data: mean [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ]

served from 45.183.221.150

mean [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ]: Anomalía data

mean [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ].

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S: grid: /S (days since 1960-01-01) ordered [ (0000 16 Jan 2019) (0000 16 Feb 2019) (0000 16 Mar 2019) (0000 16 Apr 2019) (0000 16 May 2019) (0000 16 Jun 2019) (0000 16 Jul 2019) (0000 16 Aug 2019) (0000 16 Sep 2019) (0000 16 Oct 2019) (0000 16 Nov 2019) (0000 16 Dec 2019) (0000 16 Jan 2020) (0000 16 Feb 2020) (0000 16 Mar 2020) (0000 16 Apr 2020) (0000 16 May 2020) (0000 16 Jun 2020) (0000 16 Jul 2020) (0000 16 Aug 2020) (0000 16 Sep 2020) (0000 16 Oct 2020) (0000 16 Nov 2020) (0000 16 Dec 2020)] :grid

Other Info

CE

null

colorscalename

prcp_anomaly

CS

null

datatype

realarraytype

file_missing_value

-999.0

maxncolor

254

missing_value

NaN

pointwidth

units

standard units*

0.001 meter

history

mean [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ]

Averaged over S2[16 Dec 1982 - 15 Dec 1983, 16 Dec 2008 - 15 Dec 2009] minimum 0.0% data present
Averaged over X[92.5W, 87.5W] Y[12.5N, 18.5N] minimum 0.0% data present

Last updated: Fri, 05 Nov 2021 18:02:01 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT

Data Views

	L	S
mean [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ] 2.5 months[ \| L S]	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 S
Differentiate along S
Take differences along S