqzAdNq4gTmTAaAAD/BBgNPt4YUQ0XdndCdJPToKoDu0GH8nZA+oQXK43C+4eCMSnYD6FQ9xrpG4HG9XJ/8QYrLcJtZ04sCrzYukTI0JNlJrqdKNxNEcZA0gTZpRj9e5E8kW0+q6EVezieL/eRDPcIEGegv3AjX5N26wyC/WJKyVYjCuvOdgyq+asq3J6q7RP+slO3TrkNmnGtwWgAAPwTYDQ8MfrsRDhwXPYv/A37xONJx8Q+AACAfweMhufFLE5EI6s5B9p7edP3BUYDAAB8S2A0BOixCoDnIW7EAADwZUDjBMT6GIBvT9yIAQDgy4DGAQAAAEARMBoAAAAAUASMBgAAAAAUAaMBAAAAAEXAaAAAAABAETAaAAAAAFAEjAYAAAAAFAGjAfxbLofV3LzAcN/N1/ZxifuCfUfsSxW4AhMA8K2B0fDNiV+OIqrRdLb0njd6WuhRUf3A9Gb2wOhPF07fH+wbwi9ywmj4LfA7pnfUd0GAtJe3bTvRL7PN1+bx26/idjlu1Ftr9iG2abPOvad7O2/b8X2d93beqtirwaDeuOfb7EP3ElcYf7UYfjQwGp4Afj3aNP/b9bRt6U2q+/rbN4Q6e73ue3KzA4rh6cuBoFqOFf5vg95O/wWFYIa54qwWBEh7ObwMh/ON+sCgB+arZpcZL1X7+2hP4udwdHrvt8t+yU/q/RHRXg4rfoq+OMnbaa1CjOer3eka5iFvNNgHeIqLAfQCo+EJSHxAnJZkNrR5FfIMfHyc/EFGA02afKgwfgAfbxHPwPnPpJpO1avwhVktCJDxcnipxq57qCfcMzGQufbRnqS643h59FyOS2UaeCLob/7hqJ5Nh8VGw/WozI9hs01+YOzaQRX/9LaeDsbLk/6ruBhAPzAanoCE0aAfgizrcd8V0lMf670wGn4S122jJpB/eCGo4b1e7xOdOkNBgKwXOVqmPzRYx3x+T+J4q5eDdXlbz2crWrEoXlukVcwOn7tGlMvhZTiYrt/cn2XFAAqA0fCFqDU7vYw2mq8OSSO5hLzR0Gx9t9t5t2powY9XExd7u5i4X+hFxmbHWw9ZrEm7tf2KeNsuav4twKXteajG9XLfnSk/umpcL7zU9gstqCanEq7HdTPNrpAao0EVtfaVyZSOYlANR9OXnRPbi19Fv7GrncE+y8t+WbO8zX+7XSbVcLEnv7Z4B1VtNVU2Zo1flMNpM5eVHKBWi10+1MKsLjBv20u3QLm6y+XUyNLRrih4X5vJJhzgRE7EkS3LXMMmGV2rqEa2uLz8jqnhLHR+q0nzGrbBzobzIG/rmso51amTFATo8hLNyw9bOS+f2jflumN3B+yDZxrsKkFAqdGgDIBB9cItuwhVIOEKREExgEJgNHwZYqFt2Ozu6W6OhC6g7fZByz/QRrrJ6qicLodFbOCbb4npfL5mP1tlvvtbCrRBvyTz5nbezOI0KAo1R+jCd/Q+9l1zarfzZk6zkd7yZiJfESzR+GWnUjRLpH6SFMVoUtct7wu9HSlOz8tt19JXCkvBQltFZT5h+McTl5AnIam1cdPO56v9iVNX4l5fZ6pCA8lp2sSzGHpi1rWx3FNZmtLJFsbllSqDi15XjVd1BQL11F0mp73tqrfN9CUckG4RPWUZNezb5ZXmK+q2nS244XAQN1ltOpBsON5I09lwHp3pU6MZz9+nsyooCNDnxe0AFOa0R3oE7+2A3fDUkYhVk04y5vY6j1VZH8rKCGpbUVYMoB8YDV8EN/UI0ZDLCHXB7W2/qoeDaroKPl1VDxy55cQbDSNBj6Q+Olq4FcdoeUBN2gUGPX8l2Hk8pZyC8JxGZiOjWlMcDGYbZyfpInFfHWkd58Ga3UtR7+Vw5chRePOQxouVikdDVw5KClMs9Anji0g59vSTHo9MaCUPi0uS+dWpysIru56YqShDsbvXakiQmfte46rxfPcI1Ft32Zx2t6u+NtOfcECyRfSUZaJh71rV0LzilYkmGg47FTWcB40GZdsNtdzJrMYUBCjwUkRyBO/vgF2QxdHxqZRMUsCV2W7VlJA3z8YrHCmoyQU1Cz4VGA1fBDf1mMmfR5oy6wIPsz25C9kjySXQKOG2M0omH0KPD77BzwNdcnWQfMdjA6XnoujTcQelsqJPDE7SxktRhNusOJiNlo2XarrYiSIjj6GIJKGrpVT0TDRIq1TCJdSumPOFky+MEFl0nQL1110+pxFhu+ppMwUJB8hs9ZalSDIZjegN0ktsiXU0nMdQw7ubyUgJEFEQoMBLIaKEyjpgluv+ZazmGTtaVCpJAR/IGAxGs9X+jfJppuXCHZeW43J831oGuBMYDV/E5xsNWhfoVYW+vpbokUK3Ri7cPT0PpB/sVyaPxQnCjRWacOTWRF/TPTqOh9Y4ozxg5ActE637LLfzkmrVeu22lnD8CdzYmYpeQxk0g7T6/vLWbftiFvMEClk9HSSKrkug/rrryGlI2K562kxBwgGJbPWVZarkZDSiN0gvxs310VzD6YPjMehUaaZ+9mo/j60At+MieVlBQYACL8WIEirrgBmUJN0WQzpJCecpMmfzSxa0UFc2EQIeBEbDF/F1yxPvtx2t2UpDW21YW8ymI3Ozyp1Gg540d+vTyp53i+JkBvV1cQsbTcJoCDKSUtwePCDFKYaaJjXW6WjDPaJqF+GUDoZb72LAk6SiN9DIzzW6f6nMDDHRF3OycGT1hNC1OU09HrkNpKHvDoH6664rp13tqrvNFCQckGgRfWWZKjkZjRifpBfjFn5EpxpOHxyPgUOFbjEJE6ogQIGXckQJlXXAFOc/06rbB9Mfk81k7CvtytMMfvsDXwCMhi9DdOmO1b1uhIJjTR10juuuVUNGuzUXn8geKXSrdLnt21FVmXXDeuHfOkkqJGXcJ9EKJ5xZofTcZ6jIV4RezUwodjuNQH9GQqUmVTXh5k+Kv3OitWso5eXd8fKk7MNoCbUn5tTo1L08QXp4WJsZ2nTR5QXqr7tcTvvbVVebKUg4IJWtnrJMNWMZjZBaejHTIsmFE7lr+KOkBOikIECBlyyihMo6oID2j45fwgM2aVJJSshXvHCWloKmGbA08dXAaPhCvvDIJW0O81YztXJ23SW3EbLLaFDp+BvOIvSYFM9vZOAdU8HYxUc+FnYESeQrwExCekqAF5rdFbIJ5UEJ20Dn1SSIwFdUHL83vSvIDaUMF0jTTMWRsr6YE4s3/PxEpjBIe/tlmVzg6BCot+4yOe1tVz1tpj/hAJ4QD8eCvrIUzTjVsMT4lGs4tuS6Gs5nIGXsoSBAgZcs1CS9Ha+Kgg4YQSZDVEqXbVMlra2yImUhQiP4ulGtMN7sSNMMD87mgnJgNDwBfI102Lv0ITtzR5peflzq82H75Xw6oS3mrr+zRvG3QvPIY+MlD7OcOjC7odVXJ39L3q6n3XI2edmnPzrYdzRzHcy28HMLcdf3YZnNvs/LgU58Sd0vLq51B/LIgznwpw/ORYcv1Ac8/fx+eztu2mntTvORWssPijr11JjYE/OZ79s1BxEPq/l8qlwyhcGTJ82rOZ/Z1FNljQrfeYH66i6T07521dtmehMO4YF7QgeDLtu2fVUx95WlaNhsgHmZ4aEuPDn0oYajy6t3xMvDjT8scBYqE2kqQESBlyw8NrM+uZ1WDVd5bwcM4epLkDJk1GszSXOQyzb8mPGOJ1/2yylt3wkbOWvE2FoGnw+Mhm+Of/GKd0+PHXfsl4A7hjycKg2ttaL51YuGhxr/SiAd73WvpqJDosNN7v4cnovenDrGi/fLwbsXZhTeC2MfdvSuJEpAl+/YK5DC+6FYnwybdXDpUejldvjjns9RMURTPt6tUHR1zcrtlfclzCyT0mAkhm6mI2bF9bia20uF1C47VpWZwvB8cw6M70iwLoHyddeV0+52VdJmOhJOcF5zRoNnhfJlKRu2yEzQhQJrZzCZu/Z5X8P5mNEgZGTyRkMmgE+Bl26u+wXVNF3fZbPa0wEDTNuQ+EbD23o28vbHULyj0cg1+9hooFbo3RJHUsRHWsScGPgqYDQADZ2R4hcnDbfL7oXm+kvXpMHv4nnbDI9vqQ9gAEAXMBoAQ5a6/Mjp3J4HfjdP3GZgNADwGDAagIb2Vg7nG/vu7O1yon0II7d1EQCf520zYtsDAKAIGA3A8rZX7xK5xcZqNJ0txeIhAI6nbDMfXv4H4PcCowEAAAAARcBoAAAAAEARMBoAAAAAUASMBgAAAAAUAaMBAAAAAEXAaAAAAABAETAawDOxX+jTfU9/LY899vf0OenE3uEs74ACd2Abfk850pXdZV6/B6of/NXbn9EiPwqMhqfCPDv3zW/O+VJ+zl1+/L7QT8hJN2WvGYIe+NWtrnKkx8H4Vm/1GlSX1/u5nXerth7zCyjyrQ7ictos3Ysd6pUQ9apKB6TQ/IcpU6kkbv24Hu2rNklBuuFHMj+3eH4RMBqeCX6XWLxg+8sQLyE/LX33Lavff4BqIzPvB+TjX9NnfFE5Jx+h/jj0OLt7aZLfrB0M250b0OlScfsipvPT8YlDdpD/dmiYin56dBBfwHVQ1jY/n6vfH63m4q3MLs6rcWdJgi5gNDwRqovN20a+e/+7+DlGQ09Ofopqg9HwOfQZDX026EdQaQePWOsPmGZrXVQ1hwsN1IA7JBZvsqpUwjdaKU9hpuj9bc/SMNOvdyxxoEV+BBgNz4PqLPPXK6kOf0bvt9Ez1D4R3TnJP5T8ZEBFfw49RgMP0dnm9NnwA9adExu6Bf/JLB7Q6D9/lYsPHpxK62XquBzFX01kWdyzaIsW+RFgNDwNqouRRpC6w+7tUeuI+l16u3PKv17fe5a+GtfLve3w/gbD22nTTOgvm4haaWymeqGxGk4X+3Ay0H/u3sMpsGzCKfzYEiuWZqilPV+8rDmar46+RLTkadZFB9VoXK89I8tfEB1Om4192TnYI3XZL2uOotklHivwy9x+5GRjNgl4xTCcNvPs7gwvdour8lwyvvy387ZlP9VovlYhvfKaeBVoA40p0EJnupo0r8VK9XY5bha12YBXjTlBg1HRTqRBNWnjdWgvU7wabmv04807IFtKYRsir/mWmG0r+fi7aoHoLsZEx3fsF7a5W6mYjjz09PpOeKah8+OF6n3Y7OJS1VCn6rYZrls1rxrqOloECW2VfvM6aFzjel6r9Y3Af1bFJfq+52bVgSpl2ySHo+nLLt36fgAwGp6F/UulByfuruEs3vtVzxb6IxB9ejiVqvvwltYLeSnQX5Pknjdr2rrdnvitQu5WtII4mKyOFO6wUN58s562X+klRrWSOauixc6ehEPYc72m1My66OSP179Zd07n8xWnyDF6fs5Kr5j0bsdw46SWlnNzO+lvIRc9T+Q07Xy+2p94TZXCHtVnUaRo1BfO8GWvc9IXs1Zt0bJw2mgg0oNETzIUaDSp68VOpXM7UhbG87ZpuEx1cQXampSgCtTyrjNdaFWTqyWfyyvVOJe3rv9Aq1PGZex+G+BMjV9YZr2W7Xn4ePMOiUuJizH8WC1siYm2IuMvqIXeYsy0Bwu3r7A59eYh2+t76DIIbte343Y5G1UTz/ITdB6buF1Oh3U7qUZT8clA2x7CXOqlEn8+wocbl9lsYXdKePnsVnFsuiij2sXJsxt6wea2a70uyVVbVIrPCYyGr4Nn1jr7eTlkM+hWfFnXsT4xij/YiPw683rlmwo0WrhZPe5pXiwkb9VsuZur9UYWXLl704EczuWJpPF7P80fuh7cn7AH7xD3XyzmFUtfu7KcvroJD5Vo5ekWW+0cjXnM2Y+fpPVGi+irRZUqh2XR/LFWBXW2W0/MVAyhqdc3n5wcJHqSMaOA88CfZqKCggGSA0XCKad0LYWQz5krF65/L1uJ2Glm2sXORovXRrQHrzl/uHkHiFLiQcAr7JKWmG0rMv7+WugtxnR7cEijoSQPuV7fCSWV9me13qAa1YvNKWM0iGMTDs4HRzFpVvvEPGPcaZKOBuoxoXkSV3aPiuPWGEShCsqKz8aj864yly6dHwGMhi/Ca/mKDzYh1Qq9Rl1kNahm7RS1HtrDLymll515Tk3fG2tzRLpLKhCOSMdbkLAjmbF4xTIhJ4czQvDk4Wi+PokR46B+CuNnBWLXXSk74UeFJrYa3NyPoifmfM4yqk4WNNGTTLY6fBc5ukiX1KBViIgsVaSUD+OJ/ojWpLmReDn9aPMOkKUU7TrN11c8zifbioy/oBZC5O8iihARoCgPid7Uw3ldDwfjl2hpJeL2tl/VdHgiORsRH5tIcLuetq2qwkQ5xsWWdNRkG1e+JGVJU9l6vV1ZEa71sWaopotd4nTozwNGw9cQ2QydLbQfc9QywvssIah7mJ7I2yatB1bSCZy+CMb6DqIexd9QwRgx9uz2goQdwVBiiD/IU3KSm03zelzN1IjHXzveOW9Wowmc5pfq3sKhdaEqO87Ten0xJ4fgVE48hOrqTyYlv4hGjC4JF+OW3cWWR0QmRTKeuAWHJp8h/hr8aPMOkCJFLkUtUcaS/6WgFkLk7yKKEBGgKA89bTCGpvr7LAYDL+lFA7aCRI0WWJPoZal4PjQWOOz+AWLWQCGrJ0SWdPjFEH4vqJ+3LW8IUZMjPXdTPD0wGr4G7sAeHS20F9Vgox7BY1C8i4hcWa3uX6rggDQtBXYL0aE+1C6hxWw6Mte2BFHxxLvb06DWRd1Sc0HCjtSCpVCGKTnJLfzmo51N3JPt144wcCRd+oQVEJW6qhP/+HhfzMmcpXLiIVVXbzIp+UU0cYGmXIxbPJ2VRu3gWzb1eOR243mRSZFsijSkc6biMhdif7B5B0iRIpdkfcXFJGPJ/yKyE0fWW4wyihARYVEeetpgwHXXjjJTB2kyZy5Ljk0Y4jOXOsrAlu1qqsnGJaunW8WFfT/6XrA+1DbWKX+siCz/JGA0fBHcji0faUSqi4k2mvyKsEeYVbMODXnqOwmb3yOjPkhTDMbt9nTlXi51123fjqpKW9rRHW4FCTt0Dw+/buPPCPo71BDJiVgi2uJGejTlz5LQJw5eEp6/3k7LcbSJqyfmpF57YHmiJ5mU/CKaeNxIuZgWlpne9zn/mVaDYb3av3Gti8jIIWoCwaQxj25hUhxLOJn2oeYdIEspcilqiTKW/C+9tdBbjDKKEBGgKA+ZXp+A9hfH9yx1k2z1vNBUaDOwfH7NkkPYWKj9CBWpERGQXMHyRIGKM31/9npT3wsd0ustrnGmfxAwGr4Obt2y9d2J0pSJmbfYAmdYrTaNbNZa4Yp4HGn1odWxGyDFfJ/SDP5mq4j+hD14/1swIJCKGS4irRGUCPdnE2rXBBEEutT0/Ky0CXXvo8M3TRXrqL6YE1Ye770QJW6hIFHV9yWTkF9oQDG6pEZorom4FSUgje0XuFiJycVuWxVnSmw0GwzqTah5P9K8A2QpxS4lLTEO45C/9NVCfzHKKEJktZbkId3rJcpkiCYZbqflJNodEZpy6WOZyl/62ITKQfSLnFKVjYXylC2XxOIXNy7r1K/iGEpn2jTx98J5NQlceurp6YHR8M1hTRBsLGfYaBDDB/tPqU99qk0fe1P7jHbL2cQeGMylpPvcUh8n2i/n0wlt+za9hMLNIu3u05dwAHuOFjtCZaWNMe3F+rHH63SfJYHN8T6ndUhc9UFHR/Peb2/HTTutoyOLHUaQTj0u9/6Y6UPNnQk8rObzqXLJL+2yelQhaMak4TroSUbIzxrSr1c2Vvws6lYTn0qLT3ImBxeeM2hezUHSpp6qRSEvW/2xay/Gx+XAHqTefbx5h4hS0tuGvAwWt8RUWxG/9NZCfzHKKEL4KZOgOfXnIdPrY7gpJvDqiPPs3QFNOyHjqqKYYjtCE7aCd3XJxVj9/Rr2EO5Joxe6h4PbSqKpWPhApD0Red62dR2osF4VZ9A7Z+Ieyz3SHPHmmYZMDn8EMBq+M6xXGO8Om/DqH/8Ho1riZq1xF8vwMsLGHi/wY4w7i93kUw2nSidrxW39Xfdqci+kGgdX5eQTTnA5eBexjPxbfphdM5gsN+72pvAmoPf386v34o2KwQwkGu+OIQq7cnuevQKPitWh/MRFpOmIWXE9rub25iS1W0obIPbGIsF1v6Cip8tmbJHlk/Hlb1Wcsl6TWeQqncz9C3DCA/J5o8HP1pjuzjDZMtGfV5Nhsw6uLRI3dqlMeRdfJTwwjzXvEFFKgYtXtZ0tMVmQ4pfyWuguRj+KVPb9CIPm1JUHKVcOLYvEG61v58NaPVdlaoAqMT5OQPWXHeIvp616rspekqTkTe0q9K8JS12iFuNUGG+MtirMXs3UreIM6c0Yt8Mf90qXyre+QeanAqMBfIzr/mWsX9Yz3C67F5p9Ll5iBv8WVpJJkwCAz4NG3ZTR8xwcXobxzMkvBEYD+BC0Hii/HHq2+IHvBYwG8DdIf6l/b3aNOzY9Ti1L/jpgNICPQfetDecbs/FY3QBLS6cjb7cV+N7IXQ4AfDrUzJ7NNFUrM5OXzWZZD+88O/JTgdEAPsrbXr30Yo83q5XI2VIsZoLvSmJ9HYBPh7ZAxrsEvj+6e6jnw/q2TvwSYDQAAAAAoAgYDQAAAAAoAkYDAAAAAIqA0QAAAACAImA0AAAAAKAIGA0AAAAAKAJGA3gm9gt9tPPZTnsL7EHHJ8/Jx2vEXWb8cBS/AlvS8i61ALpNu8zrX6Dr3u8vwTanf5/3HwqMhqfCvPD2m69N+jm3F/ILQ8+fk0+oETahPhTFbyB6njEBPVHFt7pfNrNOrx/idtmv+ZUI/8lMibgD8nLaqAcqvKdTUq9LXI/2xYzUQyU9XDfJVyrB5wCj4ZnQT/HFzyX/MujxnB8xvvRdtq1+fwbV9/Ea+QS741dAJd3RJKgc67UchT+TCz2jNpwuNse3nuuOyBh0NgNdOu8/Y0l3xw6G0VfQQVnT/DSnfjSymt91ffN5Ne4sJvARYDQ8Eeo7Y9421S+3Gj4+RH0XenLyNKqvJx8FwGgoo89o6DNDP87bqxrnJ6ui2xHjF2FVNYd3QlIbD3NEkxPe09JmevWOqySpOXUUE/gIMBqeB9WZ5q9X0hs/+bn2Pj4+RH0XunOi36t+AtXXnY8SYDSU0WM08BD8hcVI9VQ126LPfhrtezSVbuR/3PrDcTmKv4rIFLpnURZGw1cCo+FpUDYDqQOpONxWskE1XLBFbrdN+Q8KvG0X9VivJo7r5d5OY/rb2W6nTcOvy9tEbuedel/CrkMu9qHW8OL1cdorm3AKP7bEiqYZomjDFy97juaroy8RLYlqcdXP43rtqS5/wXQ4bTb2oynYQ3XZL2uOotklnmfwy9x+BGVjNgl4xTCcNvPsSOnFbnFVnkvGl/923rbspxrN1yqkV14TrwJtoDEFWuhMV5PmtVTpFtRIh9SKlNHg+ee1bxehqw/b3o0YMzsXbj0lXtTIlpSQuqsx5ntNNv6umiC6u5rs+479wrZ4k7T+5bE8SN7W9aB8VyNtwCixGYbNzuWRVzDCFZZ+8zloK+N6Xqv1Dd//7XLcLGgPBnvhioh6munIib5NRWg16nA0fdl16rCfDIyGZ2H/UukGzDsboq575e0Ogdql7w6nMHUH3V6UVuWlwmG7s5qbe+asaet2e+KHKrnb0QrjYLI6UrjDQnnzzX7ae6WXINUy5awKI+5LOIQ912tKzSx6Tv54/Z8V53Q+X3GKHKPn56z0jknvdgzHIy0t5+Z20h86LnqeyGna+Xy1P+2XNqx6FzdWXOoLaPiy1znpi1mrvuWe5dJZSxsNRHqE6EmGAo0mdb3YqXRuR8rCeN42DZepLq7ggWIaX1Wglh8a04VWNblaCumtkV6phdHA/scvnIkLV4TfavTWya0NwVKE5akqSFoMmrikWKjgg7a/MWZ7jYy/oCb6ulqmSVhEMX40DwG0blC8Y6Lz2MTt+nbcLmejauLbgopdG1ei3cvVZnoKtxWzU8I0Fi8Pl1fSSawRtIby8sH5D9oS686xnu+47Vqv8XK1JUvodwCj4evQSuxz2hfZDFp7XMjgjzsvaVHfsFddzX0E01fCaOFm/bgnerGQvHbqUfV5Fly5e9OFHM7rkSpif8WR5hddD+9P2IO3h/tvNPOKpq9ZWU5/iTM8VKI1p1MBdo7GvOTtx0/Seoo5+qpRpcphWTR/rFVBnVbsiTnxldY3mZwcIXqSMSOA88CfbqKC5OAYC6ec0rUU01cjpVK7omArxms0esTy2je3d1c6u2YwnU6DjKlEAuMoQJQUT4O7Ai9pjNlek4i/vyZ6ulqmSTjiYvxwHnxY/MnqeHDTeNVw2qaPNohjEw6rGAfVqF5sTqHRQD9GnSLpaKC2FW55iCqSisVNQWkN5aLjIgmav2pdVnpK3mtqyn+qhH4JMBq+CG29Gj7YxFQr9ZRJkdWg+r7rB3po95cFecxy5jt1jcDcThMpLsppkD+OSMdbkLAjmbF4RTMhJ4czQvBH6Gi+PokR76B+CuNnBWMXVSk7noJwxFaDm/tR9MScz1lGFcqCJnqSyVaH7yKHFukiNWsHvTVSJrVLjPyHjUa3Gi8Sqmabr/1LNXs9k4FqOspxOeraPidLKtx5mq8yX7JE3jUy/oKaCBEBhEOIiO+jefDhOYBBNWm3p2vwTT+TRxuiYxMpbm/7VU2HJ/zliaR9kHTUZNvKHcXECThtqfSt13S451fTxY5PffxyYDR8DZHN0NWCCzBHLSM825mg7mOsBt42aT3QbymcrgjG+g4ixcUfIF446rFWcxck7GDPkQzxB3lKTnKzaV6Pq5ka8fhThmfcCdahCZyVIFW9hUPrQlV6xfvu7Ys5OQSncuKRGCH6kknJL6KROlO6GDd/i1qWVD78GimU2kYRWhyG6PNRJ6EHxP3LUFWMn/vjctR5ykiWVOhS1BiTeWdk/AU1ESICCIcQEd9H8+BDvuJum1myUH67DDYLr/rFnwSxMGH3DpCzMcmiDxDFFH1xhd9b5LJtebOH2uuTuljiNwGj4Wv4VKNBteGox/AYFFvy5Motf/9SBaef6TOhW4gO1aF2Zy1m05G5kyWIiife3Z4GtSbqFpILEnakFjRFF0/JSW7h/ADtKOOebj9lhIEj6dI3rKCo1FWd+KvlfTEnc5bKiUdihOhLJiW/iCYu0JSLcRPDQYpUPvwaKZTa+jAT4WEliHywC0mobQbdBcjp8FJ178KTJRW6JKtMlFQq74yMX+RAxNbT1WQMISK+j+bBJzmcJ11Ljk0Y4jOX+u/AVu1qism2IotebYRcNvV45DaLhjJ7ujP63jLQXsopf4zkq+AXAKPhi+B2bvlII1NtWPTA5CeEPeKsem1kKqu+FU3iRWRUx3XXqu5k5iRTiuu2b0dVpS1xtTvbm8UrSNihNUD4dUvpeUaTGyosyVlYItreRko05c8i9Y0HL37OX2+n5Tj6kOqJOan3Hlie6EkmJb+IRgwaCRfTwlKLSILeGimT2gnAY12YNnsJZte4Omavt4OxGbTyJ6cqtwtPI0sqdClqjLleI2JT9NVEf1cTDiGiHj+aBx8deTRBKCLTs/lCY2UQHYOtkKDuqTnkIiT/3csT5z/TajCsV3t9F5UoJgXpTpWRfbe1qbevdrXmHw6Mhq+DW39nJy9BNebEzBwNOHHD11ZD00yFqaztCRGPI6069KDvBkgxH6i6oL/TKqI/YQ+e7RRbkoK7aqWaCjcyqR1xXgSBhjDDTFbahKr30eGbRuiVvpgTVp4+ABCXuIWCRFXfl0xCfjHQSJ2ZGJC5JuJWlKavRgqldiKx/8As43XlehOoam3EtY21GXSpNS9t1afWZUlFLiWNMdNrFDL+npro72oyhhBZsx/MQwDFFdnKdBV66EZCpA02lVD4C2cx3L8d1324eSUmsZbFbcU6kc3hJ5tcK+RQVdPMYuHPq0mQw55K+PHAaPjmsBoI9pEzbDQIRcz+U4O0PsSmD9W9366n3XI2sQcGcynpPrnUx432y/l0EugJCjcLlXlAX8IB7Dla7Ah2ShljTHuxfuxxPN2nSWBzeNCNKSSu+uqgg4/vt7fjpp3W0ZHFDiNIpx6Xe3/MdBDUnTw9rObzqXJJq1cFq08VgmZMGq6DnmSE/KxB/XplY8XPom418am1+CSn0LOavhrpl1qIxBIZgS4HlkcoarPbxzdutDS99o4oKR2Zy2RBY8z0GoWIv68mertaIoYQfs0kaFEfy0NIeLaRIhupv1/9FtxxbEIXiT11fOGdkLGy4p4yeqHbXLjqZc07+ECkPRF53rZ1HZQbb5VsXs1R56aeqmVL0fH01huxF4PbrjnCzTMN8TfDbwJGw3eGdQrj31ATXP0TXV1DekX0B8ZdKsPLCBt7vCB1xYnBbgKi81Xnmx5hrL/rXk2qhlTj4JqcfMIJLupIl7mFZRRc6kPsmsFkuQmOfQV+zq9tPfZudiKhvfDush0Ou3J7or0CT9wIxCg/cRFpOmJWXI+rub05Se2m0sObf0FRyJVu+deX/Ngiyyfjy9+qOGW9JrPIVTqZ+xfkhHdq9RkNnTVC3CG18e/dhBXLY325bSaBU6aGLDJN38UF7myMsnQtIn7pN1ETnV3NjyHVwf34ghb1aB5S+LcocWTRrkCSItNO3m/nw1o9V2XCU7UmTiR4bUXcA5bClRtvfLblxuXqdbwx3SViOl7UxzN7MW6HP+6JLSW0vo/ktwKjAXyM6/5lrJ/VM9wuuxeayCzbyAD+Oaxkc6oegEJo2C2wPb4nyoBKTCGCEBgN4EPQOqycPOzZ4ge+FzAawGeQ+VT/zqimz5s71aW68UoJSACjAXwMuo9tON+YDd/vtwvfRDvyt1qBb43YUgDA/dDSqPyC+NYoo6Garbbrdiye6AZJYDSAj/K2Vy/s2GPlaqVztkytVIJvSWJtHYD7oS2Qqd0W3xm9pyPcNQS6gNEAAAAAgCJgNAAAAACgCBgNAAAAACgCRgMAAAAAioDRAAAAAIAiYDQAAAAAoAgYDeCZ2C/00c6nv4jIHnR8+pyAb4q7Ibq7jdGlzeZq526vf4Gue/C/BPTEO4HR8FSYF+B+8x0kP+f2Qn5e6CfkBHxXeETsamN0uxE/inZcjDu9Po6yS8ZF1z6J964up416rsJ7tSR+7kLxZh8qST580gN64j3AaHgmzJt+iZeyfxH02syP6OB9l22r34s0LQBpek1s1Zu+9ivkcljN6EW7kqZMRo6zGeiW+vBdTfWiZXR149umrown/aztnfdB9/VE4AGj4YlQE3fztql+udXwc4yGnpycV+MyTQtAhj6j4YvbmHp+cjiqZ1N+vLo3mfgJWZoGCd6/IoGDqHj61ZucoMmK+1Y4enoi8IHR8DyovjB/vVL7fq5HYT6Xn9PBu3Oi36vu17QA5OgzGugT+6va2Nt6PlvRSgG19N5kSt670r3ij7UIePp15j+OzoZFvZarGDm6eyIIgNHwNCibgZq17IBux9OgGi7YLrdbBv0HBdzK36Aa10t32bq/wfB22jT8Or1N5Hbeqfcl7LLiYh+uGXrx+rhemE04hR9bNa4X2/CTwXTwy2E118uYoznrJsP1uLbiqp/H9drTRPQr51ctgG7ss962HFXGL/tlzVE0u8TzDH6Z20+hbMwmAa8YhtNmnlXoXuwWV+W5ZHz5aXcb+alG87UK6ZXXxKtAG2hMgRY609Wkee3R8Q7Kl21vw9H0ZWdrON92HhLXhL2jQeUlUHTJ7vA7iC9ZGzXO7tab72a5+ElWWTge3bnrMhre1jP3YoxOm/Dal9gikO0jLt4EUmcloC2QJTbDsNk5gXatkjJcr6DkOmXq7Ym3y3HjGkY1tuXud03T86Uy6NZAzw2Mhmdh/1Lp9simdTT7pt51jds9GdzOYtD9bXtRQ8xl26jXKdudHdZYvcyatm63J36oknv5gXYJTVZHCndYKG9+J73uVFSTJW1Pup03syqMuC/hEPZcryk1s4Y5+eOpG1ZA0/l8xSlyjJ6fs1oINenpNU5bMFpazs3tpL9bXPQ8kdO08/lqf9ovbdgjzXmGek99pg1f9jonfTHrb6TlnuXSWetQbWlN25MMBRpN6nqxU+ncjpSF8bxtGi5TXVz+XjNeSVaBWn5oTBda1eRqyee2az2BOHojdV/beUzcexpUtwRdssfo+pvO54FkwQdtf+vNdrM4/tvlVa1EDuq2nenC4cr2h9Xu3PUYDQrZxrh9jV84yQt3gbB4c30kj0xG0nls4nZ9O26Xs1E1iXY58q6HKOrjkorFTUeE9PbEyyspMW5hWqV5Fc3h9Yva1m3sdlJ0aqCnB0bD18HmrmzRD0E2g1YGl3UdKyuj+H2FoowL9xH8pgKNFm4vBNseXiwkb9VsuUuqLsyCK3dvEwWHc3kiafx1R+6xrekj/Ql7kOII3mjmFUt/0GA5/YXO8FCJ1pOuR9s5GvOStx8/SevpWa1QTPZUqXJYFs0fvFRQp+R6YqZiCHUiz6LmlUlS0/YkYwYl54G1qqigxNASCaec0rUUwkOIE1PVhpG6p+08JO5dDapHgi7ZBWzgeAnHFVjSerPdLBE/fUT71SJy2p27R4wGth89IfQWAV+zZPtIFpGMRBybcFhNOqhG9WJzklMpUdRJR0NBT6Tw3ooHqzT3O1drEIUqBCN9pwZ6fmA0fBHaGDVk2m8pqpF6uqHIalDqyDVrPbT7k3jcU+zgzl0zsJ7TRAqAchrkjyPS8RYk7EhmjJZdvRgScnI4IwQvJozm65MYRg7qpzB+XtW1HyWUHW8YccRWg5v7UfTEnM9ZXpmkNG1PMtnq6B5IpItUlFm4XKrpYtf/HHpalrvEvatBScLo75E9bNdEWIH5OvbFTTTf4JfOahGFEyF+l1GExAGofYWlK7cI5PtIjjgZSXRsIsXtbb+q6fCEtzyRtA+Sjpp8LeVLSZYiZcipV6WgPWXQoYF+ADAavobIZsg14ELMUcuIYPOP6fDGauBtk9YD/ZbCqS+hszJECoA/Db1wpGOsiVOQsIM9RzLEnwEpOcnNpnk96kNe9GXCM+4EK4wETgPKUczCoXWhKjXhfX31xZwcglM58Uho2r5kUvKLaKQKlC5W8eameH3UHnm99jtJnqK3pGW5S9y7GpQkjr5c9kR1hS5FrTcRS/YXWS2x9DHidxlFSBQgtL4N8W5JWWl9CLlilIfwmEQGXiaMZ9aiqNkx1o/MIz0xUYrBJ1r4gdalgX4CMBq+hk81GlSTjA5ZcsuPDXNy5Ya8f6mCw8w009ktREfHUZutFrPpyFyxEqpdVjR2T4NaIHQ7KQoSdvB8rFC7YY9NyUlu4bcPbRDj8cB+mQgDR9KlENl4o1JXdeIy2R9zMmepnHgkNG1fMin5RTRxgaZcjFs8nZWFNo5NWVEGyXe2nQfEvatBEd0SdMkeIqsrdEnWsShaGUv2FxFWFk5f7mQUIVGEyR0CsadEpfURxxBRcmzCEJ+5JIsmmmai5KL5EkOylkTRU5tYNvV4ZHczRmE8ZRt9oBlSGugnAKPhi4ishnx/6Uc1SdGhkl81vC44Xp5UJwy3FJE2yHQjjew4xHXXqt7Rbk9X7hZSAdz27aiq9Pea2jDuWdYFCTu0zgq/bik9z2iiv8PBLDnlSOjNY0YA0hgpf5ZOhWiPhJ+W4+i7qCfm5BDcMykqC7o3mZT8Iho5kEgX08LK5vwd4e7A/rZzv7h3NagCCRypnY0+soOELkWtNxFL9hdZLZH0/bmTUYTEAXhIDWud4/C+22Wl9REnE1JybMIS9yT+Oyh1rojEMK6IwxNRTzz/mVaDYb3av3EUyVIkZatqdv9SdQgfaaAfAIyGr4M6ykctBm6bicuc2MCOtQFbDU0zFV1G2xMiHofQWYTW0W6AFJutVI/yN39F9CfskbiXheYBh4toUTgokXBf0q4JIgg6PPucvWal7VGIOnzTCDXRF3PCyuu74peCRFXfl0xCfqGwpQoUw4KpibgVJTivJoH95CXX33YeEfeeBtUjQYfsCWQHiVxKWm8cxkP8Euc8FrAndwoZRUicY7On2CsU3vdRb9woKyutjziZAIoufWxChQt/4Sz6vU+UOgmcP/nT3xPJcvKTTS5pmHSaWSx8lwb6AcBo+OZwgwt2MzNsNIjhg/2ndKo+SqUP1b3frqfdcjaxBwZzKelVzqU+lLZfzqcT2s1u1AqFm3kqJaYv4QD2HC12hJN72hjTXqwfeyhMKygS2Jx3coMfias+Iug41Pvt7bhpp3V0ZLHDCNKpx+XeHzMdw3IHBQ+r+XyqXNLaUsEKXIWg75WG66AnGSE/63y/XllF+lnUrcZc12sO2sUnOZOKj+Uxx8v4a13r9N6285i4dzSoHgk6ZJfIDqJP9rmxsKD1yljyv4icR4XTk7tkFCHXjRqCAxuBxTBN4XLglhCM96LS+rhQMqlO031sQqdkD0deeCdkpN343GxV/1H3lXChdy4H9PZE3g3avJoTmU09VasMoqfqHUZiL0a3Bnp6YDR8Z7jHM94VTeHVP/4PRq+I5s24W2N4GWFjN/embiwx2K1i1XCqFLUeYay/617NkYZU4+C6pXzCCS4H72qZkXx9ZtcMJsuNuzslvn7m/NrWY+9eFRLaC++uyuGwK7dz3ivwqFgdyk9cRJqOmBXX42pub05Se+60AWIv5BJc9wsqerqzxxZZPhlf/lbFKes1mUWu0snclXt8p1beaLgd/rj3hAbVcKzvzyC6286j4t7ToDol6JQ9wJeMe5d/oU8gWUfrlflL/cLxi5ynAnfmTpZvSBChlwW64svefBS3BCFXB2/r2cjbbEHxjUajoLlTfKmGpbidD2v1XJWrofS2Qq899N71VdATvd+5SZjfowxn9mL0aaAnB0YD+BjX/ct4MFn6dx/eLruXsVJcP2YV76fDY01OcwPwVdCwm7HBvz/K7EpPn/xkYDSAD0HLqnKxsmeLH/hewGgA/4TMp/p3RvUVPt2rbuFNrAP/eGA0gI9BNxQO5xuzf/v9duHLcUf+7i/wrelZ+QbgS6C1VPnJ8a1RRkM1W23X7Th+ovuXAKMBfJS3vXowxy1cVqPpbPmjFvF+NvcsUgPwedAWyMz+q2+L3gkSbjP6VcBoAAAAAEARMBoAAAAAUASMBgAAAAAUAaMBAAAAAEXAaAAAAABAETAaAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAAAAQBEwGgAAAABQBIwGAAAAABQBowEAAAAARcBoAAAAAEARMBoAAAAAUASMBgAAAAAUAaMBAAAAAEXAaAAAAABAETAaAAAAAFAEjAYAAAAAFAGjAQAAAABFwGgAAAAAQBEwGgAAAABQBIwGAAAAABQBowEAAAAARcBoAAAAAEARMBoAAAAAUASMBgAAAAAUAaMBAAAAAEXAaAAAAABAETAaAAAAAFAEjAYAAAAAFAGj4ZuyawZEs4t/6eO8mlDIyeoc//R5/JVEAAAAfC9gNETsXyoerUOq0bhebE6X2PuXAaMBAADAdwNGg+C6mRlTgUfs22W/5CFyUNWbt9j/1/DJRoOO7v7YMgGTiQAAAPjZwGiQmPHaHyqPyxE7VS+H0PdT8PaHx/h47O/l4YAAAAB+HjAaJCmj4fZqph/q9d9bo/gszLzA3WP/wwEBAAD8QGA0SLqNBnLbL4Z260Oze7+dNs2EHaZru35xOayb6Uj7q8b1Ynu+2UTYx2mzqMcmqmo4ms42pzB2M//vhKLJjutxNR+Tp2o8Xx2vOsK3de22ZLD0gVP02/vtctyu2npspRxO263OQDZgIhHD237lZXkY5TnO1+WwmpPnauTlAQAAwHcFRoMkZTTY/ZH1Rk80HBd6waJZmc9xhRnk9Tf6sNle3t9vJ70pwt8CcP4zpTgnq9Pt/XZcjDk2TtLGbkPYOAaTxarVvxomf2y8bkuGkz49YfC2nnJgJcD77WQ8jZen7oDpRLx9Diq+y7YZ0p+jdufsAZuv+Z/NnH/XVC97EVOcLAAAgH8KjAZJbDTcztuWR/Rq6gZnO7Bpw+CybZQNwIP8ackB7LzDZV2z5/krf3mb4HasPK8oiB4mbeyemeHkmiz3F39cDrZaWG99RgO7usHayjj5Y2ZL0gGTiZgsu/iMUZK0QgbD+UZNQly52JQvl9NssgAAAP4lMBok3kqAgWbawxOXqWHdYLZNJoZy7WRDZ7ZIpGJ3A/XWONlx3hvo5XheOgibkC7NbECRiN0p6gRxbs4esBE6JxFVR7IAAAD+JTAaJPFMQ5rUsG5ImB0WjjMxUgakYk+F2bXazflLeOsYhG/n3Woxm47MRoQwrmxAkYhwCKYVrGMiX6mQAAAAviMwGiSfZzQkftLYNB6aaUiMy52DcGbsP69nNBUwnK+Pb7eU2JmAiUSEA4wGAAD4ccBokHzcaDiYbZMzvYNBYH34+/88UrGnRlc70+BSSnhzsbm1g8QmhA6jwQ/oe7WJ2Ax5AidCJ/IlogIAAPBNgdEg+bjR4A5bDOeb05WG89vbfjUbTY1nl4je1Uj7LSczvXMyFbsbXe2eBrvX0DvpmRiE3daH2ev1/XbetKuD9Wd3F8gTG+mA6URsls1WT3dM1RMukS8ZVX6CAwAAwL8ERoPAXcmQnyjwh9jR8hj/9v7+9hoeKNRMlvY6gvOaT1wGjFp1ECMTu2dn8CFJe3rCt1vcaUhPemtcaIbN7mpmGgaD8axt29lkNJ+zL2/2IxUwk8h1Z6RZHukIZ+KYqcuXNVVccbuoYDQAAMC3BEZDRPRgVVW7r2SP8OKjtKfwbqfRtFkfou0L6nIjc7WTf/lTJnZrNFRD7/6k+XLvJR6K74/+25avn/IuUnJuw2mzOd3cHoRquLAHJ2XAbCKXw7r1LquK8xzlq93HRomJCkYDAAB8S2A0PA+JeXwAAADg7wGj4XmA0QAAAOCfAqMhwMyTg29EXEkAAAD+EdDIAfF4Bb4BcSUBAAD4R0AjAwAAAKAIGA0AAAAAKAJGAwAAAACKgNEAAAAAgCJgNAAAAACgCBgNAAAAACgCRsP3Yb/QFzB/p8ub1DNa9jLsbsHsLdGpJ7yeFFsnPyhPEne/d3cNgw9wR08CJajb7DOPBIOvBEbDt4IfXfg+GkXJUzXqEa3bcTHuF4wfsnqWAZau2OwVlp/H6PX27PCDIr01DB7j3p70t/ibGudyWNXDVFLuKb6YfLe7vc4Hg/Hy5BzOu1Vbj+2zPN5jPh7X47qZ8ocA+Ug8GgR6gNHwvaDuk+pX/wQlTfXCj2GXcV6Nu3r690IaDdsmIb309uQkc/k3R48HScr9HNzfk/4Sf6na1TQLv3uXSiprNPhGQQiZ8t7Pu1b5nyz3F2Un3C57fmM3ekrwoB7ZnSzVK3r6jeBq/mreHQaFwGj4Xnwro+EBC4B00H1BvhHpDP80oyGdy780enyAtNxPwROL/nGux9VsNJzMZmM1jCda2NufyWCyPIWzAmrma/4qZgo0ZDNMPYtAdVL/bzYxw+ROy3FgaNBkBVY47gZGw/fiWxkN1O3uU3VPbTTwuCmk/2FGQyaX395oyMj9FDzQk34Kt93LtKVVgGwLO68mcdm8reuu0ZyG/7xJQfD0ReuSOy5Hg8FoefT8UL18yxmg7wyMhhB/Mx/tXKLlr2o0Xx3tLBav/vrtP+HibWq8HFbzMa+iTRb7q94SZSJeB73FGA1emCBt5m27qPlXtTC33F/MD36yt9Om4RnBuEdavHjiFb639UxHpUl0doW3RqiimNdq/i9IT601NmYHWDWcUhEobKkNBpWZRnRuxolkNKJUw9H0ZWeza3Ab+VxMWkk5JeE8KW0U79r0orDon4zRcD26emQ1mOLRmld01EdvzfqLtcNps4k+3JiOXFqV/pZu9Yrb5bhxtVGNvSyUdBxJR4QBGbl7CqU3dqof27ZG09nGzYYXlach6AXDabP2Mt3bk1wutrfLYa1zUY3qpekp0Sbjy35Zc39yUfWJm8yq2HptkxlTLS50MtWkeU1XzD1kjQbJ4WWY11paS3TbDNdtU4WaSM1nqPUKX3s8syH674DRIKFBYjSp68VOLZDdTtSyAnv0qNbGgvYvXXSDnM7n66OK5vKqmvGgbttZEHGwbscD1HQ+X6l1N7PwNpj8cc2a4h02W1q849+H7c52IE521rR1uz2dNvNhrlNwPDUJ9347k88gof5P7OuOUp9vaMORXUj0gtAi4mCyokQuh0VYktyzlYZycbL1P+OVxtuuJflZRs5sWiDerujHxAUReFezxENXjyJ/wsG5VuNpw3Wiq6TeCNvF8FDN99dHR81yRZhy4tiDqvRJ55JjH01mLW0f05EMF7a0Lq+zyja823mj/gp1cEHH8emPMCQpd7ZQemM/r6c0rHDT5Eo1/feu8mTP4xfOtO4EfpfMiO6hN9vKfu8HoUjGTTufr/YnTkXL2yduR1blSE4jsqpFbgjvtyNXY+NnyIc/6Ttyp5FJZVDTDF02QeexidvldFi3k2o0jXY58q6HMPnbq9q47U9HgH5gNEi0Htq4jwUxuyjbv3TROnThpsO42Xorb9xmfU3GA5TfIczCm9a81KH8SEUcHEWzZfGVOkr1Z1ZTfiY5Ib+z9qk69T0Q9d64pFQU3owgC+v9TvOMQRRKMDuasp503pWMGYE4Q83W/H1eTUbT6cgvGpW6P1BTnZUaDZ6MtELdpf0eqPni+kjVLFWEH5ZmYnOjdTqX3ID9ZeGoLsnDzElDaST6QGfH8emPMCQtd65QemLn0vWyS/71z3eVJw+yXmVzow5aWlp0D9HGrJNLk4vXxqLSZXl7xO3MKicjazHYH8BOOXuOYujMHZNQkUlUdrI2QeLYhINTIKpJs9qHRgOJGSWfdATdwGiQiLFE7mOS7V+65Lqj7yKUCYexI5/ioswE44n+CLUXD2HOWE5EIeFIIzUQr/AJ6UIOSltGmlSUVISIksrEUxFK4TqFxUNpNV3s5OGpGG016HJ4W09HyyOJaEYONVBLXShKX0gvXLnwOjTN/TVfXh+JmqVchmF5tP6TXEMR+SGkiBSt8GeRAUR59jaHABlhSFruXKHEhLHrTpUuoLvKM9sLhCEvRPdIeBAGNuUgnJUjesTtzGpRWxUW12OkIpZcVbbDLY0B8bGJBLfradvSrkvRuePkk46gGxgNkpTui1xk+5cuJd1R6AoRxrjpz3VSECmc2kxFIeB4Il/xF7SQLkAoNYUoqQgZJY/15nt6/1KFHxlv5qiW+nZY09xtDkpbq++39ZQUi1cYSl7vyzMlrJQu7dpXxOL33povrw+ZLI8KCRIDjELmRyFFFMUTUhJAunQgIwxJy50pFEEYe9coeFd5Bia9JZ5hSYvukfJAbt7XQKYw+8Ttymqq/FLVwG5Zw6OMVMSCY88WR4qkw6awkPHhG1NcnFHy5BhujgR9wGiQyM4pXGT7ly4l3VHoChHGuGkNQPPcUnH4pKIQpBb4hHxCugDeWBT9LEqKN0IuZtPRyG4Hi36n3k16Qs08Jj4iaEObWmkQYUMocbIajM3AkZOT0q2RMhLCpjMsXfuKWPwel6yItLw+ZLJcEdI9h8yPIk4sUTxUEcumHo/MDTp9AaRLSE+EIWm5M4Wi6Ig9Wd6au8oz2QuEqPHfgpQHcvPmMDKF2SduV1ZT5ScbgnHLrU8Ukoo4gkZ6b9eRoOTYhCE6c8kmeGj4fEq+fh0wGiSycwoX2f6lS0l3FLqCHMJGHMxck4bILK5qRLIptK4LPx0opGd2C+lCYqWmiOajr7t2NBiM2+3pyv08FSWvuc5eb2rSoUMhmB2I+S5OKmW0PF7WtbE9yGpgJ7FOKqo1JV3Kta+Ixe+9NV9eH4lkaVjoKJYImR+FFDEqnvOfaTUY1qv9G9dQb4Cki0d/hCFpuXOF0h07/xVOPFnuKk8ek8OtdCL2tOgeCQ9iWSFXmD3iCmFCRPmlqoEnwj64XzAVcQhNM3RNIxQcm3DE+on+DjNBRZf4TAFdwGiQyM4pXMQ+ttQtvAXdUeiKeJwQ25j0BSUd82ki2SS8WSvooJQFb7u8lC4kMTOrd4EbJ23iuLE6uaShU542zTga18+rSeDSI5Apnba1NoOWcvLyMpWmlqhW0o1islKm2lfE4vf+mi+uj0SyxurqONvok86lFDEsHtKvvnxy2luUZ8LFURBhSFruTKH0xd6V2F3lmbghiHuBf7wmrm1Brt937tvV9InbldVE+SWMDG6cpYN1DtnCQnhBoSsVJasw/QkVd/QLZ9uLTtYU9bBEiYJOYDRIqBv5u5H1wRy/uXM3miz4EN5hOZ/X1NW8LczcR/xt1WxYeH5YuwTb7CltfdOpPXnnn9/SB7z0eSi16We3nE1e9saDTDYNx2NSMgk1O5cBfkgi3UkJPhBpj3qdt21dT2jftg6izYqlPjG5X86nwe8WvVUj/sigvJjTpfoYWvd3AWsKqWuT4biwvU10rFZUgnRyrSHBZSVxInllI6ugoOb760NGG/6kPquppN5vb8dNO60zZwSTuZQiRq2eN/w1r1wX501TT9VmE7/KSjqOoyDCkKTcuULpjZ2OIdnjwmoRbVHbErurPFkEE9PlQIchg9bR25Ncv9fXIMt+nyheS4+4XVll4RNHleOD1N4RTt1vTK3yn/nuoLkdXlS3yX7w0DRDopdaOo5NRHVAumis/n4NGtOZ5vNGL3SxDVdUr9hAAKMhwr9xqKVO7rt43f68ntubT9RdLrrb68uF/NtoWFH50ZAf34uNeNcMJsvN2r8MKbgphnB3BvEdQJuT+aZJxplF3SRjr6QZxVfSeDFFN7h72H2K1Yjeh9Eax7uayfw+nCo7x/4eCZdeq7wd/symdi9ENRzrY+wd0IAeahZyEmNRulqv+wXJS5dQXVL1yMM9h0uViwxRVvP31EeiZt2FStxoVl3nTeJcplp9Gyen7rbSLZ7rIWzxiSiSJezoiTBBLHdXoRTEbq+xSjxvdFd50j1I5ra1YfQOUlFP4pmGeu5iifq9aEQhfeKms+qJ5iLlLjqZ+3e2hVce3Gk07BejkbetRMU4Go1mUSbE1FAMdbxsKpfTVj1X5V1fldw27ZVT8g4sUACMBvAdOLwMs58gAPx0aOCdrM7/+Z/v//Ef7//5n/Hvf9GdjQZtEnT7/5vQZ0WXUQH+FjAawL9i17hTYeOONVkAfjo80zA//9d/qb/+67/e//u/3Y///d/K5W+5O6Oh1/9fJD0VCf4FMBrAv0IpysnLZrOsh/ETtgD8Dv73/37/X/9Lr3n9v/8/bq7tv/9bub+/q/9HA/YXu+//j/+X2jrx//3/Ffn/S9DqTHpvDPjbwGgA/wq9TKseEsLSIvi1/F//Z/3/sKv93s6M//zP9//5P9NLA1/m7m2d+H/GhnzK/9+BtkDGm1bAvwJGAwAAAACKgNEAAAAAgCJgNAAAAACgCBgNAAAAACgCRgMAAAAAioDRAAAAAIAiYDT8Q/YLfetp9nJUwNDtr+Ym2uC49rcqQ3tgDSfKwftxMUI7AD8PGA3/luhZSJBC3VFX8TtFx8VYjMiyDM2lvIG3TyC4YTfNcdH1pOC/5LFCeSxUGV8Z9/1cDqt62F9xmTagX7aIEN4Mae8KWx7mmZYE2WgB+HpgNEjOq/FD/XKrbji8VwV+L8X5yTxUIgJVRPJdaw9RhsLhk8gMGAEqzz1e/g2PFYoI9VjvSLYEEfe/Qk1k8btqfRkzI7nwl7YC2tibIe09eIw1bzTgNmXwL4HRIHlQ7ZM2vVsFfhvF+QU8ViIx/bF8qzIkYe5vPU/DQ72jvw7/GdfjajYaTmYz9dZ9T8bOfybVdKrmtYQ/Ve3CMcvbn8lgsozuQVWLW549sGv19JqHmlTLPA4NwF8CRkPMdduob45yBaDRL8reqxi/1YD3uTxYIjE0SnXG8q3K8GcbDY/1jk9qCV/Abfcybend5/5ZJGUy1Ot92t99RsN5NYlL421dhzcl7xoR4eFliIcewb8GRkOA3Vbn4Xru23Zh3rsPH5n33qW3GKVwuxw3C/vQu3poIVAWfQNePrhNdLI6u2fiqxH7uBxWc5a1miz28QOS1+O60c/K07vy66PzIXfzCZds0isTT1eJxHQI87aehRUSq1EiKENftsDX5eAlM2nWm+XERCfDSBfXNiIZvFahpJ8nxxTCRjqmYlvUvLWzmjSvTlQ/mdtp0/C0uRPDKy2V3CZ+toMq3hRaNZrONqdUdlwy25sqGU6mGtVL11jiUF2943berRqzV7UaTm2by7SEOG5DR2MoaHYfoM9oUIO6kjXj7z6jQaLsgbjFRpBZ0ewySxPZwulSBw8FAr8cGA2CjFYg52G9PqpOeztv5kPV1/64bp4a/i+vs2owGDbby40Cqb8G9dqbc0yFsvQGp9CjSV0vduTluFSyj+dt07Cgl22j5AxWQa875TZ+4SCXPYUZtp42krv5pEuc9ImKLdh70Jk3Tb8w/bEIH8LBfOsu9yqZ99tRLE1fN7MojHRJNI0oXt0sZOuxkAGmiq3dnj1RgsGAI501bd1uTyeKUovBpTVZcSPkIvfb4Hk9rezvuu6NLKJQ9AbS6Xy+OqgmddMBgizHoWQRqBGPWodJ9rAobAnCtb8xFDQ7vRcgXwVpkhmzqAF7vFSPUGb8fcxoUNH3bVVQZkXP0kRcOEXq4KFA4BcDo0GQ1AqsYGcbZ27Ty2t+VxIq0MQ1c73tuEyOvUKdanqD6+HFiaUWS8MH4SiMr1R52Fq4V3j5rXpfIckiyLn4JSLWETrzxhQI0x+L8EGyeQ6kk8OJXVGUIpKECzu5QIl4afU+bj0eXGxREOUkbMGq2XLZqrbHYqhxIyjysHK5SXpxU8xGlrhQTDLB44HaKRqC+4wGFWpEQypxe43NrURRJuIuaAwFzY59xCL2ksyY5vo6Gwx1oWT8qRxO5m6uRU1EklVYgqrXnkccqan1LU2IwilQB48FAr8YGA2ClFa40OgQTBFobeW6Uloxhsi4S0JZRPBY7Sbii8MclGaOFACPdC57cZisS5C02O0mZBGUCNMfi/ARyca1N/nja1we2D5mNORbhRhTLLIgcwZMs/X9KKi0wuR4xOScpbLpISsskUEx3sehUvILRMTCgYjiLmkMcZhUs3uMfMaUyeBmgjL+zpt6Uq/0hNNlv6rFnE0WFX+fPXBcjvvMimThiIKX4j8UCPxiYDQIUj2E9Fnca6KPStHVEsi4S0JZRPD7O7weWaIEo681kU7OJdLekYuQJaZImN5YpI9IEjEoK8LxPxFJwiUKVBRvhCxI4+aN9uk4uLQSjFnGpDgOUT2pDLKbd1QwDpWSXyAiFg5EGHdRYxDypFweIpcx2vo5e7Xf4dafujMkn6yYiMyi7IEef2RW9CxNKGRRiIKX2XwoEPjFwGgQpHrIrlUaIOo1kUfR1Ri1k3HZ1OORudAwjCcTytId/P4Oz3OPcYJRKFkEGZdu7S1kiSkSpjcW6SOSJFl78cAsIkm4RIGK4o2QBWncvM/pdBxcWsLZkhTHIaonlUF28z7341Ap+RVqI+RiNh2N7F7J/pYQxl3UGIQ8KZeHyGSMnXPI2SALB+yVi+wBs/SRgcyKunsqgpBFERdfIpsPBQK/GBgNglQP0QotnPmlvuWWckVXU3H9mVaDYb3av/GHhIw7FcrSG/yBDs9DS3jrDPtxmyfiMFmXbu0tZBGUCFMQS+wjkoRj7FlGEJEkXKLRvCjeCFmQZh7LK4UwGeesSitKziMuuAhRPakMiiWOOFRK/uuuHQ0G43Z7unLaImLhQERxlzSGOEzS5SFSGUtxn78+ucge6F6aILOif2lCIYtCFLwU/6FA4BcDo0HAejPSvbwjK+jdtG1ruLDfCKT6ve1gRg36geQMsuigHv3BH+jwPG8aKCHe5Vlv7GjEK9v+8MSnLrt1jXBJlEhEiTAiRwLhI5aER+VgClhkSGz2krdTi9E8sWol4o0Qo6BpW750GaOBS8ubKo8QzSMgLhSdTFA/nILYeOiFSvQOsqj9OhQbIzItIYq7pDHEYZIuDxH3kxxJf6okw6HfZKZzCoHsgZ6lCTIrCpYmFLIo0l2jpyMXBAK/GBgNElbik5U6AX/Ztu2rUll8GmwwWfLpND5bN2x28XEKdT6SToI1y+ONt3Y1r+Y8XlNP1Xl4T72wVgx2jDv6g1P3DnY+i/h4FPO3m7MKGM43tLv7cqAjVqHW1UWwoMxeDsv5vKaxzotFJM1Dha9aEiVifzP0CsMnH7u+tGSeWTZv7vhMM0X67CqdP59PIz2otfyMBKHCntWjqGpYWL2FgBwy8ea/HTkKm2FzrtA/N6n9pBoF/aKmnii999vbcdNOaxuWT3OYuNWSwaK2v4pC0S7xgdHEEUc/lOwdenaCa1dlaD6dkAHmmxGpliDi7m0MJc1Ol/CdQ9zt8KIsLj5W2QUfPvZ7gpXKFuT1uFYbIX31oPMaCFVgD5SYFQ5ROLJrSHXwUCDwi4HRkOK8ntMWAnWXkrs8J7gdaBTeO0Nc9wu6I4futqGPo+txxTGpqNRpeK2nK1qh9O+9SQ4z3cHtnUuDQdUqBe3Hxyrb9+ItitLNQvZCIv+aKospAroH6XgNU5ZJBy5utJAlIukSJshRclVXlmFGEleUk2ZtijJQ4kZYdcWREkKPPiYWLyVPlHS8KieLpJnDkarDeaYlRcUvKzHAXcHDlx+tduHBvjfvZ+/YX7JQSNRRPffvpgoadTJUone8macbquFU3T8RlZxCtIR03F2NobDZ3Wk07BejkbdhSEU0Go1mqbaW7U/v19N21dZjEw1Jvjn56iFhNIiJRImYxOlAFI5sSVL8hwKB3w2MBvA7kUbDX+E7zfRSEXx8Yh8A8IuA0QB+JzAaYDQAAO4GRgP4lehlgr8+Yn6j5WG5dg0AAD3AaAC/D+/lpb+6TPuNlofl2jUAAPQDowEAAAAARcBoAAAAAEARMBoAAAAAUASMBgAAAAAUAaMBAAAAAEXAaAAAAABAETAawK+GrmU21/9+jzuXfjk/sEaum9nfvxEEgK8BRgP4xagrnip+Rum4GH+fIeqxeyO/8obHr4zb5zvUiDJbxvm8vtnnMcRjHQrz8EZIPjrzqo19uIKfmQm5nXfB4xbxqxwA/DVgNIBnZNv06OEi1EjY83rxv+GzjIbzanx/NMlAMu4v4Z/XyOWwmqlnLHN5fdvUlXmH83bkV0/DlzEzRsOf3Bh//jOtvBcy+dnT4P1cftoqfo00eo4UgL8EjAbwhNC4llHr5XxOLN8ZZVuJ8b+PhwJ9Dv+2RtRjncNRPZuqITkpBT/x7b1UzQ+FB09VKqMhGTjJZaPeFQ/fuqRI/Ws6lSk1e/WsCPMeuPfOOQB/CRgN4Pn4pIcjaHT8cCzfl+u2UdPZ943/DwX6LP5ljbyt57MVrTVkZ1V4rJ45m0GbOYN67dYT7jMaKMfjyPtxOeqZcOGXtv1kAfhLwGhIoBYQ7RpjNZwu9trIT7wd4N3h730buGVPtfy43Ju+bR89aHbvt9OmmdBfVsXcLsfNoh5rP9V4vg6ViRetj1PwuXQTdKRl8zRZnWlbGnmqRuzlcljN9ZLuxJaM4XpcN+xdrvja0rPyJly8AvITau0Krv9ogiGjo7uEeVvP7PsTRDxKOkm2N7XmzFVVjeqly7NfUO+X/bLmNuOi8iRQAmxO4Xwy5dCIUY2ms80pKgPCJjOm+ljoZKpJ85qsM3Lw3tew6AjzVZ8OJOI2+O0xWmbPtiEelxPka6SrHnt61ENkjQZaJogGcx6+vdZzl9Hw9idl/rJR3GESsPUyXqrmIsl1IuqtskN/IBD4jcBoiDks1JLmZHVU+v1yWKju6+mJI81Hhr1cfS0MX/ZmQKAuP2y2tAB52TbDYPmRFcKsaet2ezrR6iTHdnmdVTbc7bxRf/mK47pTMU2WtElK/x4sa3anG9CXltaFo0ldL3bk56hWWgfjeds0ay4aSsCfqtUSjl84BC/OhiIcqXD98Vm66GmE6XweJCSli1VtSL8wvbHwM5BKEt6ZdtOiBEEoknHTzuer/YlT0bnRFcYt6XbibP2xQc9rWsvWDY1jNuUg9zSQfaXqo92q5XSznl41XoZEfmQ0BVWfCpSIWze3mivJrLN7+ZNtiIug6wtaplJQj9kepQf0jhpOk5CCSI7wNCvgb1m4y2h4P5Dd7PciO32Rj0T3dH/bQ0TUiW6XV5o/qtt2FlRGYHc8FAj8OmA0xCiNMXJbm9im9/ovjyR+L1dqwy1Kvq3r8L1hjsGpZVJJVbPlHq+i49ipy3pTn6yNrPK+qHj9hU7+vTW/96br05OW08TuCWfWmEIAbwjgcc1/aZlXfD0dIwck6aLHGi8e1qG+n5xadxQI0x8LV1XwBqR2cuOe1rQmFpUuS3p4GYZvYAflxavj3lo2xWPzSMnIchKL50EFk0Of0dBb9alAMm7uBn72OEd+zxBtqHf5QdZIcT0metRnGw1RVWcclcOonpuZHJoaEachHGfqV3prJc1yLnknZpyQJa6KJKIT8WZKrwEl9MNDgcBvA0ZDH0KDxFbD/qXyxhU9tvsfUzzm2dGdx4P+LUyR8paqIhhY+tPtQg4UmeQ6hiT6Zoo+I+MV30w6CaMhcBFb84QsMSXC9MeS8CCMSMpAvChtJAi1Kw+Z9E1K1dWxpV6UQaKcxHgv6iwVKEb4EQ7O1cXN8keDB+XPK3QhT+9GR1Hg5fVY0KNKEVJouGSiH4Tj7bCYTPR8EJ/eVEZBx7TA9WgWA5SFMVtuz1saq+MqIM7rejgYv8TLgoKCBiSz+VAg8NuA0dCH7CWsMLXVoL6v/K8enm5MYJWa6JkZog7LX/qBch97cyL96XYhlYNU+KIgwkB6GIzUSfRpmUknLA5ZQMJFyBJRJExvLEkP5OaZYrKgCJYgAdsX8XgfI3KcKCczXlnLQ4iSChQj/AgH5+ri5uYWeYpnhIQ8CZeQuMDvqMdY4A8QS2HQ5R3+wI7B5sgIOTXSg14GkRYlLdUUWAypMpHVKrP5UCDw24DRkEBthFzMpqOR3ZgV9hL+2iSrQU076C2RDE3odXYq0TMdaofasqnHI3OJi++R1h+8PQ1q7dYl3Z9uRGdaKfUu1EWoUZILvnEgqYSkS6KAhIuQJaJIGPG3IOWB3Do/pwlh44XwvG/2Z5njRDlpt2geJ19Dlu6qTweK4k7KH4cU8iRcQuICv6MeY4E/QBy/hayVaO4ubg8JyEu5gGIyi7nu2lHnjEWAKJO4clLZfCgQ+G3AaIigrjkYt9vTlb8dUr3EHtc+LcfhkjeruU4dInqmhi55Gdar/RsnLDvsbd+OqkpPZKrN6jwFSvSn69OfllTvoiCiQDyOhBqVvbjPsEw6YXHIAhIuQpaYEmEKYpEexLqCLCiGJMgu/gpZIkSOE+WkP/c7Jj1SgXqrXjg4Vxd38mOYhPb2Awl5Ei4hosDL6zEW+AMIKQyccpBrLohoI2MExVcsICcSx0hbH4LPk25Emchqldl8KBD4bcBoCNFjr7MD0mY/Ww2zpqnErCNNRkaXxAWInqmdlXr0N7rFM9iqA/ubyiJ60/XoTSul3oW6iDQKl0lgQ/H2j3pjR065j4pPXQbFIQtIuNBw6Q1PghJhZI5i4lHQxOtXuiwoRjcR/0oeH1niASLHYqQ0097xxkNfFLZwgkD9VZ8IlIg7casRVeVwEe0R/ZjRUF6P2aK8HyGFReSahPGPsKgcRt8RHChrP4ZQCYn5BGUyRI6303LS8ZEgyqRk/H8oEPhtwGj4/7d3t/6p81AAxx+HnKxEIpGVk0hk5SQSuT9hEomcRCKRk0jkJBKJRO755CQtJzkpze7d89w79vu6dU3apkBOm7dYeJBc+nFkp91yNp1In/foZ6D98mQrhTBGrOsKdT5sl4+TbkSm/x5G/cGF7/I1f21nip3XUzfmvPuBknSP6qcyNXBcbehY3fXp0RPyW63P29f3ahd/aW1H8NObjI6Lf2D8D+hkIW0sp7flbFZLZaiCIVtAYVSbqUvcuEEZBzb39ysyfDLntYtg7K29Cjc5mb83M24zG8353//62Sf+uBz362Zat2MSfWuT7jW/qLt/+pPX3Sv9lm7/duyhHeIYdWIJxf3s5oc4bZrm9VRw622iXN7+45Y0lyWzH6dF005k2Fe/5+7I8H20H5iWP4HPVnEnOYvcV/vj47JtHtwkLS+ucPxFx9ccn+7H5bh98qXZnYPfw56UfD5cN6XZa/I+IYxLsWwmLVsm5ttqv9C/lAg/DkFDys0l246VchVw+LU2lYv7PqXbWtfJUXw7wvoQ6no9M1Ga2HWiDrP2+CVrQpXVTiN13rmGk5jbU81003vc1MCx9CRWjTtLe96Zea6k7lCzSz1kV9V5X7VHnsgsPfGR9YF8RaZnz1KvZ8+7hdwmmXsrf5U3Tya6or7XvnJuMnyuzSVZoChfCp3rnDg+7fNWNSjJR637r2ptyl5xqGpm11mOkgvSp6I+WW1xuymcZGqpgVufTdSTt6yz1J5OdaNo5DPUl0ur946U38c0188FDcfVY6X6McnRqqpaJJmqL1luArXj22r5OO2yceXyvNOfjFzQ8P4yGbnJvZbZb2y4Q1bPldkvkfmc2mL7pUT4iQgavonz7mn8z2SppxS8nOQp5sY7Svyev+hdrK9qep/RAeB/QdDwPUhfC1t9mQkM8JUIGgAgQtDwTcj8gg+zdTuo4+Ny8jPmVqrnGb7U39SAa1qXAeAPIGj4No47t4rWtclV2kD1qEt8pb+pAde0LgPAn0HQAAAAihA0AACAIgQNAACgCEEDAAAoQtAAAACKEDQAAIAiBA1fTyYPblcdDtPxyNyzYbjk3zFb0J3bLypmQgKAL0bQkNDD81ujalw3q7DukJabMdBN3TfyKyntF2MJGmRtHz8FtFsM556DhtNhrWbel7UaZEGjaB+3ZEEbVIUFEG6KEvhVDuIk+cn5CRoA4IsRNGTI5MxdnXM5HTaLqVvR76FexdV9Jmhwm5LVIGQG4MKVcb81metaL9woU1b+86CL4/1lOlLrRvrFGs1SwEpY32e5O4ZlA/3yjqOZWoQwHzQ0BA0A8LUIGjJy8/yHlYDjZZGt9+dxGkb8nAUi5CVLsq5xvC7wae3Wg9brMIeVmPvmXPRLlccJ7DqBLmj4CQUMAH8YQUNGLmj4+Di/Prrn16QCS0iAkCx7KxVnmtvPEKr3l7bIpHjGSfPMflmZtzOt/K2QNwsqBUEDAPwvCBoy8jXVx8VHDaGhoev80IUIx9XjdWUIZ7792C26tnhxjSeOm0U9Dk3/43q5a1svonxPu2XtM1Bn05dytwiHn299x0v5azRpNmmYE3XVHD2M68X22njSl/0vkIJUbQ++/SLt0+GLO99+4980jJcHvdEnmL1273w+FTToApaCkFIbVTNpe9IFt9hdW0D6Clf2sdkAwF0iaMjoCRrC9uQJN64D7ZZsbqE23UjD/mnjWj50w4fkMp43s9nz7uDb8Nv0t1OGJ/vpbLbaX3eIK+TLtqm6LC6H+FV/SfaZkklczsf9ZvlYjSbz1V73VniTlZdUde+kbRixcEldnwbfC6JqdC+ITwUNjhRwNaldtORKYS9lPJ4183lUcNGZJoV7Ob3O3dXUTfMYsvGFmYQ4AHA/CBoyctX8dbv6h2z4fNBwdI/PesVl/w7jWrWH6qnNxi1y6NMPpvS1odrBNI6YLgQuSTjUUPamAHKuvRJHVb1YH6Iuju9pX8nt8rFqn/v1jtpp27iL6Iwb9WLEkUuYdSMsRuN6cXv5T38haqFp/w5EF0um0cQU7rZxh1MNVuntAID7QtCQYat5vf23gwZ55R5XR75q77r7S5K06b8opRw/OvOkG6Z/1s8PLBjO/hMux91zLX1H46ER5337bt+NyHSLe2+k6rXF7Z13T65vafemIQzJiMr4fV1P6uduQIY/7o0opOTGmduWKVy7j8kGAO4JQUOGrQv0dlWZF9Q9mdx8vZ0x3+gkmapnOKWp15It/lE4k7UznP1n7d1rjb5OjkHo6NB1loxcXme28+l+4V5O3Hie96nSZhDFFrC5cea2pUWZ3cdkAwD3hKAhw9YFInSEVNsL6p5MbvJS+2bFYvP1hlOaei3Zku+KGAxn/2m3+ys4N8MYf/Ym6JCt9gZd+TLvyzRXwObGmduWFmV2H5MNANwTgoYMWxc4/vE1mlCgoO7J5CYVt6kINZuvN5zS1GvpFvmzWl7b5ZXh7D/NX/yNlwJ+h953Aj48SJtH8lsVggYA+C8QNGTYuqCb3GnyYuKB23VPLjfpizjOV9zC5hsMpjT1Wrrl5oP9YPa3uUPFLQn+aP3DCeRCb80HeVxNbQZymtdAI3dYH9/1hj+2gM2Ns7ctLcrcPiYbALgnBA0ZZhpp38V/NF1G4wfbJ17V4n9eu0oynt7Qt8BHtZqPQMZN6OJ/ObsjTJ527eO2z1d17u8MpPS1mO7gL4MAomrs7Umin24i5/1q1mVQlL15B9Pyp62miJYeifkg5HLcr92YiGr2GndmSF8S+L+vp3Tcuo6Ro+k1eksOe96v3GFvhSK2gH1wogvODVmJ74EtXLOPzQYA7glBQyKzYNWoqqSXf/IG3dcYfg+JEnTSUe2DBL3Tw0LFEtcJgvwQwfWhm6NJJQm5RHpT6uP7GEVt0VnFAxiS1Z96sx8OGi7vbyu3XFWb2s0aZYrNZfMyGY1cmeq8u38mQYNMnbSo2yVCM+tVnQ+b56YeR4dNRnpGdAE35sbJrbT3wBau2cdmAwB3hqABAAAUIWgAAABFCBoAAEARggYAAFCEoAEAABQhaAAAAEUIGgAAQBGCBgAAUISgAQAAFCFoAAAARQgaAABAEYIGAABQhKABAAAUIWgAAABFCBoAAEARggYAAFCEoAEAABQhaAAAAEUIGgAAQBGCBgAAUISgAQAAFCFoAAAARQgaAABAkX8BN6+y4aj3f7UAAAAASUVORK5CYII=" />

Michael Jabot 2025-01-01T12:22:59Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=143876501 2025-01-01T12:17:33Z 2025-01-01T12:17:33Z

Mike Jabot’s El Nino Observations for, December 2024<br />Location: 42.444141 N, -79.346077 W<br />Maximum Temperatures:<br /><br />Range of maximum temps: -7.78° to 16.67°<br /><br />Maximum temp. above normal for 15/31 days<br /><br />Maximum temp. below normal for 14/31 days<br /><br />Maximum temp. same as normal for 2/31 days<br />Minimum Temperatures:<br /><br />Range of minimum temps: -12.78° to 6.67°<br /><br />Minimum temp. above normal for 19/31 days<br /><br />Minimum temp. below normal for 11/31 days<br /><br />Minimum temp. same as normal for 1/31 days<br />Average Temperatures:<br /><br />Range of observed average temps: -10.56° to 11.11°<br /><br />Average observed temp. above normal for 18/31 days<br /><br />Average observed temp. below normal for 13/31 days<br /><br />Average observed temp. same as normal for 0/31 days<br />Precipitation:<br />number of days with more than a trace of precip.: 20/31<br />total amount of liquid precipitation: 205.24 mm<br />average amount of precipitation for: 86.10 mm<br />Difference: 119.14 mm

Michael Jabot 2025-01-01T12:17:33Z Michael Jabot https://www.globe.gov/c/message_boards/find_message?p_l_id=16257162&messageId=140093891 2024-11-01T13:06:32Z 2024-11-01T13:06:32Z

<span style="font-size: 16px;"></span><strong>Mike Jabot’s El Nino Observations for, October 2024</strong><span style="font-size: 16px;"></span>Location: 42.444141 N, -79.346077 W<br /><span style="font-size: 16px;"></span><u><strong>Maximum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of maximum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>9.44<span style="font-size: 16px;"></span>° to<span style="color: #000000"></span><span style="font-size: 16px;"></span> 27.78<span style="font-size: 16px;"></span>°</li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>19<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Maximum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>12<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Maximum temp. same as normal for 0/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Minimum Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of minimum temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>0.00<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>17.22<span style="font-size: 16px;"></span>°</li><li><span style="font-size: 16px;"></span>Minimum temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>17<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>14<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li><li><span style="font-size: 16px;"></span>Minimum temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/31<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Average Temperatures:</strong></u><ul style="list-style: disc outside;"><li><span style="font-size: 16px;"></span>Range of observed average temps: <span style="color: #000000"></span><span style="font-size: 16px;"></span>5.56<span style="font-size: 16px;"></span>° to <span style="color: #000000"></span><span style="font-size: 16px;"></span>21.67<span style="font-size: 16px;"></span>° </li><li><span style="font-size: 16px;"></span>Average observed temp. above normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>20<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li><li><span style="font-size: 16px;"></span>Average observed temp. below normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>11<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days</li><li><span style="font-size: 16px;"></span>Average observed temp. same as normal for <span style="color: #000000"></span><span style="font-size: 16px;"></span>0<span style="font-size: 16px;"></span>/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span> days </li></ul><br /><span style="font-size: 16px;"></span><u><strong>Precipitation:</strong></u><span style="font-size: 16px;"></span>number of days with more than a trace of precip.: 12/<span style="color: #000000"></span><span style="font-size: 16px;"></span>31<span style="font-size: 16px;"></span>total amount of liquid precip<span style="color: #000000"></span><span style="font-size: 16px;"></span>itation: <span style="color: #000000"></span><span style="font-size: 16px;"></span>74.42<span style="font-size: 16px;"></span> mm <span style="font-size: 16px;"></span>average amount of precipitation for: <span style="color: #000000"></span><span style="font-size: 16px;"></span>103.12<span style="font-size: 16px;"></span> mm<span style="font-size: 16px;"></span>Difference:-28.70<span style="color: #000000"></span><span style="font-size: 16px;"></span> <span style="font-size: 16px;"></span>mm<br />​​​​​​​

Michael Jabot 2024-11-01T13:06:32Z