Abstract
AbstractThe sea level observations from satellite altimetry are characterised by a sparse spatial and temporal coverage. For this reason, along-track data are routinely interpolated into daily grids. These grids are strongly smoothed in time and space and are generated using an optimal interpolation routine requiring several pre-processing steps and covariance characterisation. In this study, we assess the potential of Random Forest Regression to estimate daily sea level anomalies. Along-track sea level data from 2004 are used to build a training dataset whose predictors are the neighbouring observations. The validation is based on the comparison against daily averages from tide gauges. The generated dataset is on average 10% more correlated to the tide gauge records than the commonly used product from Copernicus. While the latter is more optimised for the detection of spatial mesoscales, we show how the methodology of this study has the potential to improve the characterisation of sea level variability.
Funder
Deutsche Forschungsgemeinschaft
Technische Universität München
Publisher
Springer Science and Business Media LLC
Reference26 articles.
1. Ballarotta M, Ubelmann C, Pujol M-I, Taburet G, Fournier F, Legeais J-F, Faugère Y, Delepoulle A, Chelton D, Dibarboure G et al (2019) On the resolutions of ocean altimetry maps. Ocean Sci 15(4):1091–1109. https://doi.org/10.5194/os-15-1091-2019
2. Benveniste J, Birol F, Calafat F, Cazenave A, Dieng H, Gouzenes Y, Legeais JF, Leger F, Niño F, Passaro M, Schwatke C, Shaw A (2020) (The Climate Change Initiative Coastal Sea Level Team) Coastal sea level anomalies and associated trends from Jason satellite altimetry over 2002–2018. Sci Data:7. https://doi.org/10.1038/s41597-020-00694-w
3. Birol F, Léger F, Passaro M, Cazenave A, Niño F, Calafat FM, Shaw A, Legeais J-F, Gouzenes Y, Schwatke C et al (2021) The X-TRACK/ALES multi-mission processing system: new advances in altimetry towards the coast. Adv Space Res 67(8):2398–2415. https://doi.org/10.1016/j.asr.2021.01.049
4. Bonnefond P, Exertier P, Laurain O, Guinle T, Femenias P (2013) Corsica: a multi-mission absolute calibration site. In: Proceeding of 20 years of progress in radar altimetry, ESA-SP-710
5. Breiman L (2001) Random forests. Mach Learn 45(1):5–32. https://doi.org/10.1023/A:1010933404324
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