## max max *∂*_{Y} root mean sq [ *∫dT* ( Morliere taux ) anomalies ] : *∂*_{Y} zonal wind stress data

taux int_dT int_dT int_dT partial_Y max

*∂*_{Y} 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*- 0.477464829275686 kilogram meter
^{-1} radian^{-1} north second^{-2} year *history* - $integral dT$ [ Morliere taux ]

Wind stresses from Alain Morliere's model.

- $integral dT$ [ Morliere taux ] climatology
- Wind stresses from Alain Morliere's model.

Averaged over T2[16 Dec 1980 - 15 Dec 1981, 16 Dec 1988 - 15 Dec 1989]

$partialdiff sub Y$ root mean sq [ $integral dT$ ( Morliere taux ) anomalies ] - Averaged over T[0000 1 Jan 1981, 0000 1 Feb 1990]

max $partialdiff sub Y$ root mean sq [ $integral dT$ ( Morliere taux ) anomalies ] - max over X[101W, 21E]

max max $partialdiff sub Y$ root mean sq [ $integral dT$ ( Morliere taux ) anomalies ] - max over Y[34S, 56N]

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