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mean ∫dY [ ANACIM ENACTS version2 ALL dekadal climatologies tmean ] : Mean Temperature data
version2 ALL dekadal climatologies tmean int_dY Mean Temperature from ANACIM ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (17.5875W) to (11.2125W) by 0.0375 N= 171 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (12.20625N) to (16.81875N) by 0.0375 N= 124 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- temp_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north
- history
- mean $integral dY$ [ ANACIM ENACTS version2 ALL dekadal climatologies tmean ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T[1-10 Jan, 2400 31 Dec] minimum 0.0% data present
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Wed, 01 Nov 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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
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