data: NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast target

NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast target_length: Length of forecast time data

Length of forecast time from NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 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 Nov 2015) to (0000 1 Jul 2023) by 1.0 N= 93 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: Thu, 26 Jan 2023 21:15:02 GMT

Data Views

	L	S
NextGen CPT Estacional CHIRPS Guatemala REALTIME1[NextGen1 Models1 ]
NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast target_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