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

served from IRI/LDEO Climate Data Library

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

anomalies u3 partial_X partial_X partial_Y partial_Y ∂_Y ∂_X 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 (Feb 1945) to (Nov 1993) by 1.0 N= 586 pts :grid
Longitude: grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
Latitude: grid: /Y (degree_north) ordered (89S) to (89N) by 1.0 N= 179 pts :grid

Other Info

CE

null

CS

null

datatype

realarraytype

missing_value

NaN

units

3282.80635001174 meter radian^-2 east second^-1

history

$partialdiff sub Y$ $partialdiff sub X$ [ DASILVA SMD94 anomalies u3 ]
da Silva et al. 1994: Atlas of Surface Marine Data

$partialdiff sub Y$ $partialdiff sub X$ [ DASILVA SMD94 anomalies u3 ] climatology

da Silva et al. 1994: Atlas of Surface Marine Data
Averaged over T2[16 Jan 1945 - 15 Jan 1946, 16 Jan 1992 - 15 Jan 1993] minimum 0.0% data present

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
$partialdiff sub Y$ $partialdiff sub X$ [ DASILVA SMD94 anomalies u3 ] anomalies[ 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