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

served from IRI/LDEO Climate Data Library

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

ssha ssha ssha int_dX int_dY int_dY partial_Y adif adif partial_Y partial_Y int_dX int_dX int_dX int_dY int_dY ∂_Y ∂_Y 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 (16 Nov - 15 Dec) to (16 Oct - 15 Nov) by 1.0 N= 12 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (4W) to (4E) by 4.0 N= 93 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (59.5S) to (59.5N) by 1.0 N= 120 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

missing_value

NaN

units

9.27917724375119×10^-10 meter radian⁴ north

history

IGOSS TOPEX NOAA ssha

Monthly mean sea surface height anomaly. USA

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

Averaged over T2[16 Oct 1992 - 15 Oct 1993, 16 Oct 2000 - 15 Oct 2001] minimum 0.0% data present

References

Cheney_etal1994

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	T	X	Y
detrended-bfl $integral dY$ $integral dX$ $integral dX$ $partialdiff sub Y$ detrended-bfl $partialdiff sub Y$ $integral dY$ $integral dY$ $integral dX$ [ 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