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Globally observed trends in mean and extreme river flow attributed to climate change

  • Lukas Gudmundsson*
  • , Julien Boulange
  • , Hong X. Do
  • , Simon N. Gosling
  • , Manolis G. Grillakis
  • , Aristeidis G. Koutroulis
  • , Michael Leonard
  • , Junguo Liu
  • , Hannes Müller Schmied
  • , Lamprini Papadimitriou
  • , Yadu Pokhrel
  • , Sonia I. Seneviratne
  • , Yusuke Satoh
  • , Wim Thiery
  • , Seth Westra
  • , Xuebin Zhang
  • , Fang Zhao
  • *Corresponding author for this work
  • Swiss Federal Institute of Technology Zurich
  • National Institute for Environmental Studies of Japan
  • Adelaide University
  • Nong Lam University
  • University of Michigan, Ann Arbor
  • University of Nottingham
  • Foundation for Research and Technology-Hellas
  • Technical University of Crete
  • Southern University of Science and Technology
  • Goethe University Frankfurt
  • Senckenberg Leibniz Biodiversity and Climate Research Centre Frankfurt (SBiK-F)
  • Cranfield University
  • Mott MacDonald
  • Michigan State University
  • International Institute for Applied Systems Analysis, Laxenburg
  • Vrije Universiteit Brussel
  • Environment and Climate Change Canada
  • Potsdam Institute for Climate Impact Research

Research output: Contribution to journalArticlepeer-review

Abstract

Anthropogenic climate change is expected to affect global river flow. Here, we analyze time series of low, mean, and high river flows from 7250 observatories around the world covering the years 1971 to 2010. We identify spatially complex trend patterns, where some regions are drying and others are wetting consistently across low, mean, and high flows. Trends computed from state-of-the-art model simulations are consistent with the observations only if radiative forcing that accounts for anthropogenic climate change is considered. Simulated effects of water and land management do not suffice to reproduce the observed trend pattern. Thus, the analysis provides clear evidence for the role of externally forced climate change as a causal driver of recent trends in mean and extreme river flow at the global scale.

Original languageEnglish
Pages (from-to)1159-1162
Number of pages4
JournalScience
Volume371
Issue number6534
DOIs
StatePublished - 12 Mar 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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