data: max $integral dX$ [ NextGen CPT Estacional CPC Guatemala GFDL-CM2p5-FLOR-A06 Forecast PredErrorVars ]

max ∫dX [ NextGen CPT Estacional CPC Guatemala GFDL-CM2p5-FLOR-A06 Forecast PredErrorVars ] : prediction error variance data

PredErrorVars int_dX prediction error variance from NextGen CPT Estacional CPC Guatemala GFDL-CM2p5-FLOR-A06 Forecast: Forecast and Error. is

Independent Variables (Grids)

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

Other Info

bufferwordsize: 8
CE: null
colorscalename: rainbowcolorscale
CS: 0
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 256
missing_value: NaN
pointwidth: 0
units: 2.33802894053596×10^-18 meter² radian east second^-2
history: max over X[94.5W, 86.5W] Y[12N, 19N] S[0000 1 Jan 2019, 0000 1 Jan 2021]

Last updated: Wed, 06 Jan 2021 16:05:25 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT

Data Views

	L
max $integral dX$ [ NextGen CPT Estacional CPC Guatemala GFDL-CM2p5-FLOR-A06 Forecast PredErrorVars ] 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