data: NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PredErrorVars

NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PredErrorVars: prediction error variance data

PredErrorVars prediction error variance from NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S (forecast_reference_time): grid: /S (days since 1960-01-01) ordered [ (0000 1 Jan 2019) (0000 1 Feb 2019) (0000 1 Mar 2019) (0000 1 Apr 2019) (0000 1 May 2019) (0000 1 Jun 2019) (0000 1 Jul 2019)] :grid
Longitud (longitude): grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 pts :grid

Other Info

bufferwordsize: 4
CE: null
colorscalename: rainbowcolorscale
CS: 0
datatype: realarraytype
maxncolor: 256
missing_value: -999.0
pointwidth: 0
scale_min: 0.0
units: mm² /day²
standard units*: 1.33959190672154×10^-16 meter² second^-2

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

Data Views

	L	S	X	Y
NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PredErrorVars 2.5 months[ X Y \| S L]	M	M	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 Y S
Differentiate along X Y S
Take differences along X Y S