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∂Y mean mean [ ESGF-CORDEX Africa rcp85 CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmax ] : ∂Y near surface maximum temperature data
∂Y mean mean [ ESGF-CORDEX Africa rcp85 CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmax ] .Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (45.54S) to (42.02N) by 0.44 N= 200 pts :grid
Other Info
- CE
- null
- colorscalename
- temp_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- pointwidth
- 0
- units
- 57.2957795130823 degree_Kelvin radian-1 north
- history
- $partialdiff sub Y$ mean mean [ ESGF-CORDEX Africa rcp85 CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmax ]
- Averaged over T[1200 31 Dec 2005 - 1200 1 Jan 2006, 2400 31 Dec 2100]
Averaged over X[24.86W, 60.5E]
- Averaged over T[1200 31 Dec 2005 - 1200 1 Jan 2006, 2400 31 Dec 2100]
Last updated: Thu, 11 Feb 2021 07:26:29 GMT
Data Views
Views
line plots
color bars
scatter
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 Y
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units