data: root mean sq anom $integral dS$ [ NextGen CPT Estacional CPC Guatemala CMC1-CanCM3 Forecast PredErrorVars ]

root mean sq anom ∫dS [ NextGen CPT Estacional CPC Guatemala CMC1-CanCM3 Forecast PredErrorVars ] : prediction error variance data

PredErrorVars int_dS prediction error variance from NextGen CPT Estacional CPC Guatemala CMC1-CanCM3 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: 1.11632658893461×10^-17 meter² second^-2 year
history: Averaged over Y[12N, 19N] S[0000 16 Dec 2018, 0000 16 Jul 2019] minimum 0.0% data present

Last updated: Fri, 10 Apr 2020 20:38:02 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT

Data Views

	L	X
root mean sq anom $integral dS$ [ NextGen CPT Estacional CPC Guatemala CMC1-CanCM3 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