data: $integral dS$ S

served from IRI/LDEO Climate Data Library

∫dS S: ∫dS S data

∫dS S.

Independent Variables (Grids)

Forecast Start Time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 Apr 2024) by 1.0 N= 508 pts :grid

Other Info

bufferwordsize: 8
calendar: 360
datatype: doublearraytype
gridid: 181797600
scale_max: null
scale_min: null
standard_name: forecast_reference_time
units: 0.00694444444444444 ( year above 2000 ) year

Last updated: Thu, 04 Apr 2024 20:23:18 GMT
Expires: Wed, 01 May 2024 00:42:00 GMT

Data Views

	L	M	P	S	X	Y
Models NMME COLA-RSMAS-CCSM4 MONTHLY gz 200 hPa[ X Y \| P M L S]	M	M	M	M	M	M
grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid	M
grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 Apr 2024) by 1.0 N= 508 pts :grid				M
grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid		M
$partialdiff sub S$ S[ S \|]				O=-0.5
grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid		M
grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid						M
grid: /S (months since 1960-01-01) ordered (Jan 1982) to (Mar 2024) by 1.0 N= 507 pts :grid				O=-0.5
grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid					M
grid: /S (months since 1960-01-01) ordered (Jan 1982) to (Mar 2024) by 1.0 N= 507 pts :grid				O=-0.5
grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid	M
grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid						M
$integral dS$ S[ S \|]				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
Differentiate along S
Take differences along S