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Application of multi-mission altimeter measurements

Application of multi-mission altimeter measurements to the analysis of wave height time and space variability over the Mediterranean Sea Pierre Queffeulou. Contents. Introduction Altimeter sampling 13 years along the same ground tracks: TOPEX & Jason-1

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Application of multi-mission altimeter measurements

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  1. Application of multi-mission altimeter measurements to the analysis of wave height time and space variability over the Mediterranean Sea Pierre Queffeulou

  2. Contents • Introduction • Altimeter sampling • 13 years along the same ground tracks: TOPEX & Jason-1 • Merging data from six altimeters over the various Mediterranean basins • - monthly mean annual cycles • - seasonnal interannual variability • Conclusion

  3. Specific characteristics of the Mediterranean Sea

  4. Altimeter samplinga compromise between time and space sampling • High 3-day repeat cycle ERS-1 phase A, B or D (only a few months), with coarse spatial sampling • Low 35-day, ERS and ENVISAT with higher spatial sampling • Medium 17-day GEOSAT FO • 10-day TOPEX and Jason

  5. ERS-1 phase A 3-day cycle29 passes over the same ground trackevery 3 days from September 16 to December 9, 1991

  6. 3-day sample averaged SWH

  7. 6-day sample averaged SWH

  8. 9-day sample averaged SWH

  9. 13-year monthly mean SWHTOPEX & Jason-1

  10. 13 year seasonal mean SWH TOPEX & Jason-1

  11. 13 year winter mean SWH TOPEX & Jason-1

  12. 13-year seasonal SWH standard deviation TOPEX & Jason-1

  13. 14-year monthly mean SWHERS-1 ERS-2 TOPEX GFO JASON ENVISATfor the whole Mediterranean basin

  14. Mediterranean sub-basins

  15. 14-year SWH distributions

  16. SWH monthly annual cycle - altimeters/buoy comparison 3.5 years

  17. 14-year SWH annual cycle (mean values)

  18. 14-year SWH annual cycle (standard dev.)

  19. 14-year SWH inter-annual variability (western basins)

  20. 14-year SWH inter-annual variability (eastern basins)

  21. Geographical correlation of SWH inter-annual anomalies normalised inter-annual swh anomalies correlation coefficient (percent) between the Mediterranean sub-basins

  22. Conclusion Interest of altimeter long time series along the same ground track for seasonal SWH spatial distribution. Multi-altimeter SWH data allow to estimate monthly mean annual cycles and seasonnal inter-annual variabilty Though the observed inter-annual variabilty has still to be checked against other sources (buoys? models?). Above application was demonstrated for the Mediterranean Sea which is a very complex area. Can be easily applied to any other geographical area; the various altimeter data sets have been processed for this. Only mean and standard deviation swh characteristics.

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