∫dT root mean sq anom ∫dT detrendedbfl detrendedbfl ∂_{X} detrendedbfl detrendedbfl ∫dY [ Morliere taux ] : ∂_{X} zonal wind stress data
taux int_dY adif adif partial_X partial_X adif adif int_dT int_dT
∂_{X} 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 (0000 16 Dec 1980) to (0000 16 Feb 1990) by 1.0 N= 111 pts :grid
 Longitude (longitude)
 grid: /X (degree_east) ordered (99W) to (19E) by 2.0 N= 60 pts :grid
Other Info
 bufferwordsize
 8
 CE
 null
 CS
 null
 datatype
 doublearraytype
 units
 0.000694444444444444 kilogram meter^{1} second^{2} year^{2}
 history
 $integral dT$ root mean sq anom $integral dT$ detrendedbfl detrendedbfl $partialdiff sub X$ detrendedbfl detrendedbfl $integral dY$ [ Morliere taux ]
 Wind stresses from Alain Morliere's model.
Averaged over Y[36S, 58N]
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