data: min $integral dS$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen History InputObs ]

served from 45.183.221.150

min ∫dS [ NextGen CPT Estacional CHIRPS Guatemala NextGen History InputObs ] : input observations data

InputObs int_dS input observations from NextGen CPT Estacional CHIRPS Guatemala NextGen History: Predictand, Hindcast .

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: 8
CE: null
colorscalename: precip_colors
CS: null
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
units: 8.33333333333333×10^-05 meter year
history: min over S[0000 16 Dec 1982, 0000 16 Dec 2009] X[119.9W, 70W]

Last updated: Thu, 27 Jul 2023 14:53:20 GMT

Data Views

	L	Y
min $integral dS$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen History InputObs ] 2.5 months[ \| L Y]	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