data: $integral dY$ $partialdiff sub X$ detrended-bfl $partialdiff sub T$ $partialdiff sub X$ $partialdiff sub Y$ $integral dX$ detrended-bfl $partialdiff sub T$ [ detrended-bfl ( IGOSS TOPEX NOAA ssha ) climatology ]

served from IRI/LDEO Climate Data Library

∫dY ∂_X detrended-bfl ∂_T ∂_X ∂_Y ∫dX detrended-bfl ∂_T [ detrended-bfl ( IGOSS TOPEX NOAA ssha ) climatology ] : ∂_X ∂_T ∂_X ∂_Y ∂_T Sea Surface Height Anomaly data

ssha adif adif partial_T adif adif int_dX partial_Y partial_X partial_X partial_X partial_T adif partial_X partial_X ∂_X ∂_T ∂_X ∂_Y ∂_T Sea Surface Height Anomaly from IGOSS TOPEX NOAA: NOAA TOPEX/POSEIDON Altimeter Gridded Sea Level Analysis.

Independent Variables (Grids)

Time (time): grid: /T (months since 01-Jan) periodic (Sep) to (Aug) by 1.0 N= 12 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (8E) to (8W) by 4.0 N= 87 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (59S) to (59N) by 1.0 N= 119 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

missing_value

NaN

units

82.5059224988385 meter radian^-1 north year^-2

history

detrended-bfl [ IGOSS TOPEX NOAA ssha ]

Monthly mean sea surface height anomaly. USA

$integral dY$ $partialdiff sub X$ detrended-bfl $partialdiff sub T$ $partialdiff sub X$ $partialdiff sub Y$ $integral dX$ detrended-bfl $partialdiff sub T$ [ detrended-bfl ( IGOSS TOPEX NOAA ssha ) climatology ]

Averaged over T2[Oct 1992 - Sep 1993, Oct 2000 - Sep 2001] minimum 0.0% data present

References

Cheney_etal1994

Last updated: Fri, 18 Sep 2015 18:39:07 GMT

Data Views

	T	X	Y
$integral dY$ $partialdiff sub X$ detrended-bfl $partialdiff sub T$ $partialdiff sub X$ $partialdiff sub Y$ $integral dX$ detrended-bfl $partialdiff sub T$ [ detrended-bfl ( IGOSS TOPEX NOAA ssha ) climatology ] [ 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