jma_logo Welcome to TCC wmo_logo
Home
World Climate
Climate System Monitoring
El Niño Monitoring
NWP Model Prediction
Global Warming
Climate in Japan
Training Module
Press release
Links
HOME > World Climate > ClimatView > chart/table

Monthly data --- chart/table

♦Search Form
Year/Month:   Term:   SPI time scale:
graph
ROLLA-VICHY, MO, ROLLA NATIONAL ARPT -UNITED STATES OF AMERICA  
Lat.: 38.12 °N / Lon.: 91.77°W   Height: 344(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
2017-04 15.2 21.1 9.1 282 13.2 127.9
2017-05 17.4 23.3 11.5 156 18.1 143.6
2017-06 22.5 28.7 16.2 74 22.9 84.4
2017-07 25.5 31.7 19.4 185 25.2 121.4
2017-08 22.2 27.8 16.6 151 24.6 111.6
2017-09 21.6 28.3 14.8 5 20.2 64.5
2017-10 15.5 21.5 9.4 73 14.0 81.6
2017-11 9.5 15.3 2.5 7 7.5 79.6
2017-12 1.4 6.6 -4.3 16 2.0 67.9
2018-01 -1.1 4.6 -7.7 42 -0.2 42.1
2018-02 3.0 8.4 -3.8 137 2.4 52.7
2018-03 6.4 11.7 0.8 86 7.5 89.3
2018-04 9.9 15.9 3.2 51 13.2 127.9
2018-05 22.0 27.9 16.0 138 18.1 143.6
2018-06 24.7 29.9 19.4 69 22.9 84.4
2018-07 25.6 32.1 19.0 80 25.2 121.4
2018-08 24.5 29.9 19.1 87 24.6 111.6
2018-09 22.2 27.5 16.6 55 20.2 64.5
2018-10 13.8 19.3 8.4 119 14.0 81.6
2018-11 3.4 7.9 -1.2 66 7.5 79.6
2018-12 3.2 7.7 -1.3 97 2.0 67.9
2019-01 -0.4 3.9 -4.8 36 -0.2 42.1
2019-02 1.8 7.0 -3.9 68 2.4 52.7
2019-03 5.2 10.4 -0.1 123 7.5 89.3

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.
Copyright(C) 2002. Japan Meteorological Agency. - Legal Notice -