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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
AGALEGA -MAURITIUS  
Lat.: 10.38 °S / Lon.: 56.60°E   Height: 3(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
2018-04 28.8 32.1 25.4 259 28.0 168.4 1.68 1.35 0.79
2018-05 28.2 31.1 25.5 143 27.6 117.4 1.73 1.65 0.88
2018-06 27.1 30.0 24.0 144 26.4 106.7 1.07 1.82 1.07
2018-07 26.2 28.9 23.3 130 25.6 106.0 0.72 1.55 1.28
2018-08 26.4 29.3 23.6 47 25.6 54.9 0.62 1.58 1.09
2018-09 26.6 29.7 23.7 43 26.0 54.8 0.19 0.92 1.27
2018-10 27.3 30.9 24.6 91 26.7 84.8 -0.10 0.48 1.24
2018-11 28.2 31.7 24.8 191 27.3 103.4 0.60 0.87 1.73
2018-12 28.6 31.9 25.2 214 27.7 202.0 0.63 0.60 1.81
2019-01 28.0 31.6 24.6 293 27.8 279.1 0.59 0.45 1.37
2019-02 27.9 31.1 24.9 248 27.7 250.0 0.30 0.48 1.45
2019-03 28.7 31.9 25.3 159 28.0 193.8 0.04 0.40 0.80
2019-04 28.3 32.3 24.9 137 28.0 168.4 -0.16 0.33 0.47
2019-05 28.7 31.6 25.6 82 27.6 117.4 -0.43 -0.05 0.32
2019-06 26.4 106.7
2019-07 25.6 106.0
2019-08 25.6 54.9
2019-09 26.7 30.5 24.8 62 26.0 54.8
2019-10 27.4 31.1 25.2 398 26.7 84.8
2019-11 28.5 32.1 25.7 204 27.3 103.4 2.42
2019-12 28.1 32.2 24.9 308 27.7 202.0 2.30
2020-01 28.4 32.0 25.5 303 27.8 279.1 1.06
2020-02 28.3 32.1 25.1 229 27.7 250.0 0.70 1.83
2020-03 28.8 32.2 26.0 117 28.0 193.8 -0.29 1.59

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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