Maritime Accumulated Precipitaion Analysis Information


csv Chart


Unit : mm
datetime global
Mean		 global
Climatology		 global
Anomaly		 global
0.5xstd		 East Asia
Mean		 East Asia
Climatology		 East Asia
Anomaly		 East Asia
0.5xstd		 East
Mean		 East
Climatology		 East
Anomaly		 East
0.5xstd		 Yellow
Mean		 Yellow
Climatology		 Yellow
Anomaly		 Yellow
0.5xstd		 East China
Mean		 East China
Climatology		 East China
Anomaly		 East China
0.5xstd
2017-05 101.4 99.2 2.2 1.3 146.9 140.4 6.5 9.4 49.1 84.2 -35.1 10.9 36.6 79.0 -42.4 13.3 137.0 179.3 -42.3 23.5
2017-04 94.9 94.3 0.7 1.2 99.0 99.9 -0.9 8.9 76.9 67.7 9.1 10.0 33.0 57.0 -24.0 10.2 147.4 151.8 -4.3 18.3
2017-03 98.3 97.0 1.3 1.4 83.3 93.1 -9.8 7.0 40.3 65.0 -24.7 7.6 16.5 40.4 -23.8 10.6 129.7 142.8 -13.1 19.4
2017-02 87.8 89.5 -1.8 1.8 70.5 79.5 -9.0 6.9 76.7 65.6 11.1 7.1 26.1 29.7 -3.6 5.5 75.0 102.7 -27.8 14.9
2017-01 99.0 99.4 -0.5 1.6 76.5 92.2 -15.6 7.6 86.4 83.1 3.2 7.3 25.6 28.0 -2.4 7.1 67.4 103.2 -35.8 17.5
2016-12 101.4 100.3 1.1 1.3 111.4 109.1 2.3 8.6 107.4 97.0 10.5 9.8 39.7 33.5 6.2 6.2 78.8 98.6 -19.8 17.8
2016-11 99.8 96.8 3.0 1.4 123.7 118.5 5.2 7.4 89.7 86.3 3.5 8.6 39.6 49.2 -9.6 15.0 119.8 113.4 6.4 23.1
2016-10 101.5 99.1 2.5 1.4 142.9 142.2 0.6 9.8 97.6 88.5 9.1 10.0 143.1 46.9 96.2 14.3 218.5 118.0 100.5 32.7
2016-09 95.2 95.2 -0.1 1.3 183.9 167.2 16.7 9.3 127.4 127.5 -0.1 19.7 113.5 93.9 19.6 21.7 261.4 187.0 74.4 35.4
2016-08 101.9 98.2 3.7 1.5 209.6 172.5 37.2 10.4 149.4 135.7 13.7 19.5 71.9 170.2 -98.3 27.8 86.6 175.7 -89.1 31.8
2016-07 98.9 98.8 0.0 1.3 139.4 150.5 -11.1 12.4 148.9 133.8 15.1 18.7 166.5 182.0 -15.5 28.0 141.8 155.4 -13.6 35.3
2016-06 97.9 96.7 1.1 1.3 147.8 158.7 -10.9 10.9 103.9 90.5 13.4 12.1 107.4 115.4 -8.0 20.6 256.7 288.6 -31.9 28.6
2016-05 101.0 99.2 1.8 1.3 135.1 140.4 -5.3 9.4 99.9 84.2 15.7 10.9 108.6 79.0 29.6 13.3 246.0 179.3 66.7 23.5
2016-04 96.2 94.3 1.9 1.2 119.2 99.9 19.3 8.9 88.6 67.7 20.9 10.0 81.3 57.0 24.4 10.2 221.5 151.8 69.8 18.3
2016-03 99.5 97.0 2.5 1.4 106.7 93.1 13.6 7.0 41.4 65.0 -23.6 7.6 20.4 40.4 -20.0 10.6 148.5 142.8 5.7 19.4
2016-02 100.5 89.5 11.0 1.8 92.9 79.5 13.4 6.9 82.9 65.6 17.3 7.1 33.4 29.7 3.7 5.5 124.6 102.7 21.9 14.9
2016-01 104.1 99.4 4.6 1.6 123.9 92.2 31.7 7.6 85.8 83.1 2.6 7.3 25.1 28.0 -2.9 7.1 192.7 103.2 89.5 17.5
2015-12 104.6 100.3 4.3 1.3 112.2 109.1 3.0 8.6 78.9 97.0 -18.0 9.8 36.5 33.5 3.0 6.2 168.8 98.6 70.1 17.8
2015-11 99.7 96.8 3.0 1.4 121.6 118.5 3.1 7.4 109.3 86.3 23.0 8.6 119.7 49.2 70.5 15.0 162.8 113.4 49.5 23.1
2015-10 103.7 99.1 4.6 1.4 132.5 142.2 -9.7 9.8 95.6 88.5 7.1 10.0 23.4 46.9 -23.5 14.3 56.8 118.0 -61.1 32.7
2015-09 99.5 95.2 4.3 1.3 143.7 167.2 -23.5 9.3 104.2 127.5 -23.3 19.7 89.7 93.9 -4.2 21.7 174.4 187.0 -12.6 35.4
2015-08 102.8 98.2 4.6 1.5 164.6 172.5 -7.8 10.4 113.6 135.7 -22.1 19.5 127.3 170.2 -42.9 27.8 276.7 175.7 101.0 31.8
2015-07 100.4 98.8 1.5 1.3 189.8 150.5 39.3 12.4 103.2 133.8 -30.6 18.7 155.9 182.0 -26.1 28.0 312.5 155.4 157.2 35.3
2015-06 101.1 96.7 4.3 1.3 145.1 158.7 -13.6 10.9 87.7 90.5 -2.8 12.1 101.9 115.4 -13.5 20.6 313.4 288.6 24.8 28.6
2015-05 101.9 99.2 2.7 1.3 144.9 140.4 4.5 9.4 67.8 84.2 -16.4 10.9 62.7 79.0 -16.3 13.3 219.3 179.3 40.1 23.5
2015-04 96.0 94.3 1.7 1.2 96.0 99.9 -3.9 8.9 84.2 67.7 16.4 10.0 67.0 57.0 10.0 10.2 140.0 151.8 -11.8 18.3
2015-03 99.4 97.0 2.3 1.4 73.6 93.1 -19.5 7.0 69.7 65.0 4.7 7.6 28.0 40.4 -12.4 10.6 124.3 142.8 -18.5 19.4
2015-02 90.9 89.5 1.4 1.8 66.3 79.5 -13.1 6.9 65.5 65.6 -0.2 7.1 23.9 29.7 -5.9 5.5 80.3 102.7 -22.4 14.9
2015-01 102.1 99.4 2.6 1.6 85.2 92.2 -6.9 7.6 70.9 83.1 -12.2 7.3 17.1 28.0 -10.9 7.1 65.4 103.2 -37.8 17.5
2014-12 103.0 100.3 2.7 1.3 117.7 109.1 8.6 8.6 133.9 97.0 36.9 9.8 31.7 33.5 -1.8 6.2 80.5 98.6 -18.1 17.8