data: NextGen CPT Estacional CHIRPS Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast target

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NextGen CPT Estacional CHIRPS Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast target_date: forecast time data

forecast time from NextGen CPT Estacional CHIRPS Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jun 2021) to (0000 1 Nov 2021) by 1.0 N= 6 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
gridid: 172848568
pointwidth: 3
scale_max: null
scale_min: null
standard_name: forecast_reference_time
units: months since 1960-01-01
standard units*: 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )

Last updated: Thu, 17 Feb 2022 19:28:47 GMT

Data Views

	L	S
NextGen CPT Estacional CHIRPS Guatemala V2 Models COLA-RSMAS-CCSM4 Forecast target_date 2.5 months[ S 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 S
Differentiate along S
Take differences along S