served from digilib.icpac.net
mean ∂T [ ENACTS version0 seasonal rainfall spi anomalies ] : ∂T Standardized Precipitation Index data
seasonal rainfall spi spi partial_T partial_T ∂T Standardized Precipitation Index from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (16 Feb 1981 - 15 Mar 1981) (16 Mar 1981 - 15 Apr 1981) (16 Apr 1981 - 15 May 1981) ... (16 Jul 2024 - 15 Aug 2024)] N= 522 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
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 3
- units
- 12 year-1
- history
- mean $partialdiff sub T$ [ ENACTS version0 seasonal rainfall spi anomalies ]
- Averaged over T2[Feb 1981 - Jan 1982, Feb 2023 - Jan 2024] minimum 0.0% data present
Averaged over X[21.83E, 51.48E] minimum 0.0% data present
- Averaged over T2[Feb 1981 - Jan 1982, Feb 2023 - Jan 2024] minimum 0.0% data present
Last updated: Mon, 28 Oct 2024 09:34:35 GMT
Expires: Sun, 10 Nov 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 grid: /T (days since 1960-01-01) ordered [ (16 Feb 1981 - 15 Mar 1981) (16 Mar 1981 - 15 Apr 1981) (16 Apr 1981 - 15 May 1981) ... (16 Jul 2024 - 15 Aug 2024)] N= 522 pts :grid | M | |
|---|---|---|
| grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid | M | |
 mean $partialdiff sub T$ [ ENACTS version0 seasonal rainfall spi anomalies ] [ T | Y] | 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 Y
- Differentiate along T Y
- Take differences along T Y
RMS (root mean square with mean *not* removed) over T Y | T Y |
RMSA (root mean square with mean removed) over T Y | T Y |
Maximum over T Y | T Y |
Minimum over T Y | T Y |
Detrend (best-fit-line) over T Y | T Y |
Note on units