data: NextGen CPT Estacional CHIRPS Guatemala REALTIMEL4 Models COLA-RSMAS-CCSM4 History hindcast

NextGen CPT Estacional CHIRPS Guatemala REALTIMEL4 Models COLA-RSMAS-CCSM4 History hindcast_length: Length of hindcast time data

Length of hindcast time from NextGen CPT Estacional CHIRPS Guatemala REALTIMEL4 Models COLA-RSMAS-CCSM4 History: Predictand, Hindcast and Skill.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Hindcast Issue Date: grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1983) to (0000 1 Dec 2009) by 1.0 N= 324 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
missing_value: NaN
pointwidth: 1.0
units: days
standard units*: 86400 second
history: Averaged in T with overlapping interval 3

Last updated: Tue, 14 Feb 2023 21:52:41 GMT

Data Views

	L	S
NextGen CPT Estacional CHIRPS Guatemala REALTIMEL4 Models COLA-RSMAS-CCSM4 History[InputObs CrossValHind hindcast_length hindcast_date ]
NextGen CPT Estacional CHIRPS Guatemala REALTIMEL4 Models COLA-RSMAS-CCSM4 History hindcast_length 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