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∫dT ∂Y [ ESGF-CORDEX Africa hist CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 precipitation ] : ∂Y precipitation data
∫dT ∂Y [ ESGF-CORDEX Africa hist CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 precipitation ] .Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1949-12-01) ordered (0000 1 Jan 1951) to (0000 1 Jan 2006) by 1.0 N= 20090 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 (45.54S) to (42.02N) by 0.44 N= 200 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- pointwidth
- 0
- units
- 0.0572957795130824 meter radian-1 north
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 | |
 $integral dT$ $partialdiff sub Y$ [ ESGF-CORDEX Africa hist CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 precipitation ] [ 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