root mean sq anom ∂T [ NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmin ] : ∂T Merged Station-Downscaled Reanalysis Minimum Temperature Climatology 1991-2020 data
ENACTS_v1 ALL Temperature monthly c9120 tmin partial_T
∂T Merged Station-Downscaled Reanalysis Minimum Temperature Climatology 1991-2020 from NiMet ENACTS: Enhancing National Climate Service Initiative.
Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (16 Dec - 15 Jan) to (16 Nov - 15 Dec) by 1.0 N= 12 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
- missing_value
- NaN
- units
- 12 degree_Kelvin year-1
- history
- $partialdiff sub T$ [ NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmin ]
- Boxes with less than 100.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present
root mean sq anom $partialdiff sub T$ [ NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmin ] - Averaged over X[2.4E, 14.925E] minimum 0.0% data present
Last updated: Mon, 17 Feb 2025 14:29:37 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