AUTHOR=Rulent Julia , Calafat Francisco M. , Banks Christopher J. , Bricheno Lucy May , Gommenginger Christine , Green J. A. Mattias , Haigh Ivan D. , Lewis Huw , Martin Adrien C. H. TITLE=Comparing Water Level Estimation in Coastal and Shelf Seas From Satellite Altimetry and Numerical Models JOURNAL=Frontiers in Marine Science VOLUME=7 YEAR=2020 URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2020.549467 DOI=10.3389/fmars.2020.549467 ISSN=2296-7745 ABSTRACT=
Accurately resolving coastal Total Water Levels (TWL) is crucial for socio-economic and environmental reasons. Recent efforts in satellite altimetry and numerical modeling have improved accuracy over near-shore areas. In this study we used data from tide gauges (TGs), SAR-mode altimetry from two satellites [Sentinel-3A (S3) and CryoSat-2 (C2)], and a state-of-the-art high-resolution regional coupled environmental prediction model (Amm15) to undertake an inter-comparison between the observations and the model. The aim is to quantify our capability to measure TWL around the United Kingdom coast, and to quantify the capacity of the model to represent coastal TWL. Results show good agreement between the satellite and TG data [the mean correlation (R) over seventeen TGs between June 2016 and September 2017 is 0.85 for S3 and 0.80 for C2]. The satellite-model comparison shows that the variability is well captured (