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Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency

The lower Brahmaputra River in Bangladesh and Northeast India often floods during the monsoon season, with catastrophic consequences for people throughout the region. While most climate models predict an intensified monsoon and increase in flood risk with warming, robust baseline estimates of natura...

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Autores principales: Rao, Mukund P., Cook, Edward R., Cook, Benjamin I., D’Arrigo, Rosanne D., Palmer, Jonathan G., Lall, Upmanu, Woodhouse, Connie A., Buckley, Brendan M., Uriarte, Maria, Bishop, Daniel A., Jian, Jun, Webster, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692521/
https://www.ncbi.nlm.nih.gov/pubmed/33243991
http://dx.doi.org/10.1038/s41467-020-19795-6
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author Rao, Mukund P.
Cook, Edward R.
Cook, Benjamin I.
D’Arrigo, Rosanne D.
Palmer, Jonathan G.
Lall, Upmanu
Woodhouse, Connie A.
Buckley, Brendan M.
Uriarte, Maria
Bishop, Daniel A.
Jian, Jun
Webster, Peter J.
author_facet Rao, Mukund P.
Cook, Edward R.
Cook, Benjamin I.
D’Arrigo, Rosanne D.
Palmer, Jonathan G.
Lall, Upmanu
Woodhouse, Connie A.
Buckley, Brendan M.
Uriarte, Maria
Bishop, Daniel A.
Jian, Jun
Webster, Peter J.
author_sort Rao, Mukund P.
collection PubMed
description The lower Brahmaputra River in Bangladesh and Northeast India often floods during the monsoon season, with catastrophic consequences for people throughout the region. While most climate models predict an intensified monsoon and increase in flood risk with warming, robust baseline estimates of natural climate variability in the basin are limited by the short observational record. Here we use a new seven-century (1309–2004 C.E) tree-ring reconstruction of monsoon season Brahmaputra discharge to demonstrate that the early instrumental period (1956–1986 C.E.) ranks amongst the driest of the past seven centuries (13(th) percentile). Further, flood hazard inferred from the recurrence frequency of high discharge years is severely underestimated by 24–38% in the instrumental record compared to previous centuries and climate model projections. A focus on only recent observations will therefore be insufficient to accurately characterise flood hazard risk in the region, both in the context of natural variability and climate change.
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spelling pubmed-76925212020-12-03 Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency Rao, Mukund P. Cook, Edward R. Cook, Benjamin I. D’Arrigo, Rosanne D. Palmer, Jonathan G. Lall, Upmanu Woodhouse, Connie A. Buckley, Brendan M. Uriarte, Maria Bishop, Daniel A. Jian, Jun Webster, Peter J. Nat Commun Article The lower Brahmaputra River in Bangladesh and Northeast India often floods during the monsoon season, with catastrophic consequences for people throughout the region. While most climate models predict an intensified monsoon and increase in flood risk with warming, robust baseline estimates of natural climate variability in the basin are limited by the short observational record. Here we use a new seven-century (1309–2004 C.E) tree-ring reconstruction of monsoon season Brahmaputra discharge to demonstrate that the early instrumental period (1956–1986 C.E.) ranks amongst the driest of the past seven centuries (13(th) percentile). Further, flood hazard inferred from the recurrence frequency of high discharge years is severely underestimated by 24–38% in the instrumental record compared to previous centuries and climate model projections. A focus on only recent observations will therefore be insufficient to accurately characterise flood hazard risk in the region, both in the context of natural variability and climate change. Nature Publishing Group UK 2020-11-26 /pmc/articles/PMC7692521/ /pubmed/33243991 http://dx.doi.org/10.1038/s41467-020-19795-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rao, Mukund P.
Cook, Edward R.
Cook, Benjamin I.
D’Arrigo, Rosanne D.
Palmer, Jonathan G.
Lall, Upmanu
Woodhouse, Connie A.
Buckley, Brendan M.
Uriarte, Maria
Bishop, Daniel A.
Jian, Jun
Webster, Peter J.
Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency
title Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency
title_full Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency
title_fullStr Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency
title_full_unstemmed Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency
title_short Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency
title_sort seven centuries of reconstructed brahmaputra river discharge demonstrate underestimated high discharge and flood hazard frequency
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692521/
https://www.ncbi.nlm.nih.gov/pubmed/33243991
http://dx.doi.org/10.1038/s41467-020-19795-6
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