root mean sq anom root mean sq anom ∫dY [ ESGF-CORDEX Africa rcp85 CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmin ] : near surface minimum temperature data
root mean sq anom root mean sq anom
∫dY [ ESGF-CORDEX Africa rcp85 CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmin ] .
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
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- temp_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- pointwidth
- 0
- units
- 0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north
- history
- root mean sq anom root mean sq anom $integral dY$ [ ESGF-CORDEX Africa rcp85 CLMcom-CCLM4-8-17_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmin ]
- Averaged over X[24.64W, 60.28E]
Averaged over Y[45.98S, 42.46N]
Last updated: Thu, 11 Feb 2021 07:26:29 GMT
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 T
- Differentiate along T
- Take differences along T
Average over
T
|
RMS (root mean square with mean *not* removed) over
T
|
RMSA (root mean square with mean removed) over
T
|
Maximum over
T
|
Minimum over
T
|
Detrend (best-fit-line) over
T
|
Note on units