data: max $integral dY$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities-Categories ]

max ∫dY [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities-Categories ] : Probabilidades - Categorías data

Probabilities-Categories int_dY Probabilidades - Categorías from NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast: Forecast and Error. is

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -1.0
missing_value: NaN
units: 0.000174532925199433 radian north
history: max over X[119.9W, 70W] Y[40N, 5S] C[Bajo, Sobre] S[0000 1 Nov 2015, 0000 1 May 2023]

Last updated: Thu, 27 Jul 2023 16:42:19 GMT
Expires: Thu, 09 Feb 2023 00:00:00 GMT

Data Views

	L
max $integral dY$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities-Categories ] 2.5 months[ \| L]	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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units