data: $integral dS$ [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ]

served from 45.183.221.150

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

∫dS [ 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 (months since 1960-01-01) ordered (0000 16 Dec 2018) to (0000 16 Jan 2021) by 1.0 N= 26 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (92W) to (88W) by 1.0 N= 5 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (13N) to (18N) by 1.0 N= 6 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: prcp_anomaly
CS: null
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
units: 8.33333333333333×10^-05 meter year
history: Averaged over S2[16 Dec 1982 - 15 Dec 1983, 16 Dec 2008 - 15 Dec 2009] 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	X	Y
$integral dS$ [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ] 2.5 months[ X Y \| L S]	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