root mean sq root mean sq ∂T [ ESGF-CORDEX Africa rcp45 SMHI-RCA4_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmin ] : ∂T near surface minimum temperature data
root mean sq root mean sq
∂T [ ESGF-CORDEX Africa rcp45 SMHI-RCA4_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmin ] .
Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (45.76S) to (42.24N) by 0.44 N= 201 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- temp_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- pointwidth
- 0
- units
- 1.15740740740741×10-05 degree_Kelvin second-1
- history
- root mean sq root mean sq $partialdiff sub T$ [ ESGF-CORDEX Africa rcp45 SMHI-RCA4_v1 CNRM-CERFACS-CNRM-CM5_r1i1p1 tmin ]
- Averaged over T[1200 1 Jan 2006 - 1200 2 Jan 2006, 1200 31 Dec 2100]
Averaged over X[24.86W, 60.5E]
Last updated: Wed, 17 Jul 2019 13:45:11 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 Y
- Differentiate along Y
- Take differences along Y
Average over
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