data: $partialdiff sub T$ $partialdiff sub X$ $partialdiff sub Y$ $integral dY$ [ Morliere taux ] climatology

served from IRI/LDEO Climate Data Library

∂_T ∂_X ∂_Y ∫dY [ Morliere taux ] climatology: ∂_T ∂_X ∂_Y zonal wind stress data

taux int_dY partial_Y partial_X partial_T ∂_T ∂_X ∂_Y zonal wind stress from Morliere: Zonal and meridional wind stress data for the Atlantic and Eastern Pacific Oceans from Alain Morliere\'s model.

Independent Variables (Grids)

Time (time): grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (100W) to (20E) by 2.0 N= 61 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (35S) to (57N) by 2.0 N= 47 pts :grid

Other Info

CE

null

CS

null

datatype

realarraytype

units

68.7549354156988 kilogram meter^-1 radian^-1 east second^-2 year^-1

history

$partialdiff sub T$ $partialdiff sub X$ $partialdiff sub Y$ $integral dY$ [ Morliere taux ] climatology

Wind stresses from Alain Morliere's model.
Averaged over T2[16 Jan 1981 - 15 Jan 1982, 16 Jan 1989 - 15 Jan 1990]

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	T	X	Y
$partialdiff sub T$ $partialdiff sub X$ $partialdiff sub Y$ $integral dY$ [ Morliere taux ] climatology[ X Y T \|]	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 T
Differentiate along X Y T
Take differences along X Y T

∂T ∂X ∂Y ∫dY [ Morliere taux ] climatology: ∂T ∂X ∂Y zonal wind stress data

Independent Variables (Grids)

Other Info

Data Views

Filters

∂_T ∂_X ∂_Y ∫dY [ Morliere taux ] climatology: ∂_T ∂_X ∂_Y zonal wind stress data