data: IRI FD CPT Indonesia PredErrorVars

served from IRI/LDEO Climate Data Library

IRI FD CPT Indonesia PredErrorVars: prediction error variance data

Indonesia prediction error variance from IRI FD CPT: Climate Prediction Tool.

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
Start time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jun 2010) to (0000 1 Sep 2012) by 1.0 N= 28 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (90.25E) to (164.75E) by 0.5 N= 150 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (13.25N) to (9.75S) by 0.5 N= 47 pts :grid

Other Info

bufferwordsize: 4
datatype: realarraytype
missing_value: -999.0
pointwidth: 0
scale_min: 0.0
units: mm /month
standard units*: 0.012 meter year^-1

Last updated: Fri, 11 Jun 2021 17:23:01 GMT
Expires: Fri, 09 Jul 2021 00:00:00 GMT

Data Views

	L	S	X	Y
IRI FD CPT Indonesia PredErrorVars[ 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