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ICPAC CHIRP-BLENDED seasonal rainfall spi: Standardized Precipitation Index data
ICPAC CHIRP-BLENDED seasonal rainfall spi.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan-Mar 1981) to (Jan-Mar 2017) by 1.0 N= 433 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 3
- colorscalename
- precip_colors
- CS
- -3
- datatype
- doublearraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 3
- scale_max
- 3.0
- scale_min
- -3.0
- units
- unitless
- valid_max
- 32767.0
- valid_min
- -32768.0
- colorscale
Last updated: Thu, 17 Dec 2020 09:38:54 GMT
Expires: Wed, 10 May 2017 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 ICPAC CHIRP-BLENDED seasonal rainfall[spi
] | |||
| ICPAC CHIRP-BLENDED seasonal rainfall spi[ T | X Y] | D | M | M |
|---|---|---|---|
 ICPAC CHIRP-BLENDED seasonal rainfall spi[ T | X Y] | M | M | M |
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along T X Y
- Differentiate along T X Y
- Take differences along T X Y
RMS (root mean square with mean *not* removed) over T X Y | T X T Y X Y | T X Y |
RMSA (root mean square with mean removed) over T X Y | T X T Y X Y | T X Y |
Maximum over T X Y | T X T Y X Y | T X Y |
Minimum over T X Y | T X T Y X Y | T X Y |
Detrend (best-fit-line) over T X Y | T X T Y X Y | T X Y |
Note on units