Products and images selection


Mean Sea Level product and image selection

Select the area (for time series only), corrections and the kind of plot (map or time serie curve) you wish, visualise the corresponding mean sea level and download the data (NetCDF or ASCII format)



Quick-look of selected data. Click on "download the image"
to retrieve the image in high resolution
or on "download the data" to get the data.
 
Map
Time serie

ZONE


Global
 

SATELLITE

Reference*(1)
Topex/Poseidon
Jason-1
Jason-2
Envisat
Multi-mission(2)

CORRECTIONS

Applied corrections

Inverted barometer; Radiometer wet troposphere*
Inverted barometer; Model wet troposphere
Inverted barometer correction not applied; Radiometer wet troposphere
 

* prefered settings
** seasonal, annual signals
(1)"Reference" products are computed with the T/P-Jason-1-Jason-2 serie for the time series and with merged datasets for the maps;
(2)"multi-mission" products include all the satellite time series overlaid after being adjusted from biases. The multi-mission time series are available only as images.

Updates

December 2012

September 2012

April 2012

April 2011:

August 2010:

May 2010:

January 2010: Jason-1 data computed using reprocessed GDR-C data (see Jason-1 GDR handbook for more information about this new version and its contents).

June 2009: a new option, to take the Glacial Isostatic Adjustment into account, is now available. This applies only on the global time series.

December 6, 2007: A new option is available for Jason-1 mean sea level.
Wet tropospheric correction can derive from radiometer measurements or from a model (ECMWF) (up till the recent Jason-1 data re-processing, radiometer measurements weren't really usable for mean sea level, and only the model was used). But these two data sources both can vary (model update, yet uncorrected problem on the radiometer data, etc.). We now propose both possibilities for Jason-1 mean sea level data. This should enable a quicker detection of any problem on either one.
Mean sea level computation is one of the most sensitive altimetry applications. This is why it is one of the indicators monitoring continuously the altimetry data quality (Calval).