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

Earth Sciences

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

M. P. Rao, E. R. Cook, et al.

Discover how a seven-century tree-ring reconstruction reveals the underestimated flood risk of the Brahmaputra River, as highlighted by Mukund P. Rao and colleagues. This intriguing study challenges our reliance on recent instrumental records, shedding light on historical discharge patterns during the monsoon season.... show more
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.
Publisher
Nature Communications
Published On
Nov 26, 2020
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
Tags
Brahmaputra River
flood risk
monsoon season
tree-ring reconstruction
natural variability
climate models
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