∂_{T} ∂_{X} mean ∂_{T} detrendedbfl ∫dT [ Morliere taux ] : ∂_{T} ∂_{X} ∂_{T} zonal wind stress data
taux int_dT adif partial_T partial_T partial_T partial_X
∂_{T} ∂_{X} ∂_{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 (16 Jan 1981  15 Feb 1981) to (16 Dec 1989  15 Jan 1990) by 1.0 N= 108 pts :grid
 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
 68.7549354156988 kilogram meter^{1} radian^{1} east second^{2} year^{1}
 history
 $partialdiff sub T$ $partialdiff sub X$ mean $partialdiff sub T$ detrendedbfl $integral dT$ [ Morliere taux ]
 Wind stresses from Alain Morliere's model.
Averaged over Y[35S, 57N]
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
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