data: IRI FD CPT Indonesia CMAP_obs History CrossValHind

served from IRI/LDEO Climate Data Library

IRI FD CPT Indonesia CMAP_obs History CrossValHind: cross-validated hindcasts data

cross-validated hindcasts from IRI FD CPT Indonesia CMAP_obs History: Predicand, Hindcast and Skill.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered (2.5 months) to (5.5 months) by 1.0 N= 4 pts :grid
S: grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 Dec 2007) by 1.0 N= 312 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (91.25E) to (163.75E) by 2.5 N= 30 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (11.25N) to (8.75S) by 2.5 N= 9 pts :grid

Other Info

bufferwordsize: 4
datatype: realarraytype
missing_value: -999.0
pointwidth: 0
units: mm /day
standard units*: 1.15740740740741×10^-08 meter second^-1

Last updated: Fri, 11 Jun 2021 17:23:01 GMT

Data Views

	L	S	X	Y
IRI FD CPT Indonesia CMAP_obs History CrossValHind[ S \| X Y 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 S X Y L
Differentiate along S X Y L
Take differences along S X Y L