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Mean Sea Surface

Types of dataset: auxiliary product


Contents: mean sea profile above a reference ellipsoid (T/P or WSG84). This surface is available on a regular grid (1/60°x1/60°, 1 minute). Another grid provides the estimation of error fields which represent the MSS accuracy estimated through the inverse technique.


Use: geodesy, geophysics, oceanography (operational oceanography, modeling, ocean variability studies)


Description : product recovering a 20-year period (1993-2012), based on altimetry data (mean profiles, geodetic mission and SLA) from 20-year of Topex/poseidon, ERS-2 , GFO, Jason-1,Jason-2, Envisat mean profile and  data of the ERS-1, Jason-1, and Cryosat-2 geodetic phase. The use of several missions requires to readjust all missions between them. Thus, a reference mission is chosen and other missions are adjusted with this latest (more information). 

Geographic coverage: global (from 80°S and 84°N.) for MSS15 and global (from 79,5°S and 90°N.) for MSS combined SIO/CNES_CLS2015/DTU15


Format : netCDF-4 format


Distribution media: FTP, Gridded Data Extraction Tool


Condition of access: products delivered as stated in the licence agreement


To get an acces to the last version of MSS product, please fill in, select the given product and valid the registration form


How to cite Aviso data?

  • New Mean Sea Surface CNES CLS 2015 Focusing on the use of Geodetic Missions of Cryosat-2 and Jason-1, Oral Presentation OSTST 2016, P.Schaeffer et al.
  • The MSS CNES CLS 2015 : Presentation and assessment, poster, Living Planet Symposium 2016, P.Schaeffer et al.


Copyright : 2015-ongoing CNES-CLS

Releases of MSS

MSS_CNES_CLS2015

This mean sea surface follows on MSS_CNES_CLS_2011. The key points of this CNES_CLS 2015 MSS:

  • a drastic improvement of the shortest wavelengths,
  • a better correction of the oceanic variability,
  • a reduced degradation of SLA near the coast.
  • globaly, strong reduction of errors when computing SLA
  • more homogeneity of accuracy compared to the former versions
NameDistribution mediaFrequencyData periodFile weight
MSS CNES-CLS 2015

FTP
Gridded Extraction tool

N/A based on 1993 - 20121.6 GB

Hybrid MSS combining SIO/CNES_CLS2015/DT15 MSS models

 

This MSS results from the combination of 3 different reference MSSs over the ocean:

 

  • The SIO MSS  (Sandwell et al, 2017) is used in the open ocean.
  • The CNES_CLS15 (Pujol et al, 2016) MSS used on coastal areas (<30km from the coast) and for the Antarctic region.
  • The DTU15 MSS (Andersen et al, 2016) used in Arctic regions (latitude> 80 N).

 

References:

  • Andersen O., L. Stenseng, G. Piccioni, P. Knudsen, 2016. The DTU15 MSS (Mean Sea Surface) and DTU15LAT (Lowest Astronomical Tide) reference surface. ESA Living Planet Symposium 2016 - Prague, Czech Republic. http://lps16.esa.int/page_session189.php#1579p.
  • Pujol M.-I., Schaeffer P., Faugere Y., Raynal M., Dibarboure G., & Picot N. (2018). Gauging the improvement of recent mean sea surface models: A new approach for identifying and quantifying their errors. Journal of Geophysical Research: Oceans, 123. >https://doi.org/10.1029/2017JC013503.
  • Sandwell D., Schaeffer P., Dibarboure G., Picot N., (2017). High Resolution Mean Sea Surface for SWOT. https://spark.adobe.com/page/MkjujdFYVbHsZ/."

 

NameDistribution mediaFrequencyData periodFile weight
Hybrid MSS

FTP
Gridded Extraction tool

N/A based on 1993 - 20121.0 GB

 

July 2011: New MSS_CNES_CLS2011

This mean sea surface follows on MSS_CNES_CLS_2010.  The shorter wavelengths of this new MSS were significantly improved while maintaining the capability of the optimal analysis for removing the residual effect of the ocean variability.

It has been produced in the frame of the SLOOP project, funded by CNES/SALP, aiming at improving the quality of altimetric products in open ocean.

MSS_CNES_CLS10

This model is affected by artifact (that affect the shortest wavelengths lower than 30 km) concerning seamounts that appear too smoothed. This was due to the behavior of the objective analysis, which tended to overestimate the residual ocean variability at the expense of the topography (static geophysical structure).

Further information: Schaeffer P. et al.: The new CNES CLS 2010 Mean Sea Surface, oral presentation at OSTST 2010 meeting (pdf, 10 MB).

2001: CLS01

This mean sea surface succeed to CLS-SHOM98.2 project.
Concerning CLS01 this is 7 years of Topex/Poseidon data, 5 years of ERS-1/2 data, 2 years of Geosat data added to ERS-1 geodetic data which were processed and homogenized in order to produce a (1/30°x1/30°) gridded map.

1998: CLS_SHOM98.2

This mean sea surface was based on 3 years of data (Topex/Poseidon, ERS-1 and Geosat) combined on a (1/16°x1/16°) grid.

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