Abstract's details
Sentinel-6 Processing Prototype data release
Event: 2022 Ocean Surface Topography Science Team Meeting
Session: Sentinel-6 Validation Team (S6VT) feedbacks
Presentation type: Poster
Launched on 21 November 2020, Sentinel-6 Michael Freilich is a Copernicus satellite designed to ensure the continuity to the mean sea level climate time series measured by the TOPEX/Poseidon and Jason satellites since 1992. The main payload instrument carried on-board Sentinel-6 is the Poseidon-4 (POS4) dual frequency radar altimeter. POS4 uses a 9 kHz Pulse Repetition Frequency and an innovative interleaved chronogram which allows the optimization of the number of measurements acquired. Like this interleaved mode enables the acquisition of two modes in parallel: a Low Resolution Mode (LR) which aims in extending the legacy of the mean sea level record, and a High Resolution Mode (HR) or Synthetic Aperture Radar Mode (SAR) that significantly improves the along-track spatial resolution and reduces measurement noise. Downlink of both LR and HR data is enabled thanks to the on-board Range Migration Correction (RMC) algorithm which allows HR data volume reduction.
Developed in the frame of the CNES/CLS R&D activities, the Sentinel-6 Processing Prototype (S6PP) allows implementation and validation of innovative algorithms for S-6 MF for both LR and HR data processing. Among these recent developments, some have been endorsed for future implementation in the PDAP operational ground segment. In particular, future PDAP versions will benefit from the implementation of the so-called numerical retracking in both LR and HR, aiming at taking account for any instrumental evolution. Also HR data processing will include correction for range walk effect which affects both SWH estimations and Sea Level Anomaly long term estimations, and for vertical wave velocity effects via HR LUT computed and provided by NOAA.
In this presentation we present the data quality of an S6PP expertise dataset in order to prepare users for the future PDAP evolutions. It consists in a one year dataset processed with S6PP, from PDAP L1B LR and L1A HR products, and including the PDAP geophysical corrections. Both LR and HR data are assessed, and particular attention is given to the GMSL continuity with Jason-3.
The dataset can be downloaded by the users on the AVISO website.
Developed in the frame of the CNES/CLS R&D activities, the Sentinel-6 Processing Prototype (S6PP) allows implementation and validation of innovative algorithms for S-6 MF for both LR and HR data processing. Among these recent developments, some have been endorsed for future implementation in the PDAP operational ground segment. In particular, future PDAP versions will benefit from the implementation of the so-called numerical retracking in both LR and HR, aiming at taking account for any instrumental evolution. Also HR data processing will include correction for range walk effect which affects both SWH estimations and Sea Level Anomaly long term estimations, and for vertical wave velocity effects via HR LUT computed and provided by NOAA.
In this presentation we present the data quality of an S6PP expertise dataset in order to prepare users for the future PDAP evolutions. It consists in a one year dataset processed with S6PP, from PDAP L1B LR and L1A HR products, and including the PDAP geophysical corrections. Both LR and HR data are assessed, and particular attention is given to the GMSL continuity with Jason-3.
The dataset can be downloaded by the users on the AVISO website.
Contribution: S6VT2022-Sentinel-6_Processing_Prototype_data_release.pdf (pdf, 1067 ko)
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