data: $integral dY$ root mean sq root mean sq detrended-bfl detrended-bfl $integral dY$ [ Morliere taux ]

served from IRI/LDEO Climate Data Library

∫dY root mean sq root mean sq detrended-bfl detrended-bfl ∫dY [ Morliere taux ] : zonal wind stress data

taux int_dY adif adif adif adif 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)

Latitude (latitude): grid: /Y (degree_north) ordered (37S) to (59N) by 2.0 N= 49 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

units

3.04617419786709×10^-05 kilogram meter^-1 radian² north second^-2

history

root mean sq detrended-bfl detrended-bfl $integral dY$ [ Morliere taux ]

Wind stresses from Alain Morliere's model.
Averaged over X[102W, 22E]

$integral dY$ root mean sq root mean sq detrended-bfl detrended-bfl $integral dY$ [ Morliere taux ]

Averaged over T[Jan 1981, Jan 1990]

Last updated: Mon, 12 Sep 2016 21:27:18 GMT

Data Views

	Y
$integral dY$ root mean sq root mean sq detrended-bfl detrended-bfl $integral dY$ [ Morliere taux ] [ Y \|]	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 Y
Differentiate along Y
Take differences along Y