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∫dY [ ESGF-CORDEX Africa rcp85 CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmax ]: near surface maximum temperature data
∫dY [ ESGF-CORDEX Africa rcp85 CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmax ].Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1949-12-01) ordered (1 Jan 2006) to (31 Dec 2100) by 1.0 N= 34698 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (24.64W) to (60.28E) by 0.44 N= 194 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (45.98S) to (42.46N) by 0.44 N= 202 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 40
- colorscalename
- temp_colors
- CS
- -40
- datatype
- doublearraytype
- maxncolor
- 254
- pointwidth
- 0
- units
- 0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north
- colorscale
Last updated: Thu, 11 Feb 2021 07:26:29 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dY$ [ ESGF-CORDEX Africa rcp85 CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmax ][ X Y | T] | M | M | M |
|---|
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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units