root mean sq anom ∂T [ NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal c9120 precip_stddev ] : ∂T Merged Station-Satellite Rainfall Climatology standard deviation 1991-2020 data
ENACTS_v1 ALL Rainfall dekadal c9120 precip_stddev partial_T
∂T Merged Station-Satellite Rainfall Climatology standard deviation 1991-2020 from NiMet ENACTS: Enhancing National Climate Service Initiative.
Independent Variables (Grids)
- Time
- grid: /T (days since 1991-01-01) (365) periodic [ (6-15 Jan) (6-15 Jan) (0000 16 Jan - 1200 26 Jan) (6-15 Feb) (16-24 Feb) (16-24 Feb) (25 Feb - 5 Mar) (6-15 Mar) (0000 16 Mar - 1200 26 Mar) (6-15 Apr) (6-15 Apr) (16-25 Apr) (26 Apr - 5 May) (6-15 May) (0000 16 May - 1200 26 May) (6-15 Jun) (6-15 Jun) (16-25 Jun) (26 Jun - 5 Jul) (6-15 Jul) (0000 16 Jul - 1200 26 Jul) (6-15 Aug) (6-15 Aug) (0000 16 Aug - 1200 26 Aug) (6-15 Sep) (6-15 Sep) (16-25 Sep) (26 Sep - 5 Oct) (6-15 Oct) (0000 16 Oct - 1200 26 Oct) (6-15 Nov) (6-15 Nov) (16-25 Nov) (26 Nov - 5 Dec) (6-15 Dec) (0000 16 Dec - 1200 26 Dec)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.975N) to (14.1N) by 0.0375 N= 271 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- root mean sq anom [ NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal precip ]
Averaged over T2[18.5, 1062.5] minimum 0.0% data present
- sqrt [ total dataflag ( NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal precip ) / ( total dataflag { NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal precip } - 1. ) ]
Averaged over T2[0.5, 1080.5]
root mean sq anom $partialdiff sub T$ [ NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal c9120 precip_stddev ] - Averaged over X[2.4E, 14.925E] minimum 0.0% data present
Last updated: Fri, 14 Feb 2025 14:55:22 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