## mean root mean sq mean *∫dT* [ *∫dY* ( Morliere taux ) climatology ] : zonal wind stress data

taux int_dY int_dY int_dT int_dT 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.

is
### Independent Variables (Grids)

### Other Info

*bufferwordsize*- 8
*CE*- null
*CS*- null
*datatype*- doublearraytype
*units*- 0.000145444104332861 kilogram meter
^{-1} radian north second^{-2} year *history* - $integral dT$ [ $integral dY$ ( Morliere taux ) climatology ]
- Wind stresses from Alain Morliere's model.

Averaged over T2[1981, 1989]

mean $integral dT$ [ $integral dY$ ( Morliere taux ) climatology ] - Averaged over X[102W, 22E]

root mean sq mean $integral dT$ [ $integral dY$ ( Morliere taux ) climatology ] - Averaged over T[Jan 1960, Dec 1960]

mean root mean sq mean $integral dT$ [ $integral dY$ ( Morliere taux ) climatology ] - Averaged over Y[36S, 58N]

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