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A large-sample investigation into uncertain climate change impacts on high flows across Great Britain

  • Rosie A Lane*
  • , Gemma Coxon
  • , Jim E Freer
  • , Jan Seibert
  • , Thorsten Wagener
  • *Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

23 Citations (Scopus)
176 Downloads (Pure)

Abstract

Climate change may significantly increase flood risk globally, but there are large uncertainties in both future climatic changes and how these propagate into changing river flows. Here, the impact of climate change on the magnitude and frequency of high flows is analysed for Great Britain (GB) to provide the first spatially consistent GB projections to include both climate ensembles and hydrological model parameter uncertainties. We use the latest high-resolution (12km) regional climate model ensemble from the UK Climate Projections (UKCP18). These projections are based on a perturbed-physics ensemble of 12 regional climate model simulations and allow exploration of climate model uncertainty beyond the variability caused by the use of different models. We model 346 larger (>144km2) catchments across GB using the DECIPHeR hydrological modelling framework. Generally, results indicated an increase in the magnitude and frequency of high flows (Q10, Q1 and annual maximum) along the west coast of GB in the future (2050-2075), with increases in annual maximum flows of up to 65% for west Scotland. In contrast, median flows (Q50) were projected to decrease across GB. Even when using an ensemble based on a single RCM structure, all flow projections contained large uncertainties. While the RCM parameters were the largest source of uncertainty overall, hydrological modelling uncertainties were considerable in east and south-east England. Regional variation in flow projections were found to relate to i) differences in climatic change and ii) catchment conditions during the baseline period as characterised by the runoff coefficient (mean discharge divided by mean precipitation). Importantly, increased heavy-precipitation events (defined by an increase in 99th percentile precipitation) did not always result in increased flood flows for catchments with low runoff coefficients, highlighting the varying factors leading to changes in high flows. These results provide a national overview of climate change impacts on high flows across GB, which will inform climate change adaptation, and highlight the impact of hydrological model parameter uncertainties when modelling climate change impact on high flows.
Original languageEnglish
Pages (from-to)5535–5554
Number of pages20
JournalHydrology and Earth System Sciences
Volume26
Issue number21
DOIs
Publication statusPublished - 7 Nov 2022

Bibliographical note

Funding Information:
This work has been supported by the Engineering and Physical Sciences Research Council (grant no. EP/L016214/1), as part of the Water Informatics Science and Engineering Centre for Doctoral Training.

Funding Information:
We are grateful to Emma Robinson for providing the code used to calculate PET for the CHESS-PE dataset and for her advice in applying this to the UKCP18 data. We also thank Louise Slater and Jeff Neal for their helpful comments on the manuscript. Jim Freer was partly funded for his time by the Global Water Futures programme, University of Saskatchewan. Support for Thorsten Wagener comes from the Alexander von Humboldt Foundation in the framework of the Alexander von Humboldt Professorship endowed by the German Federal Ministry of Education and Research.

Publisher Copyright:
Copyright © 2022 Rosanna A. Lane et al.

UN SDGs

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

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Research Groups and Themes

  • Water and Environmental Engineering

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