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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
SANDAKAN -MALAYSIA (SABAH AND SARAWAK)  
Lat.: 5.90 °N / Lon.: 118.07°E   Height: 10(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
2017-03 27.3 30.4 24.6 388 27.5 236.2 0.59 0.81 0.99
2017-04 27.8 31.7 24.7 353 28.1 178.9 0.78 0.99 1.36
2017-05 28.6 32.9 25.4 203 28.4 139.5 1.65 1.07 1.37
2017-06 27.8 32.5 24.1 436 28.1 187.5 2.36 1.27 1.64
2017-07 27.9 32.6 24.4 291 27.9 209.0 2.02 1.39 1.59
2017-08 28.0 34.5 304 27.9 239.1 2.26 2.39 1.63
2017-09 27.9 175 27.7 255.3 0.51 2.07 1.48
2017-10 27.9 291 27.5 305.8 0.16 1.34 1.39
2017-11 27.6 318 27.3 323.6 -0.24 1.09 1.45
2017-12 27.2 616 27.0 439.3 0.79 0.77 1.53
2018-01 26.8 291 26.8 460.0 0.07 0.07 1.05
2018-02 26.9 294 27.0 321.8 0.14 0.00 1.31
2018-03 27.5 262 27.5 236.2 -0.04 0.20 1.10
2018-04 28.0 374 28.1 178.9 0.77 0.57 1.11
2018-05 28.8 49 28.4 139.5 0.88 0.44 0.87
2018-06 28.3 230 28.1 187.5 1.07 0.25 0.58
2018-07 28.4 179 27.9 209.0 -0.33 0.57 0.41
2018-08 28.1 264 27.9 239.1 0.36 0.84 0.38
2018-09 27.9 208 27.7 255.3 -0.08 0.64 0.44
2018-10 27.9 311 27.5 305.8 0.22 -0.12 0.45
2018-11 27.8 299 27.3 323.6 -0.08 0.07 0.44
2018-12 27.8 375 27.0 439.3 -0.31 -0.31 0.08
2019-01 27.3 451 26.8 460.0 -0.22 -0.14 0.26
2019-02 27.4 0 27.0 321.8 -0.75 -0.73 -0.20

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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