max ∫dY [ NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmean ] : Merged Station-Downscaled Reanalysis Mean Temperature Climatology 1991-2020 data
ENACTS_v1 ALL Temperature monthly c9120 tmean int_dY Merged Station-Downscaled Reanalysis Mean Temperature Climatology 1991-2020 from NiMet ENACTS: Enhancing National Climate Service Initiative.
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.95625N) to (14.11875N) by 0.0375 N= 272 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- missing_value
- NaN
- units
- 0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north
- history
- NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmax
- Boxes with less than 100.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present
max $integral dY$ [ NiMet ENACTS ENACTS_v1 ALL Temperature monthly c9120 tmean ] - max over T[Jan, Dec]
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 X
Y
- Differentiate along X
Y
- Take differences along X
Y
Average over
X
Y
|
X Y
|
RMS (root mean square with mean *not* removed) over
X
Y
|
X Y
|
RMSA (root mean square with mean removed) over
X
Y
|
X Y
|
Maximum over
X
Y
|
X Y
|
Minimum over
X
Y
|
X Y
|
Detrend (best-fit-line) over
X
Y
|
X Y
|
Note on units