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∂T [ ESGF-CORDEX Africa hist CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmin ]: ∂T near surface minimum temperature data
∂T [ ESGF-CORDEX Africa hist CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmin ].Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1949-12-01) ordered (1200 1 Jan 1951 - 1200 2 Jan 1951) to (1200 30 Dec 2005 - 1200 31 Dec 2005) by 1.0 N= 20088 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 (45.76S) to (42.24N) by 0.44 N= 201 pts :grid
Other Info
- CE
- 40
- colorscalename
- temp_colors
- CS
- -40
- datatype
- realarraytype
- maxncolor
- 254
- pointwidth
- 0
- units
- 1.15740740740741×10-05 degree_Kelvin second-1
- colorscale
Last updated: Tue, 09 Feb 2021 09:35:21 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ [ ESGF-CORDEX Africa hist CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmin ][ X Y | T] | M | M | M |
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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