Comparing Water Level Estimation in Coastal and Shelf Seas From Satellite Altimetry and Numerical Models
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 sat...
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doaj-04d62177ea4d4ff8912fad7096bdc26e2020-11-25T02:36:05ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452020-10-01710.3389/fmars.2020.549467549467Comparing Water Level Estimation in Coastal and Shelf Seas From Satellite Altimetry and Numerical ModelsJulia Rulent0Julia Rulent1Francisco M. Calafat2Christopher J. Banks3Lucy May Bricheno4Christine Gommenginger5J. A. Mattias Green6Ivan D. Haigh7Huw Lewis8Adrien C. H. Martin9School of Ocean Sciences, College of Environmental Sciences and Engineering, Bangor University, Menai Bridge, United KingdomNational Oceanography Centre, Liverpool, United KingdomNational Oceanography Centre, Liverpool, United KingdomNational Oceanography Centre, Liverpool, United KingdomNational Oceanography Centre, Liverpool, United KingdomNational Oceanography Centre, Southampton, United KingdomSchool of Ocean Sciences, College of Environmental Sciences and Engineering, Bangor University, Menai Bridge, United KingdomCoastal Oceanography within Ocean and Earth Science, National Oceanography Centre, University of Southampton, Southampton, United KingdomMet Office, Exeter, United KingdomNational Oceanography Centre, Southampton, United KingdomAccurately 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 (R = 0.98 for both satellite), however, there is an offset (−0.23 m for S3, −0.15 m for C2) between the satellite and model data, that is near-constant across the domain. This offset is partly attributed to the difference in the reference level used by the satellites and the model, and residual differences linked to the temporal resolution of the model. The best agreement between model and satellite is seen away from the coast, further than 3–4 km offshore. However, even within the coastal band, R remains high, ∼0.95 (S3) and ∼0.96 (C2). In conclusion, models are still essential to represent TWL in coastal regions where there is no cover from in-situ observations, but satellite altimeters can now provide valuable observations that are reliable much closer to the coast than before.https://www.frontiersin.org/articles/10.3389/fmars.2020.549467/fullaltimetrynumerical modelwater levelcomparisonshelf sea |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Julia Rulent Julia Rulent Francisco M. Calafat Christopher J. Banks Lucy May Bricheno Christine Gommenginger J. A. Mattias Green Ivan D. Haigh Huw Lewis Adrien C. H. Martin |
spellingShingle |
Julia Rulent Julia Rulent Francisco M. Calafat Christopher J. Banks Lucy May Bricheno Christine Gommenginger J. A. Mattias Green Ivan D. Haigh Huw Lewis Adrien C. H. Martin Comparing Water Level Estimation in Coastal and Shelf Seas From Satellite Altimetry and Numerical Models Frontiers in Marine Science altimetry numerical model water level comparison shelf sea |
author_facet |
Julia Rulent Julia Rulent Francisco M. Calafat Christopher J. Banks Lucy May Bricheno Christine Gommenginger J. A. Mattias Green Ivan D. Haigh Huw Lewis Adrien C. H. Martin |
author_sort |
Julia Rulent |
title |
Comparing Water Level Estimation in Coastal and Shelf Seas From Satellite Altimetry and Numerical Models |
title_short |
Comparing Water Level Estimation in Coastal and Shelf Seas From Satellite Altimetry and Numerical Models |
title_full |
Comparing Water Level Estimation in Coastal and Shelf Seas From Satellite Altimetry and Numerical Models |
title_fullStr |
Comparing Water Level Estimation in Coastal and Shelf Seas From Satellite Altimetry and Numerical Models |
title_full_unstemmed |
Comparing Water Level Estimation in Coastal and Shelf Seas From Satellite Altimetry and Numerical Models |
title_sort |
comparing water level estimation in coastal and shelf seas from satellite altimetry and numerical models |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Marine Science |
issn |
2296-7745 |
publishDate |
2020-10-01 |
description |
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 (R = 0.98 for both satellite), however, there is an offset (−0.23 m for S3, −0.15 m for C2) between the satellite and model data, that is near-constant across the domain. This offset is partly attributed to the difference in the reference level used by the satellites and the model, and residual differences linked to the temporal resolution of the model. The best agreement between model and satellite is seen away from the coast, further than 3–4 km offshore. However, even within the coastal band, R remains high, ∼0.95 (S3) and ∼0.96 (C2). In conclusion, models are still essential to represent TWL in coastal regions where there is no cover from in-situ observations, but satellite altimeters can now provide valuable observations that are reliable much closer to the coast than before. |
topic |
altimetry numerical model water level comparison shelf sea |
url |
https://www.frontiersin.org/articles/10.3389/fmars.2020.549467/full |
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