data: $partialdiff sub Y$ $partialdiff sub X$ $partialdiff sub T$ [ IGOSS ers1 sealevel ]

served from IRI/LDEO Climate Data Library

∂_Y ∂_X ∂_T [ IGOSS ers1 sealevel ] : ∂_Y ∂_X ∂_T Sea Level Anomaly data

sealevel partial_T partial_T partial_X partial_Y ∂_Y ∂_X ∂_T Sea Level Anomaly from IGOSS ers1: Analysis of monthly mean ERS-1 altimeter and tide gauge measurements at 30 island locations in the central and western Pacific.

Documents

USA

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Sep 1994) to (Jul 1995) by 1.0 N= 11 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (126E) to (126W) by 6.0 N= 19 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (39.33333S) to (39.33333N) by 1.333333 N= 60 pts :grid

Other Info

CI

4.0

file_missing_value

999

missing_value

NaN

units

393.936762001409 meter radian^-2 east year^-1

history

$partialdiff sub Y$ $partialdiff sub X$ $partialdiff sub T$ [ IGOSS ers1 sealevel ]

Blended sea level anomaly from ERS-1 altimeter data and tide gauge data.
Annual and semiannual signals have been removed, leaving only the interannual changes relative to the April 1985-86 mean.

References

Miller_etal1993

Last updated: Mon, 16 Feb 2015 21:51:22 GMT

Data Views

	T	X	Y
$partialdiff sub Y$ $partialdiff sub X$ $partialdiff sub T$ [ IGOSS ers1 sealevel ] [ 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

∂Y ∂X ∂T [ IGOSS ers1 sealevel ] : ∂Y ∂X ∂T Sea Level Anomaly data