data: min [ ICPAC Forecasts CPT Rainfall Seasonal History PearsonR ]

min [ ICPAC Forecasts CPT Rainfall Seasonal History PearsonR ]: Pearson correlation skill values data

PearsonR Pearson correlation skill values from ICPAC Forecasts CPT Rainfall Seasonal History: Predictand, Hindcast and Skill. is

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid

Other Info

bufferwordsize: 8
CE: 1
colorscalename: correlationcolorscale
CS: -1
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
scale_max: 1.0
scale_min: -1.0
units: unitless
history: min over X[22E, 51.25E] Y[11.5S, 23N] S[0000 1 Jan, 0000 1 Dec]
colorscale

Last updated: Thu, 25 Feb 2021 08:46:12 GMT

Data Views

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min [ ICPAC Forecasts CPT Rainfall Seasonal History PearsonR ] 2.5 months[ \| L]	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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units