First look at changes in flood hazard in the Inter-Sectoral Impact Model Intercomparison Project ensemble
Year: 2013
Type: article
Abstract: Climate change due to anthropogenic greenhouse gas emissions is expected to increase the frequency and intensity of precipitation events, which is likely to affect the probability of flooding into the future. In this paper we use river flow simulations from nine global hydrology and land surface models to explore uncertainties in the potential impacts of climate change on flood hazard at global scale. As an indicator of flood hazard we looked at changes in the 30-y return level of 5-d average peak flows under representative concentration pathway RCP8.5 at the end of this century. Not everywhere does climate change result in an increase in flood hazard: decreases in the magnitude and frequency of the 30-y return level of river flow occur at roughly one-third (20-45%) of the global land grid points, particularly in areas where the hydrograph is dominated by the snowmelt flood peak in spring. In most model experiments, however, an increase in flooding frequency was found in more than half of the grid points. The current 30-y flood peak is projected to occur in more than 1 in 5 y across 5-30% of land grid points. The large-scale patterns of change are remarkably consistent among impact models and even the driving climate models, but at local scale and in individual river basins there can be disagreement even on the sign of change, indicating large modeling uncertainty which needs to be taken into account in local adaptation studies.
Institutions: Met Office, University of Reading, UK Centre for Ecology & Hydrology, City College of New York, University of Nottingham, International Livestock Research Institute, Potsdam Institute for Climate Impact Research, Institute of Industrial Science, The University of Tokyo, The University of Tokyo, National Institute for Environmental Studies, Max Planck Society, Max Planck Institute for Meteorology, Utrecht University, University of Bonn, University of New Hampshire
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2107073505
