root mean sq ∫dT [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff climatology ] : Reconstructed Rainfall Anomaly data
ENACTS_v1 MON Rainfall dekadal precipdiff precipdiff int_dT Reconstructed Rainfall Anomaly from NiMet ENACTS: Enhancing National Climate Service Initiative.
Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1960) to (0000 1 Jan 1961) by 0.3333335 N= 37 pts :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
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 8.33333333333333×10-05 meter year
- history
- $integral dT$ [ 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, 2357 30 Dec 2024 - 2357 30 Dec 2025] minimum 0.0% data present
root mean sq $integral dT$ [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff climatology ] - Averaged over X[2.38125E, 14.94375E] minimum 0.0% data present
Last updated: Wed, 11 Mar 2026 17:46:12 GMT
Expires: Sat, 21 Mar 2026 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