∂Y [ mean ( ENACTS version0 dekadal rainfall rfe_mergeddiff ) climatology ]: ∂Y Rainfall Anomaly data
dekadal rainfall rfe_mergeddiff rfe_mergeddiff rfe_mergeddiff partial_Y
∂Y 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
- 0.0572957795130823 meter radian-1 north
- history
- mean [ 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
$partialdiff sub Y$ [ mean ( ENACTS version0 dekadal rainfall rfe_mergeddiff ) climatology ]- Averaged over T2[1981, 2357 30 Dec 2023 - 2357 30 Dec 2024] minimum 0.0% data present
Last updated: Thu, 20 Feb 2025 09:48:36 GMT
Expires: Tue, 11 Feb 2025 00:00:00 GMT
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
Average over
Y
T
|
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