## min *∂*_{T} min [ root mean sq anom *∫dY* ( Morliere taux ) climatology ] : *∂*_{T} zonal wind stress data

taux int_dY int_dY int_dY min partial_T

*∂*_{T} zonal wind stress from Morliere: Zonal and meridional wind stress data for the Atlantic and Eastern Pacific Oceans from Alain Morliere\'s model.

is
### Independent Variables (Grids)

### Other Info

*CE*- null
*CS*- null
*datatype*- realarraytype
*units*- 0.020943951023932 kilogram meter
^{-1} radian north second^{-2} year^{-1} *history* - root mean sq anom $integral dY$ [ Morliere taux ]
- Wind stresses from Alain Morliere's model.

Averaged over Y[36S, 58N]

root mean sq anom $integral dY$ [ Morliere taux ] climatology- Averaged over T2[1981, 1989]

$partialdiff sub T$ min [ root mean sq anom $integral dY$ ( Morliere taux ) climatology ] - min over X[101W, 21E]

min $partialdiff sub T$ min [ root mean sq anom $integral dY$ ( Morliere taux ) climatology ] - min over T[16 Dec - 15 Jan, 16 Nov - 15 Dec]

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

## 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
- Differentiate along
- Take differences along

Average over

RMS (root mean square with mean *not* removed) over

RMSA (root mean square with mean removed) over

Maximum over

Minimum over

Detrend (best-fit-line) over

Note on units