data: root mean sq root mean sq $integral dT$ $integral dY$ [ Morliere taux ]

served from IRI/LDEO Climate Data Library

root mean sq root mean sq ∫dT ∫dY [ Morliere taux ] : zonal wind stress data

taux int_dY int_dT int_dT 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)

Longitude (longitude): grid: /X (degree_east) ordered (101W) to (21E) by 2.0 N= 62 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

units

0.000145444104332861 kilogram meter^-1 radian north second^-2 year

history

root mean sq $integral dT$ $integral dY$ [ Morliere taux ]

Wind stresses from Alain Morliere's model.
Averaged over T[0000 1 Jan 1981, 0000 1 Feb 1990]

root mean sq root mean sq $integral dT$ $integral dY$ [ Morliere taux ]

Averaged over Y[36S, 58N]

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

Data Views

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root mean sq root mean sq $integral dT$ $integral dY$ [ Morliere taux ] [ X \|]	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
Differentiate along X
Take differences along X