data: root mean sq [ NextGen CPT 1p0 Guatemala COLA-RSMAS-CCSM4 Forecast PredErrorVars ]

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root mean sq [ NextGen CPT 1p0 Guatemala COLA-RSMAS-CCSM4 Forecast PredErrorVars ]: prediction error variance data

PredErrorVars prediction error variance from NextGen CPT 1p0 Guatemala COLA-RSMAS-CCSM4 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 Sep 2021] minimum 0.0% data present

Last updated: Fri, 10 Sep 2021 03:56:00 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT

Data Views

	L	X
root mean sq [ NextGen CPT 1p0 Guatemala COLA-RSMAS-CCSM4 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