∫dT ∂_{T} ∂_{T} [ ∂_{T} root mean sq anom ∫dT ( Morliere taux ) climatology ] : ∂_{T} ∂_{T} ∂_{T} zonal wind stress data
taux int_dT int_dT partial_T partial_T partial_T partial_T partial_T
∂_{T} ∂_{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)
 Time (time)
 grid: /T (months since 01Jan) ordered (Dec) to (Dec) by 1.0 N= 13 pts :grid
 Latitude (latitude)
 grid: /Y (degree_north) ordered (35S) to (57N) by 2.0 N= 47 pts :grid
Other Info
 bufferwordsize
 8
 CE
 null
 CS
 null
 datatype
 doublearraytype
 units
 1.2 kilogram meter^{1} second^{2} year^{1}
 history
 $partialdiff sub T$ root mean sq anom $integral dT$ [ Morliere taux ]
 Wind stresses from Alain Morliere's model.
Averaged over X[101W, 21E]
$integral dT$ $partialdiff sub T$ $partialdiff sub T$ [ $partialdiff sub T$ root mean sq anom $integral dT$ ( Morliere taux ) climatology ]  Averaged over T2[1981, 1989]
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 Y
T
 Differentiate along Y
T
 Take differences along Y
T
Average over
Y
T

Y T

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

Y T

RMSA (root mean square with mean removed) over
Y
T

Y T

Maximum over
Y
T

Y T

Minimum over
Y
T

Y T

Detrend (bestfitline) over
Y
T

Y T

Note on units