data: mean [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast PredErrorVars ]

mean [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast PredErrorVars ]: prediction error variance data

PredErrorVars prediction error variance from NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Longitud (longitude): grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: rainbowcolorscale
CS: null
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 256
missing_value: NaN
pointwidth: 0
units: mm² /day²
standard units*: 1.33959190672154×10^-16 meter² second^-2
history: Averaged over Y[11.5N, 19.5N] S[0000 1 Jan 2019, 0000 1 Nov 2021] minimum 0.0% data present

Last updated: Wed, 24 Nov 2021 15:09:47 GMT
Expires: Wed, 09 Sep 2020 00:00:00 GMT

Data Views

	L	X
mean [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast PredErrorVars ] 2.5 months[ X \| L]	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 X
Differentiate along X
Take differences along X