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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
DHUBRI -INDIA (STATIONS NORTH OF LATITUDE 20~N)  
Lat.: 26.02 °N / Lon.: 89.98°E   Height: 35(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
2017-09 28.7 31.0 26.3 415 28.4 327.6 -0.53 -0.40
2017-10 26.8 29.2 24.4 175 26.6 119.3 0.41 -0.87
2017-11 22.8 26.2 19.4 0 22.6 1.9 0.77 -0.68
2017-12 20.3 24.5 16.1 0 18.8 1.9 0.45 -0.35
2018-01 16.2 21.0 11.4 0 17.1 7.1 -1.30 0.48
2018-02 20.7 25.5 16.0 4 20.4 11.9 -0.84 0.84
2018-03 24.7 29.6 19.8 75 24.5 60.6 0.38 0.37
2018-04 26.2 189.6
2018-05 26.5 29.8 23.1 531 27.2 358.1
2018-06 28.7 31.6 25.9 344 28.3 537.6
2018-07 29.5 31.8 27.1 233 29.0 309.9 -0.65
2018-08 29.9 32.5 27.3 148 29.4 280.8 -1.81
2018-09 28.9 31.3 26.6 406 28.4 327.6 -0.97
2018-10 25.9 28.8 22.9 26 26.6 119.3 -0.70 -1.11
2018-11 22.3 26.4 18.3 0 22.6 1.9 0.17 -1.65
2018-12 18.9 23.2 14.6 4 18.8 1.9 -1.30 -1.27
2019-01 18.2 23.5 12.9 0 17.1 7.1 -0.53 -0.68
2019-02 20.3 24.9 15.7 44 20.4 11.9 1.29 0.37
2019-03 23.9 29.1 18.7 25 24.5 60.6 0.21 -1.07
2019-04 26.0 29.9 22.2 228 26.2 189.6 0.72 0.52
2019-05 25.9 28.8 23.1 377 27.2 358.1 0.35 0.40
2019-06 28.9 32.1 25.8 357 28.3 537.6 -0.40 -0.46
2019-07 28.7 31.0 26.4 477 29.0 309.9 -0.37 -0.22
2019-08 30.7 33.5 27.8 130 29.4 280.8 -0.97 -0.72

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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