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∂T detrended-bfl [ ESGF-CORDEX Africa rcp45 SMHI-RCA4_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 precipitation ] : ∂T precipitation data
∂T detrended-bfl [ ESGF-CORDEX Africa rcp45 SMHI-RCA4_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 precipitation ] .Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (1200 1 Jan 2006 - 1200 2 Jan 2006) to (1200 30 Dec 2100 - 1200 31 Dec 2100) by 1.0 N= 34697 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
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- pointwidth
- 0
- units
- 1.33959190672154×10-13 meter second-2
Last updated: Wed, 17 Jul 2019 13:45:11 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ detrended-bfl [ ESGF-CORDEX Africa rcp45 SMHI-RCA4_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