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

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

Mu Pronóstico from NextGen CPT 0p1 Guatemala REALTIME 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 Jul 2023) (0000 1 Aug 2023) (0000 1 Sep 2023) (0000 1 Oct 2023) (0000 1 Nov 2023) (0000 1 Dec 2023) (0000 1 Jan 2024)] :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, 15 Jan 2024 10:07:25 GMT
Expires: Wed, 09 Aug 2023 00:00:00 GMT

Data Views

	L	S	X	Y
NextGen CPT 0p1 Guatemala REALTIME[NextGen Models ]
NextGen CPT 0p1 Guatemala REALTIME 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