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Monthly data --- chart/table
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Term:
1 years
2 years
5 years
all years
SPI time scale:
3-Month
6-Month
12-Month
ALL display
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CAYENNE MATOURY -FRENCH GUIANA
Lat.: 4.82 °N / Lon.: 52.35°W Height: 4(m)
----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
2014-08
26.2
31.7
22.5
232
26.6
133.5
0.30
-1.59
-0.23
2014-09
26.8
32.4
22.3
137
27.0
67.4
1.41
-0.87
-0.21
2014-10
27.1
33.0
22.4
20
27.1
59.1
1.01
-0.14
-0.50
2014-11
26.7
31.6
23.2
203
26.8
132.7
0.71
0.58
-0.39
2014-12
26.2
30.8
23.0
324
26.3
373.4
0.04
0.69
-0.63
2015-01
26.0
29.8
23.5
406
26.0
393.2
0.22
0.54
-1.05
2015-02
25.8
29.4
23.4
261
26.0
350.6
-0.25
0.01
-1.14
2015-03
25.8
29.2
23.6
595
26.3
307.8
0.44
0.37
-0.21
2015-04
26.6
30.1
24.1
184
26.5
457.5
-0.18
-0.09
-0.16
2015-05
26.1
29.6
23.8
567
26.3
604.4
-0.06
-0.27
-0.03
2015-06
26.2
30.7
23.3
471
26.0
386.4
-0.84
-0.16
0.11
2015-07
26.2
31.2
22.8
253
26.1
266.5
0.08
-0.21
0.05
2015-08
26.6
31.6
22.9
167
26.6
133.5
0.25
0.03
-0.07
2015-09
27.3
32.9
22.8
47
27.0
67.4
-0.05
-0.83
-0.23
2015-10
27.3
32.9
22.6
73
27.1
59.1
0.20
0.05
-0.14
2015-11
27.2
32.2
23.1
79
26.8
132.7
-0.38
-0.07
-0.35
2015-12
26.7
30.4
23.8
311
26.3
373.4
-0.45
-0.52
-0.43
2016-01
26.2
30.0
23.3
78
26.0
393.2
-1.98
-1.56
-1.07
2016-02
26.6
29.5
24.6
305
26.0
350.6
-1.26
-1.36
-0.88
2016-03
26.8
30.1
24.3
364
26.3
307.8
-0.79
-1.00
-1.31
2016-04
26.7
30.5
24.2
544
26.5
457.5
0.22
-0.67
-0.56
2016-05
26.8
31.0
24.2
591
26.3
604.4
0.33
-0.54
-0.54
2016-06
26.1
31.1
23.2
429
26.0
386.4
0.38
-0.49
-0.63
2016-07
26.4
31.8
22.8
177
26.1
266.5
-0.34
-0.04
-0.78
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. -
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