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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
CURITIBA -BRAZIL  
Lat.: 25.42 °S / Lon.: 49.27°W   Height: 924(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 20.6 25.4 17.2 40 20.7 151.4 -1.31 -1.20 -0.13
2017-04 17.8 23.2 14.8 69 18.9 86.8 -2.00 -1.53 -0.36
2017-05 16.8 21.6 14.0 88 15.7 93.6 -1.09 -1.45 -0.50
2017-06 14.7 20.5 11.2 181 14.7 108.6 0.44 -0.71 -0.35
2017-07 13.6 21.0 9.1 8 14.1 102.4 0.00 -1.21 -0.72
2017-08 15.3 21.5 11.7 93 15.3 80.4 0.16 -0.58 -0.99
2017-09 19.1 26.8 14.3 36 16.5 136.1 -1.32 -0.52 -1.14
2017-10 18.2 24.0 14.6 212 18.0 154.6 0.09 -0.03 -1.03
2017-11 18.6 24.4 14.6 129 19.3 125.1 0.03 0.05 -1.02
2017-12 20.7 26.1 17.5 145 21.0 137.6 0.59 -0.41 -0.79
2018-01 20.9 26.3 18.0 372 21.6 222.9 1.23 0.87 -0.21
2018-02 20.1 25.6 16.8 97 21.6 186.3 0.68 0.43 -0.13
2018-03 21.5 27.3 18.5 328 20.7 151.4 1.71 1.52 0.82
2018-04 19.4 25.9 15.6 23 18.9 86.8 0.47 1.01 0.67
2018-05 17.3 22.9 13.8 27 15.7 93.6 0.49 0.68 0.46
2018-06 14.7 108.6
2018-07 14.1 102.4
2018-08 14.6 21.2 10.7 47 15.3 80.4
2018-09 16.6 22.7 13.4 44 16.5 136.1
2018-10 18.1 23.0 15.2 223 18.0 154.6 -0.15
2018-11 19.5 24.6 15.8 22 19.3 125.1 -0.76
2018-12 22.3 29.1 17.8 115 21.0 137.6 -0.32
2019-01 24.1 30.3 20.0 191 21.6 222.9 -1.05 -0.89
2019-02 21.2 26.5 18.1 301 21.6 186.3 0.64 0.01

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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