data: NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Forecast

NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Forecast: Pronóstico data

NextGen Forecast Pronóstico from NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2: Forecast: mar 2023 - Now. [Models NextGen].

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 Mar 2023) to (0000 1 Jun 2024) by 1.0 N= 16 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (4.95S) to (39.95N) by 0.1 N= 450 pts :grid

Other Info

CE: null
CS: null
datatype: realarraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
units: mm
standard units*: 0.001 meter

Last updated: Thu, 23 Mar 2023 18:56:19 GMT
Expires: Sun, 09 Apr 2023 00:00:00 GMT

Data Views

	L	S	X	Y
NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2[NextGen Models ]
NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Forecast 2.5 months[ X Y \| L S]	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