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root mean sq ∂X [ IRI CPT SOND History PearsonR_prcp ] : ∂X Precipitation Pearson's Correlation data
PearsonR_prcp partial_X ∂X Precipitation Pearson's Correlation from IRI CPT SOND History: Predicand, Hindcast and Skill.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.975S) to (1.025S) by 0.05 N= 40 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- correlationcolorscale
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 57.2957795130823 radian-1 east
- history
- Averaged over X[28.525E, 30.975E]
Last updated: Wed, 11 Dec 2019 13:31:54 GMT
Data Views
Views
line plots
color bars
scatter| Y | |
 IRI CPT SOND[Forecast
History
] | |
 root mean sq $partialdiff sub X$ [ IRI CPT SOND History PearsonR_prcp ] [ Y |] | 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 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