served from IRI/LDEO Climate Data Library
∫dT ∫dY ∫dY detrended-bfl [ ∂T detrended-bfl root mean sq ( Morliere taux ) climatology ] : ∂T zonal wind stress data
taux taux adif partial_T partial_T adif int_dY int_dY ∂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 1960-01-01) ordered (0000 16 Jan 1960) to (0000 16 Jan 1961) by 1.0 N= 13 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (37S) to (59N) by 2.0 N= 49 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- 3.04617419786709×10-05 kilogram meter-1 radian2 north second-2
- history
- $partialdiff sub T$ detrended-bfl root mean sq [ Morliere taux ]
- Wind stresses from Alain Morliere's model.
Averaged over X[102W, 22E]
$integral dT$ $integral dY$ $integral dY$ detrended-bfl [ $partialdiff sub T$ detrended-bfl root mean sq ( Morliere taux ) climatology ]- Averaged over T2[16 Jan 1981 - 15 Jan 1982, 16 Jan 1989 - 15 Jan 1990]
- Wind stresses from Alain Morliere's model.
Last updated: Mon, 12 Sep 2016 21:27:18 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars
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
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 (best-fit-line) over Y T | Y T |
Note on units