data: mean $integral dS$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Forecast ]

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mean ∫dS [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Forecast ] : Pronóstico data

Forecast int_dS Pronóstico from NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Latitud (latitude): grid: /Y (degree_north) ordered (4.95S) to (39.95N) by 0.1 N= 450 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

maxncolor

254

missing_value

NaN

units

8.33333333333333×10^-05 meter year

history

mean $integral dS$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Forecast ]

S: 0000 1 Nov 2015 to 0000 1 May 2023 appended from NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Forecast
Averaged over X[119.95W, 69.95W] S[0000 16 Nov 2020, 0000 16 May 2023] minimum 0.0% data present

Last updated: Mon, 20 Mar 2023 20:23:28 GMT

Data Views

	L	Y
mean $integral dS$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Forecast ] 2.5 months[ Y 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 Y
Differentiate along Y
Take differences along Y