root mean sq anom [ ∫dY ( NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff ) climatology ]: Reconstructed Rainfall Anomaly data
ENACTS_v1 MON Rainfall dekadal precipdiff int_dY int_dY Reconstructed Rainfall Anomaly from NiMet ENACTS: Enhancing National Climate Service Initiative.
Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan - 0000 11 Jan) to (0000 21 Dec - 0000 1 Jan) by 0.3333335 N= 36 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian north
- history
- $integral dY$ [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff ] climatology
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2024] minimum 0.0% data present
root mean sq anom [ $integral dY$ ( NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff ) climatology ]- Averaged over Y[3.95625N, 14.11875N] minimum 0.0% data present
Last updated: Fri, 21 Nov 2025 22:30:18 GMT
Expires: Mon, 01 Dec 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 X
T
- Differentiate along X
T
- Take differences along X
T
Average over
X
T
|
X T
|
RMS (root mean square with mean *not* removed) over
X
T
|
X T
|
RMSA (root mean square with mean removed) over
X
T
|
X T
|
Maximum over
X
T
|
X T
|
Minimum over
X
T
|
X T
|
Detrend (best-fit-line) over
X
T
|
X T
|
Note on units