data: NextGen CPT 0p1 Guatemala V4 Models NCEP-CFSv2 Forecast Mu

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NextGen CPT 0p1 Guatemala V4 Models NCEP-CFSv2 Forecast Mu: Pronóstico data

Mu Pronóstico from NextGen CPT 0p1 Guatemala V4 Models NCEP-CFSv2 Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S (forecast_reference_time): grid: /S (days since 1960-01-01) ordered [ (0000 1 Apr 2022) (0000 1 May 2022) (0000 1 Jun 2022) (0000 1 Jul 2022) (0000 1 Aug 2022) (0000 1 Sep 2022) (0000 1 Oct 2022) (0000 1 Nov 2022) (0000 1 Dec 2022) (0000 1 Jan 2023) (0000 1 Feb 2023) (0000 1 Mar 2023) (0000 1 Apr 2023) (0000 1 May 2023) (0000 1 Jun 2023)] :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: 500
CS: 0
datatype: realarraytype
maxncolor: 254
missing_value: -999.0
scale_max: 500.0
scale_min: 0.0
units: mm /dia
standard units*: mm /dia
colorscale

Last updated: Mon, 24 Jul 2023 02:32:31 GMT

Data Views

	L	S	X	Y
NextGen CPT 0p1 Guatemala V4[NextGen Models ]
NextGen CPT 0p1 Guatemala V4 Models NCEP-CFSv2 Forecast Mu 2.5 months[ X Y \| S L]	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