data: IRI FD CPT Indonesia APHR_obs History InputObs

served from IRI/LDEO Climate Data Library

IRI FD CPT Indonesia APHR_obs History InputObs: input observations data

input observations from IRI FD CPT Indonesia APHR_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 2006) by 1.0 N= 300 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (90.125E) to (149.875E) by 0.25 N= 240 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (13.375N) to (9.875S) by 0.25 N= 94 pts :grid

Other Info

bufferwordsize: 4
CE: 16
colorscalename: precip_colors
CS: 0
datatype: realarraytype
maxncolor: 254
missing_value: -999.0
pointwidth: 0
scale_max: 16.0
scale_min: 0.0
units: mm /day
standard units*: 1.15740740740741×10^-08 meter second^-1
colorscale

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

Data Views

	L	S	X	Y
IRI FD CPT Indonesia APHR_obs History InputObs[ 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