root mean sq anom ∂_{T} ∫dT ∂_{Y} ∂_{T} detrendedbfl ∫dT [ Morliere taux ] : ∂_{T} ∂_{Y} ∂_{T} zonal wind stress data
taux int_dT adif adif partial_T partial_Y int_dT partial_T
∂_{T} ∂_{Y} ∂_{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 19600101) ordered (Jan 1981) to (Jan 1990) by 1.0 N= 109 pts :grid
 Longitude (longitude)
 grid: /X (degree_east) ordered (100W) to (20E) by 2.0 N= 61 pts :grid
Other Info
 bufferwordsize
 8
 CE
 null
 CS
 null
 datatype
 doublearraytype
 units
 5.72957795130823 kilogram meter^{1} radian^{1} north second^{2}
 history
 root mean sq anom $partialdiff sub T$ $integral dT$ $partialdiff sub Y$ $partialdiff sub T$ detrendedbfl $integral dT$ [ Morliere taux ]
 Wind stresses from Alain Morliere's model.
Averaged over Y[34S, 56N]
Last updated: Mon, 12 Sep 2016 21:27:18 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
T
 Differentiate along X
T
 Take differences along X
T
Average over
X
T

X T

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

X T

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

X T

Maximum over
X
T

X T

Minimum over
X
T

X T

Detrend (bestfitline) over
X
T

X T

Note on units