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Tracking the weight of Hurricane Harvey’s stormwater using GPS data

On 26 August 2017, Hurricane Harvey struck the Gulf Coast as a category four cyclone depositing ~95 km(3) of water, making it the wettest cyclone in U.S. history. Water left in Harvey’s wake should cause elastic loading and subsidence of Earth’s crust, and uplift as it drains into the ocean and evap...

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Autores principales: Milliner, Chris, Materna, Kathryn, Bürgmann, Roland, Fu, Yuning, Moore, Angelyn W., Bekaert, David, Adhikari, Surendra, Argus, Donald F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6155028/
https://www.ncbi.nlm.nih.gov/pubmed/30255155
http://dx.doi.org/10.1126/sciadv.aau2477
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author Milliner, Chris
Materna, Kathryn
Bürgmann, Roland
Fu, Yuning
Moore, Angelyn W.
Bekaert, David
Adhikari, Surendra
Argus, Donald F.
author_facet Milliner, Chris
Materna, Kathryn
Bürgmann, Roland
Fu, Yuning
Moore, Angelyn W.
Bekaert, David
Adhikari, Surendra
Argus, Donald F.
author_sort Milliner, Chris
collection PubMed
description On 26 August 2017, Hurricane Harvey struck the Gulf Coast as a category four cyclone depositing ~95 km(3) of water, making it the wettest cyclone in U.S. history. Water left in Harvey’s wake should cause elastic loading and subsidence of Earth’s crust, and uplift as it drains into the ocean and evaporates. To track daily changes of transient water storage, we use Global Positioning System (GPS) measurements, finding a clear migration of subsidence (up to 21 mm) and horizontal motion (up to 4 mm) across the Gulf Coast, followed by gradual uplift over a 5-week period. Inversion of these data shows that a third of Harvey’s total stormwater was captured on land (25.7 ± 3.0 km(3)), indicating that the rest drained rapidly into the ocean at a rate of 8.2 km(3)/day, with the remaining stored water gradually lost over the following 5 weeks at ~1 km(3)/day, primarily by evapotranspiration. These results indicate that GPS networks can remotely track the spatial extent and daily evolution of terrestrial water storage following transient, extreme precipitation events, with implications for improving operational flood forecasts and understanding the response of drainage systems to large influxes of water.
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spelling pubmed-61550282018-09-25 Tracking the weight of Hurricane Harvey’s stormwater using GPS data Milliner, Chris Materna, Kathryn Bürgmann, Roland Fu, Yuning Moore, Angelyn W. Bekaert, David Adhikari, Surendra Argus, Donald F. Sci Adv Research Articles On 26 August 2017, Hurricane Harvey struck the Gulf Coast as a category four cyclone depositing ~95 km(3) of water, making it the wettest cyclone in U.S. history. Water left in Harvey’s wake should cause elastic loading and subsidence of Earth’s crust, and uplift as it drains into the ocean and evaporates. To track daily changes of transient water storage, we use Global Positioning System (GPS) measurements, finding a clear migration of subsidence (up to 21 mm) and horizontal motion (up to 4 mm) across the Gulf Coast, followed by gradual uplift over a 5-week period. Inversion of these data shows that a third of Harvey’s total stormwater was captured on land (25.7 ± 3.0 km(3)), indicating that the rest drained rapidly into the ocean at a rate of 8.2 km(3)/day, with the remaining stored water gradually lost over the following 5 weeks at ~1 km(3)/day, primarily by evapotranspiration. These results indicate that GPS networks can remotely track the spatial extent and daily evolution of terrestrial water storage following transient, extreme precipitation events, with implications for improving operational flood forecasts and understanding the response of drainage systems to large influxes of water. American Association for the Advancement of Science 2018-09-19 /pmc/articles/PMC6155028/ /pubmed/30255155 http://dx.doi.org/10.1126/sciadv.aau2477 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Milliner, Chris
Materna, Kathryn
Bürgmann, Roland
Fu, Yuning
Moore, Angelyn W.
Bekaert, David
Adhikari, Surendra
Argus, Donald F.
Tracking the weight of Hurricane Harvey’s stormwater using GPS data
title Tracking the weight of Hurricane Harvey’s stormwater using GPS data
title_full Tracking the weight of Hurricane Harvey’s stormwater using GPS data
title_fullStr Tracking the weight of Hurricane Harvey’s stormwater using GPS data
title_full_unstemmed Tracking the weight of Hurricane Harvey’s stormwater using GPS data
title_short Tracking the weight of Hurricane Harvey’s stormwater using GPS data
title_sort tracking the weight of hurricane harvey’s stormwater using gps data
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6155028/
https://www.ncbi.nlm.nih.gov/pubmed/30255155
http://dx.doi.org/10.1126/sciadv.aau2477
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