min mean ∂T ∫dT detrended-bfl ∫dY detrended-bfl ∫dT [ Morliere taux ] : ∂T zonal wind stress data
taux int_dT adif int_dY adif int_dT partial_T partial_T 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.
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (100W) to (20E) by 2.0 N= 61 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- units
- 0.000145444104332861 kilogram meter-1 radian north second-2 year
- history
- mean $partialdiff sub T$ $integral dT$ detrended-bfl $integral dY$ detrended-bfl $integral dT$ [ Morliere taux ] 16 Jan 1990 - 15 Feb 1990
- Wind stresses from Alain Morliere's model.
Averaged over Y[36S, 58N]
min mean $partialdiff sub T$ $integral dT$ detrended-bfl $integral dY$ detrended-bfl $integral dT$ [ Morliere taux ] - min over T[16 Dec 1980 - 15 Jan 1981, 16 Jan 1990 - 15 Feb 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 X
- Differentiate along X
- Take differences along X
Average over
X
|
RMS (root mean square with mean *not* removed) over
X
|
RMSA (root mean square with mean removed) over
X
|
Maximum over
X
|
Minimum over
X
|
Detrend (best-fit-line) over
X
|
Note on units