min detrended-bfl root mean sq anom root mean sq ∂X detrended-bfl detrended-bfl ∫dY [ Morliere taux ] : ∂X zonal wind stress data
taux int_dY adif adif partial_X partial_X partial_X partial_X adif
∂X 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
- dynes /cm2
- standard units*
- 0.1 kilogram meter-1 second-2
- history
- root mean sq $partialdiff sub X$ detrended-bfl detrended-bfl $integral dY$ [ Morliere taux ]
- Wind stresses from Alain Morliere's model.
Averaged over Y[36S, 58N]
detrended-bfl root mean sq anom root mean sq $partialdiff sub X$ detrended-bfl detrended-bfl $integral dY$ [ Morliere taux ] Jan 1990- Averaged over X[99W, 19E]
min detrended-bfl root mean sq anom root mean sq $partialdiff sub X$ detrended-bfl detrended-bfl $integral dY$ [ Morliere taux ] - min over T[Jan 1981, Jan 1990]
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