data: $partialdiff sub S$ S

served from IRI/LDEO Climate Data Library

∂_S S: ∂_S ∂_S S data

∂_S S.

Independent Variables (Grids)

S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (16 Jan 1982 - 15 Feb 1982) to (16 Feb 2024 - 15 Mar 2024) by 1.0 N= 506 pts :grid

Other Info

calendar: 360
datatype: realarraytype
gridid: 189253104
scale_max: null
scale_min: null
standard_name: forecast_reference_time
units: unitless

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	S	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				S
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: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid						M
grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid					M
$partialdiff sub S$ 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

∂S S: ∂S ∂S S data

Independent Variables (Grids)

Other Info

Data Views

Filters

∂_S S: ∂_S ∂_S S data