served from IRI/LDEO Climate Data Library
∂T root mean sq detrended-bfl ∫dT [ ∫dY ( Morliere taux ) climatology ] : ∂T zonal wind stress data
taux int_dY int_dY int_dT adif adif ∂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 (Jan 1960) to (Dec 1960) by 1.0 N= 12 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- units
- 0.00174532925199433 kilogram meter-1 radian north second-2
- history
- detrended-bfl $integral dT$ [ $integral dY$ ( Morliere taux ) climatology ]
- Wind stresses from Alain Morliere's model.
Averaged over T2[1981, 1989]
$partialdiff sub T$ root mean sq detrended-bfl $integral dT$ [ $integral dY$ ( Morliere taux ) climatology ]- Averaged over X[102W, 22E] Y[36S, 58N]
- Wind stresses from Alain Morliere's model.
Last updated: Mon, 12 Sep 2016 21:27:18 GMT
Data Views
Views
line plots
color bars
scatter
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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units