mean ∂_{T} ∫dT detrendedbfl ∫dY detrendedbfl ∫dT [ Morliere taux ] climatology: ∂_{T} zonal wind stress data
taux int_dT adif int_dY adif int_dT 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)
 Time (time)
 grid: /T (months since 01Jan) periodic (16 Dec  15 Jan) to (16 Nov  15 Dec) by 1.0 N= 12 pts :grid
 Longitude (longitude)
 grid: /X (degree_east) ordered (101W) to (21E) by 2.0 N= 62 pts :grid
Other Info
 CE
 null
 CS
 null
 datatype
 realarraytype
 units
 0.000145444104332861 kilogram meter^{1} radian north second^{2} year
 history
 mean $partialdiff sub T$ $integral dT$ detrendedbfl $integral dY$ detrendedbfl $integral dT$ [ Morliere taux ]
 Wind stresses from Alain Morliere's model.
Averaged over Y[36S, 58N]
mean $partialdiff sub T$ $integral dT$ detrendedbfl $integral dY$ detrendedbfl $integral dT$ [ Morliere taux ] climatology Averaged over T2[16 Dec 1980  15 Dec 1981, 16 Dec 1988  15 Dec 1989]
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