data: $integral dX$ $partialdiff sub Y$ [ DASILVA SMD94 anomalies u3 ]

served from IRI/LDEO Climate Data Library

∫dX ∂_Y [ DASILVA SMD94 anomalies u3 ] : ∂_Y zonal wind data

anomalies u3 u3 partial_Y partial_Y ∂_Y zonal wind from DASILVA SMD94: a five-volume atlas series depicting the seasonal and yearly variations of the surface marine atmosphere over the global oceans.

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) ordered (Jan 1945) to (Dec 1993) by 1.0 N= 588 pts :grid
longitude: grid: /X (degree_east) ordered (0.5E) to (0.5E) by 1.0 N= 361 pts :grid
Latitude: grid: /Y (degree_north) ordered (88.5S) to (88.5N) by 1.0 N= 178 pts :grid

Other Info

bufferwordsize: 8
datatype: doublearraytype
missing_value: NaN
units: m /s
standard units*: meter second^-1
history: da Silva et al. 1994: Atlas of Surface Marine Data

References

A. da Silva, A. C. Young, S. Levitus. Atlas of Surface Marine Data 1994, Volume 1: Algorithms and Procedures, number 6, 1994

Last updated: Mon, 12 Sep 2016 21:11:54 GMT

Data Views

	T	X	Y
$integral dX$ $partialdiff sub Y$ [ DASILVA SMD94 anomalies u3 ] [ X Y \| T]	M	M	M

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 Y T
Differentiate along X Y T
Take differences along X Y T