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Validation of an Empirical Subwaveform Retracking Strategy for SAR Altimetry

Authors :
Marcello Passaro
Laura Rautiainen
Denise Dettmering
Marco Restano
Michael G. Hart-Davis
Florian Schlembach
Jani Särkkä
Felix L. Müller
Christian Schwatke
Jérôme Benveniste
Source :
Remote Sensing, Vol 14, Iss 16, p 4122 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

The sea level retrievals from the latest generation of radar altimeters (the SAR altimeters) are still challenging in the coastal zone and areas covered by sea ice and require a dedicated fitting (retracking) strategy for the waveforms. In the framework of the European Space Agency’s Baltic + Sea Level (ESA Baltic SEAL) project, an empirical retracking strategy (ALES + SAR), including a dedicated sea state bias correction, has been designed to improve the sea level observations in the Baltic Sea, characterised by a jagged coastline and seasonal sea ice coverage, without compromising the quality of open ocean data. In this work, the performances of ALES + SAR are validated against in-situ data in the Baltic Sea. Moreover, variance, crossover differences and power spectral density of the open ocean data are evaluated on a global scale. The results show that ALES + SAR performances are of comparable quality to the ones obtained using physical-based retrackers, with relevant advantages in coastal and sea ice areas in terms of quality and quantity of the sea level data.

Details

Language :
English
ISSN :
20724292
Volume :
14
Issue :
16
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.79be1896551849b7bc4491cee854933e
Document Type :
article
Full Text :
https://doi.org/10.3390/rs14164122