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root mean sq [ ANACIM ENACTS version1 ALL dekadal tmin climatology ]: Tmin reanalysis merged with station data
version1 ALL dekadal tmin tmin Tmin reanalysis merged with station 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 (12.225N) to (16.8N) by 0.03749999 N= 123 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- windspeed_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99
- maxncolor
- 254
- missing_value
- NaN
- units
- Celsius_scale
- standard units*
- degree_Kelvin above 273.15
- history
- root mean sq [ ANACIM ENACTS version1 ALL dekadal tmin climatology ]
- Averaged over T2[1981, 2357 30 Dec 2015 - 2357 30 Dec 2016] minimum 0.0% data present
Averaged over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan] minimum 0.0% data present
- Averaged over T2[1981, 2357 30 Dec 2015 - 2357 30 Dec 2016] minimum 0.0% data present
Last updated: Thu, 26 Oct 2023 14:58:08 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