served from digilib.icpac.net
root mean sq [ ENACTS version0 dekadal rainfall rfe_mergeddiff ] climatology: Rainfall Anomaly data
dekadal rainfall rfe_mergeddiff rfe_mergeddiff rfe_mergeddiff rfe_mergeddiff Rainfall Anomaly from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1960) (11-20 Jan 1960) (21-31 Jan 1960) (1-10 Feb 1960) (11-20 Feb 1960) (21-29 Feb 1960) (1-10 Mar 1960) (11-20 Mar 1960) (21-31 Mar 1960) (1-10 Apr 1960) (11-20 Apr 1960) (21-30 Apr 1960) (1-10 May 1960) (11-20 May 1960) (21-31 May 1960) (1-10 Jun 1960) (11-20 Jun 1960) (21-30 Jun 1960) (1-10 Jul 1960) (11-20 Jul 1960) (21-31 Jul 1960) (1-10 Aug 1960) (11-20 Aug 1960) (21-31 Aug 1960) (1-10 Sep 1960) (11-20 Sep 1960) (21-30 Sep 1960) (1-10 Oct 1960) (11-20 Oct 1960) (21-31 Oct 1960) (1-10 Nov 1960) (11-20 Nov 1960) (21-30 Nov 1960) (1-10 Dec 1960) (11-20 Dec 1960) (21-31 Dec 1960)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- mm
- standard units*
- 0.001 meter
- history
- root mean sq [ ENACTS version0 dekadal rainfall rfe_mergeddiff ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over X[21.83E, 51.48E] minimum 0.0% data present
root mean sq [ ENACTS version0 dekadal rainfall rfe_mergeddiff ] climatology- Averaged over T2[1981, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units