data: mean [ IRI CPT JAS WDF Forecast PredErrVar

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mean [ IRI CPT JAS WDF Forecast PredErrVar_WDF ]: Wet day frequency prediction error variance data

PredErrVar_WDF Wet day frequency prediction error variance from IRI CPT JAS WDF Forecast: Forecast and Error. is

Independent Variables (Grids)

Other Info

bufferwordsize: 8
CE: null
colorscalename: precip_colors
CS: null
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
units: days²
standard units*: 7464960000 second²
history: Averaged over X[17W, 20E] Y[5N, 20N] S[0000 1 Apr 2015, 0000 1 Apr 2018] minimum 0.0% data present

Last updated: Fri, 01 Jun 2018 13:30:16 GMT

Data Views

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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