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

served from IRI/LDEO Climate Data Library

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

taux int_dY adif int_dX 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 1960-01-01) ordered (Jan 1981) to (Jan 1990) by 1.0 N= 109 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (102W) to (22E) by 2.0 N= 63 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

units

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

history

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

Wind stresses from Alain Morliere's model.
Averaged over Y[36S, 58N]

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

Data Views

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

Average over X T | X T |
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |

Note on units