data: NextGen CPT Estacional CHIRPS Guatemala V2 Models NASA-GEOSS2S Skill ROCAbove

NextGen CPT Estacional CHIRPS Guatemala V2 Models NASA-GEOSS2S Skill ROCAbove: ROC Above - CCA Deterministic Hindcasts data

ROC Above - CCA Deterministic Hindcasts from NextGen CPT Estacional CHIRPS Guatemala V2 Models NASA-GEOSS2S Skill: Forecast Skills.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S: grid: /S (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :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 (39.95N) to (4.95S) by 0.1 N= 450 pts :grid

Other Info

CE: 100.0
colorscalename: correlationcolorscale
CS: 0.0
datatype: realarraytype
file_missing_value: -999
maxncolor: 254
missing_value: NaN
scale_max: 100.0
scale_min: 0.0
colorscale

Last updated: Thu, 17 Feb 2022 19:29:01 GMT

Data Views

	L	S	X	Y
NextGen CPT Estacional CHIRPS Guatemala V2 Models NASA-GEOSS2S Skill[ROCBelow ROCAbove 2AFC Spearman ]
grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid			M
grid: /Y (degree_north) ordered (39.95N) to (4.95S) by 0.1 N= 450 pts :grid				M
grid: /S (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid		M
NextGen CPT Estacional CHIRPS Guatemala V2 Models NASA-GEOSS2S Skill ROCAbove 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