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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Main Authors: 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
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Marine Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2020.549467/full
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spelling 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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