data: $integral dX$ $partialdiff sub T$ $partialdiff sub T$ [ COADS mean slp ]

served from IRI/LDEO Climate Data Library

∫dX ∂_T ∂_T [ COADS mean slp ] : ∂_T ∂_T sea level pressure data

slp partial_T partial_T ∂_T ∂_T sea level pressure from COADS mean: Monthly average data for gridbox.

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) ordered (Feb 1854) to (Nov 1992) by 1.0 N= 1666 pts :grid
Longitude: grid: /X (degree_east) ordered (0) to (0) by 2.0 N= 181 pts :grid
Latitude: grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid

Other Info

bufferwordsize: 8
datatype: doublearraytype
missing_value: NaN
precision: 0.01
units: 251.327412287183 kilogram meter^-1 radian east second^-2 year^-2

References

R. J. Slutz, S. J. Lubker, J. D. Hiscox, S. D. Woodruff, R. L. Jenne, D. H. Joseph, P. M. Steuer, J. D. Elms. Comprehensive Ocean-Atmosphere Data Set: Release 1, number 268 pp., 1985

Last updated: Mon, 12 Sep 2016 21:27:21 GMT

Data Views

	T	X	Y
$integral dX$ $partialdiff sub T$ $partialdiff sub T$ [ COADS mean slp ] [ 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