data: ALISIOS NextGen CHIRPS Seasonal OLE2 COLA-RSMAS-CESM1 Skill Ignorance

ALISIOS NextGen CHIRPS Seasonal OLE2 COLA-RSMAS-CESM1 Skill Ignorance: Ignorance - CCA Deterministic Hindcasts data

Ignorance - CCA Deterministic Hindcasts from ALISIOS NextGen CHIRPS Seasonal OLE2 COLA-RSMAS-CESM1 Skill: Forecast Skills.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered (2.5 months) to (4.5 months) by 1.0 N= 3 pts :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 (117.6837W) to (28.2837W) by 0.1 N= 895 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (32.6663N) to (49.975S) by 0.10005 N= 827 pts :grid

Other Info

CE: 0.9960159
colorscalename: correlationcolorscale
CS: -0.9960159
datatype: realarraytype
maxncolor: 254
missing_value: -999
scale_max: 0.9960159
scale_min: -0.9960159
colorscale

Last updated: Sun, 15 Dec 2024 14:42:00 GMT

Data Views

	L	S	X	Y
ALISIOS NextGen CHIRPS Seasonal OLE2 COLA-RSMAS-CESM1 Skill Ignorance[ 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 L
Differentiate along X Y S L
Take differences along X Y S L