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


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Article Info

DATE

2020-11-26

AUTHORS

Mukund P. Rao, Edward R. Cook, Benjamin I. Cook, Rosanne D. D’Arrigo, Jonathan G. Palmer, Upmanu Lall, Connie A. Woodhouse, Brendan M. Buckley, Maria Uriarte, Daniel A. Bishop, Jun Jian, Peter J. Webster

ABSTRACT

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 (13th 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. More... »

PAGES

6017

References to SciGraph publications

  • 1990. Methods of Dendrochronology, Applications in the Environmental Sciences in NONE
  • 2018-02-02. The response of relative humidity to centennial-scale warming over the southeastern Tibetan Plateau inferred from tree-ring width chronologies in CLIMATE DYNAMICS
  • 2000-09. An Assessment of Flood Forecasting in Bangladesh: The Experience of the 1998 Flood in NATURAL HAZARDS
  • 2019-03-25. Sensitivity of speleothem records in the Indian Summer Monsoon region to dry season infiltration in SCIENTIFIC REPORTS
  • 2015-02-17. Trends and oscillations in the Indian summer monsoon rainfall over the last two millennia in NATURE COMMUNICATIONS
  • 2014-06-01. Consistent increase in High Asia's runoff due to increasing glacier melt and precipitation in NATURE CLIMATE CHANGE
  • 1954-06. Some necessary conditions for common-factor analysis in PSYCHOMETRIKA
  • 2012-10-28. Robustness and uncertainties in the new CMIP5 climate model projections in NATURE CLIMATE CHANGE
  • 2018-12-17. Anthropogenic stresses on the world’s big rivers in NATURE GEOSCIENCE
  • 2002-01. Increasing risk of great floods in a changing climate in NATURE
  • 2019-05-29. Asia’s shrinking glaciers protect large populations from drought stress in NATURE
  • 2015-08-21. Moisture dipole over the Tibetan Plateau during the past five and a half centuries in NATURE COMMUNICATIONS
  • 2013-06-09. Global flood risk under climate change in NATURE CLIMATE CHANGE
  • 2011-08-13. RCP 8.5—A scenario of comparatively high greenhouse gas emissions in CLIMATIC CHANGE
  • 2012-06-24. Climate change and the South Asian summer monsoon in NATURE CLIMATE CHANGE
  • 2012-12-05. Tree-ring reconstructed summer temperature anomalies for temperate East Asia since 800 C.E. in CLIMATE DYNAMICS
  • 2019-08-28. 500-year tree-ring reconstruction of Salween River streamflow related to the history of water supply in Southeast Asia in CLIMATE DYNAMICS
  • 2019-03-05. A Euro-Mediterranean tree-ring reconstruction of the winter NAO index since 910 C.E. in CLIMATE DYNAMICS
  • 2016-03-30. Moisture increase in response to high-altitude warming evidenced by tree-rings on the southeastern Tibetan Plateau in CLIMATE DYNAMICS
  • 2013-08-04. Rising river flows throughout the twenty-first century in two Himalayan glacierized watersheds in NATURE GEOSCIENCE
  • 2018-09-24. Annual Growth Rings in Two Mangrove Species from the Sundarbans, Bangladesh Demonstrate Linkages to Sea-Level Rise and Broad-Scale Ocean-Atmosphere Variability in WETLANDS
  • 2015-12-21. Global drivers of future river flood risk in NATURE CLIMATE CHANGE
  • 2016-04-06. Northern Hemisphere hydroclimate variability over the past twelve centuries in NATURE
  • 2015-02-17. Hydro-climatic hazards for crops and cropping system in the chars of the Jamuna River and potential adaptation options in NATURAL HAZARDS
  • 2003-01. Three Recent Extreme Floods in Bangladesh: A Hydro-Meteorological Analysis in NATURAL HAZARDS
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    http://scigraph.springernature.com/pub.10.1038/s41467-020-19795-6

    DOI

    http://dx.doi.org/10.1038/s41467-020-19795-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1132927231

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/33243991


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