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HOME > World Climate > ClimatView > chart/table

Monthly data --- chart/table

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Year/Month:   Term:   SPI time scale:
graph
PUTTALAM -SRI LANKA  
Lat.: 8.03 °N / Lon.: 79.83°E   Height: 2(m)
downlod file----download in csv file
Year/Month Observation Normal SPI
Mean Temp.
[degC]
Max. Temp.
(Monthly Mean)
[degC]
Min. Temp.
(Monthly Mean)
[degC]
Precip.
[mm]
Mean Temp.
[degC]
Precip.
[mm]
3-Month
6-Month
12-Month
2013-08 28.7 31.6 25.8 145 28.8 27.9 1.33 -0.54
2013-09 28.1 30.7 25.5 102 28.7 74.2 1.44 -0.37
2013-10 28.2 31.4 25.1 122 27.9 214.2 0.50 -0.15
2013-11 26.9 30.9 23.0 287 26.9 254.8 -0.11 0.31 0.45
2013-12 25.7 29.6 21.8 433 26.3 177.3 0.86 1.27 0.78
2014-01 25.9 30.1 21.7 97 26.0 52.8 1.77 1.38 0.75
2014-02 26.5 32.3 20.8 9 26.9 41.4 1.77 0.97 0.46
2014-03 28.7 34.4 23.1 35 28.3 66.5 0.04 0.75 0.31
2014-04 28.9 156.4
2014-05 29.3 32.4 26.1 85 29.4 98.5
2014-06 29.8 32.1 27.6 15 29.1 34.6
2014-07 29.3 31.6 27.0 0 28.8 19.8 -0.32
2014-08 28.7 31.2 26.1 66 28.8 27.9 0.39
2014-09 28.5 31.3 25.6 110 28.7 74.2 0.89
2014-10 27.7 31.1 24.4 250 27.9 214.2 0.79 0.42
2014-11 26.3 28.6 23.1 347 26.9 254.8 0.82 0.85
2014-12 26.0 28.9 23.2 473 26.3 177.3 1.64 1.72
2015-01 25.8 30.8 21.0 8 26.0 52.8 1.81 1.58
2015-02 26.4 31.6 21.2 33 26.9 41.4 1.65 1.51
2015-03 34.1 55 28.3 66.5 -0.45 1.41
2015-04 28.0 32.5 23.8 239 28.9 156.4 0.49 1.87 1.42
2015-05 29.0 32.1 26.0 202 29.4 98.5 0.86 1.72 1.84
2015-06 29.3 32.0 26.5 44 29.1 34.6 1.00 0.60 1.85
2015-07 29.4 31.9 27.0 0 28.8 19.8 0.95 0.83 1.88

Note) Background colors of the Standardized Precipitation Indices (SPIs) cell in the table are changed in accordance with the degree of dryness only when the values become below -1.0. It is noted that the SPI value with -9999 (9999) will be displayed in the case of extreme low (high) precipitations where occurrence frequencies of such event are significantly small during a certain period. "Occurrence frequencies are significantly small" means cumulative probability equals zero (one) or is very close to zero (one).


Tokyo Climate Center, Climate Prediction Division.
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