data: $integral dX$ [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PredErrorVars ]

∫dX [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PredErrorVars ]: prediction error variance data

PredErrorVars prediction error variance from NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2019) to (0000 1 Jan 2021) by 1.0 N= 25 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (94.5W) to (86.5W) by 1.0 N= 9 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: rainbowcolorscale
CS: 0
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 256
missing_value: NaN
pointwidth: 0
units: 2.33802894053596×10^-18 meter² radian east second^-2

Last updated: Wed, 06 Jan 2021 16:05:25 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT

Data Views

	L	S	X	Y
$integral dX$ [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PredErrorVars ] 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