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mean root mean sq anom ∂S [ ZMD CPT GFDL-CM2p5-FLOR-A06 Mu ] : ∂S Forecast data
CPT GFDL-CM2p5-FLOR-A06 Mu partial_S partial_S ∂S Forecast from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (20.1E) to (33.9E) by 0.2509091 N= 56 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- mean root mean sq anom $partialdiff sub S$ [ ZMD CPT GFDL-CM2p5-FLOR-A06 Mu ]
- Averaged over Y[8.1S, 17.9S] minimum 0.0% data present
Averaged over S[Aug 2020, Nov 2021] minimum 0.0% data present
- Averaged over Y[8.1S, 17.9S] minimum 0.0% data present
Last updated: Thu, 10 Feb 2022 00:03:57 GMT
Expires: Sat, 12 Mar 2022 00:00:00 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 X
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units