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root mean sq anom ∂X ∫dY ∂S [ ZMD CPT GFDL-CM2p5-FLOR-A06 Obs ] : ∂X ∂S Observation data
CPT GFDL-CM2p5-FLOR-A06 Obs partial_S int_dY partial_X ∂X ∂S Observation from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- S
- grid: /S (months since 1960-01-01) ordered (Jan 1982) to (Nov 2010) by 1.0 N= 347 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (18.02564S) to (7.97436S) by 0.251282 N= 41 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- Averaged over X[20.22545E, 33.77455E] minimum 0.0% data present
Last updated: Thu, 28 Jan 2021 07:10:50 GMT
Data Views
Views
data as colors
data as contours| S | Y | |
 root mean sq anom $partialdiff sub X$ $integral dY$ $partialdiff sub S$ [ ZMD CPT GFDL-CM2p5-FLOR-A06 Obs ] [ S | Y] | 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 S Y
- Differentiate along S Y
- Take differences along S Y
RMS (root mean square with mean *not* removed) over S Y | S Y |
RMSA (root mean square with mean removed) over S Y | S Y |
Maximum over S Y | S Y |
Minimum over S Y | S Y |
Detrend (best-fit-line) over S Y | S Y |
Note on units