Abstract
The SWOT satellite, carrying the KaRIN first wide-swath onboard altimeter, was launched in December 2022, and has now delivered more than a year of surface water elevation data over the ocean and inland lakes/rivers. These data are affected by systematic errors which constitute the dominant part of the error budget at scales larger than a few thousands of kilometers. Some strategies for their estimation and calibration were explored during the pre-launch studies with performance estimations. Now, based on the real data, we propose in this study to assess the systematic error budget with statistical methods relying on spectral and co-spectral analysis. From this assessment, suggesting very low error levels (below requirements), we propose the implementation of the calibration algorithms at Level-2 and Level-3 with a few minor adjustments justified by the error spectra. The calibrated products are then validated with usual CalVal metrics.
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CITATION STYLE
Ubelmann, C., Dibarboure, G., Flamant, B., Delepoulle, A., Vayre, M., Faugère, Y., … Cadier, E. (2024). Data-Driven Calibration of SWOT’s Systematic Errors: First In-Flight Assessment. Remote Sensing, 16(19). https://doi.org/10.3390/rs16193558
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