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Mean Sea Level product and image interactive selection

Aviso proposes a new interactive tool enabling to plot the Mean Sea Level trend times series and maps by selecting an area, a time-period (for time series only), one or several satellite missions, ...

The corresponding mean sea level trend value is updated in the subtitle following any change in your time period or area selections. Outputs can be downloaded in image format (png) and/or in NetCDF or ASCII format. Some screenshots and a how-to tutorial present you these new features. The Mean Sea Level products have been reprocessed to take into account improvements performed on altimeter standards. Further information about the new standards hereSubscribe to Aviso+ products to get informed about updates on MSL indicator.

- for scientific and statistics reasons, period under 5 years are not significant.
- Default values are 2-month filtered data (green curve for "Reference Mission"). The trend value is based on these default values. The downloaded files correspond to these default values with 2-month filtered data.
 -"Reference" products are computed with the T/P-Jason-1-Jason-2 serie for the time series and with merged datasets for the maps;
- "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.
- Seasonnal and annual signals are filtered when you select  "Seasonal Signal" "Removed".


October 2016

  • New interactive tool to plot the Mean Sea Level (this is one presented in the top of this page). Screenshots and how-to tutorial presents its main features.
  • Changes in Jason-1, Jason-2, Topex/Poseidon, Envisat standards, detailed in the Table "Processing and Corrections" and in the pdf document
  • Improvements in the MSL processing methodology detailed in the same pdf document.

July 2014

  • Integration of Saral mission 

January 2014

  • Changes in Jason-1, Jason-2, Topex/Poseidon, Envisat standards, detailed in the Table "Processing and Corrections" and in the pdf document
  • Improvements in the MSL processing methodology detailed in the same pdf document.

July 2013

  • integration of Jason-1 geodetic orbit:
    • New corrections: MSS_CNES_CLS11, new orbit
    • computation of bias between repetitive orbit and geodetic orbit

December 2012

  • Jason-2:
    • new GDR-D orbit standards.
    • New corrections: MSS_CNES_CLS11, tide model: Got4.8

September 2012

  • Jason-1 (cycles 228 to 259) take now into account the JMR replacement product. The cycles 1 to 227 remain unchanged.

April 2012

April 2011:

  • Time series for Reference mission (T/P-J1-J2) are available for ALL areas,
  • Three areas are added: Black Sea, North & South Hemispheres.

August 2010:

  • Two different datasets merging satellites are now available:
    • reference for the T/P-J1-J2 homogeneous time series or the merged data for the maps
    • multi-mission, a plot combining all the satellites MSL curves (no data available, only time-series).

May 2010:

  • MSL curves and data provided by Envisat and Jason-2 missions have been added.
  • For all missions, MSL data have been reprocessed with GOT4.7 tidal model.
  • T/P MSL have been reprocessed with a new SSB solution (Tran et al., 2010) and GSFC orbit.

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).

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