Preliminary Analysis of the GDR-G Data Products of Jason-3 Satellite Altimeter
In early 2025, the Jason-3 satellite’s orbit shifted from an “interleaved” to a tandem configuration with Sentinel-6A, and its Geophysical Data Records (GDR) were upgraded from Version F to G. This study evaluated GDR-G via eight processing approaches, using Jason-3’s last six GDR-F cycles (#394–#399) and first six GDR-G cycles (#501–#506), integrating histogram/geographical distribution analyses of Sea Surface Height Anomaly (SSHA), Significant Wave Height (SWH), Wind Speed (WS), and multi-method validation (e.g., self-cross-calibration). Key findings include the following: GDR-G had significantly lower SSHA noise than GDR-F, with up to ~4 cm SSHA bias from different retrackers/corrections; Adaptive retracker + 3D Sea State Bias (SSB) correction achieved optimal accuracy. Adaptive retracker’s SWH/WS anomalies linked to invalid MLE4 results and non-Brownian waveforms (coastal/sea ice). A detrending method was proposed, and the 41-point Lanczos window was optimal for smoothing. The results from the “detrending method” were consistent with the results based on the SSHA spectrum and classic self-cross-calibration methods. A ~5 mm drop was observed in Jason-3 GDR-G MLE4 baseline SSHA, probably caused by GDR upgrade or geographic sampling mismatch, while Sentinel-6A’s GDR-G upgrade might induce ~1 cm jump. The jumps along with GDR version upgrade highlighted the value of timely in situ absolute calibration.
Authors
- Xi-Yu Xu
- Mengyao Li (ORCID: https://orcid.org/0009-0004-2355-4433)
- Q. Liu
- Zhiyong Huang
- Tingting Shi
Institutions
- Beijing Institute of Technology (CN)
- Chinese Academy of Sciences (CN)
- China National Space Administration (CN)
- National Space Science Center (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Oceans
- Published
- 2025-12-25
- DOI
- https://doi.org/10.3390/oceans7010002
- Primary Topic
- Ocean Waves and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- European Organization for the Exploitation of Meteorological Satellites