root mean sq anom ∂Y [ ∫dT ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ] : ∂Y Rainfall data Expressed as Percentages of the Long-Term Average data
dekadal rainfall rfe_merged_vs_meanrfe_merged int_dT int_dT partial_Y partial_Y
∂Y Rainfall data Expressed as Percentages of the Long-Term Average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) periodic [ (0000 1 Jan 1960) (0000 10 Jan 1960) (0000 20 Jan 1960) (0000 30 Jan 1960) (0000 10 Feb 1960) (0000 20 Feb 1960) (0000 1 Mar 1960) (0000 10 Mar 1960) (0000 20 Mar 1960) (0000 30 Mar 1960) (0000 10 Apr 1960) (0000 20 Apr 1960) (0000 30 Apr 1960) (0000 10 May 1960) (0000 20 May 1960) (0000 30 May 1960) (0000 10 Jun 1960) (0000 20 Jun 1960) (0000 30 Jun 1960) (0000 10 Jul 1960) (0000 20 Jul 1960) (0000 30 Jul 1960) (0000 10 Aug 1960) (0000 20 Aug 1960) (0000 30 Aug 1960) (0000 10 Sep 1960) (0000 20 Sep 1960) (0000 30 Sep 1960) (0000 10 Oct 1960) (0000 20 Oct 1960) (0000 30 Oct 1960) (0000 10 Nov 1960) (0000 20 Nov 1960) (0000 30 Nov 1960) (0000 10 Dec 1960) (0000 20 Dec 1960)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 49503.5534993031 radian-1 north second
- history
- $partialdiff sub Y$ [ $integral dT$ ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2022 - 25 Dec 2023]
root mean sq anom $partialdiff sub Y$ [ $integral dT$ ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ] - Averaged over X[21.855E, 51.455E]
Last updated: Tue, 25 Jun 2024 12:58:56 GMT
Expires: Tue, 11 Jun 2024 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