First look at changes in flood hazard in the Inter-Sectoral Impact Model Intercomparison Project ensemble

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.

[1]  S. Coles,et al.  An Introduction to Statistical Modeling of Extreme Values , 2001 .

[2]  M. Allen,et al.  Constraints on future changes in climate and the hydrologic cycle , 2002, Nature.

[3]  M. Parlange,et al.  Statistics of extremes in hydrology , 2002 .

[4]  Eric P. Smith,et al.  An Introduction to Statistical Modeling of Extreme Values , 2002, Technometrics.

[5]  B. Soden,et al.  Robust Responses of the Hydrological Cycle to Global Warming , 2006 .

[6]  Cecilia Svensson,et al.  Trends in river floods : why is there no clear signal in observations? , 2006 .

[7]  S. Solomon The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[8]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[9]  Taikan Oki,et al.  Global projections of changing risks of floods and droughts in a changing climate , 2008 .

[10]  Luc Feyen,et al.  Climate change impact on flood hazard in Europe: An assessment based on high-resolution climate simulations , 2008 .

[11]  B. Merz,et al.  Trends in flood magnitude, frequency and seasonality in Germany in the period 1951–2002 , 2009 .

[12]  L. Feyen,et al.  Flood hazard in Europe in an ensemble of regional climate scenarios , 2009 .

[13]  Shinjiro Kanae,et al.  First estimate of the future global population at risk of flooding , 2009 .

[14]  Jeroen C. J. H. Aerts,et al.  Simulating low‐probability peak discharges for the Rhine basin using resampled climate modeling data , 2010 .

[15]  Petteri Alho,et al.  National scale assessment of climate change impacts on flooding in Finland , 2010 .

[16]  John F. B. Mitchell,et al.  The next generation of scenarios for climate change research and assessment , 2010, Nature.

[17]  T. Oki,et al.  Multimodel Estimate of the Global Terrestrial Water Balance: Setup and First Results , 2011 .

[18]  P. Bubeck,et al.  Future flood risk estimates along the river Rhine , 2011 .

[19]  W. J. Shuttleworth,et al.  Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century , 2011 .

[20]  Dieter Gerten,et al.  Impact of a Statistical Bias Correction on the Projected Hydrological Changes Obtained from Three GCMs and Two Hydrology Models , 2011 .

[21]  R. Betts,et al.  Validation of River Flows in HadGEM1 and HadCM3 with the TRIP River Flow Model , 2011 .

[22]  G. Hegerl,et al.  Human contribution to more-intense precipitation extremes , 2011, Nature.

[23]  L. Feyen,et al.  Fluvial flood risk in Europe in present and future climates , 2012, Climatic Change.

[24]  Luc Feyen,et al.  Improving pan-European hydrological simulation of extreme events through statistical bias correction of RCM-driven climate simulations , 2011 .

[25]  Karl E. Taylor,et al.  An overview of CMIP5 and the experiment design , 2012 .

[26]  Volker Wulfmeyer,et al.  HESS Opinions "Should we apply bias correction to global and regional climate model data?" , 2012 .

[27]  A. Kay,et al.  Transient changes in flood frequency and timing in Britain under potential projections of climate change , 2012 .

[28]  T. Stocker,et al.  Managing the risks of extreme events and disasters to advance climate change adaptation. Special report of the Intergovernmental Panel on Climate Change. , 2012 .

[29]  A. Bronstert,et al.  Projections of climate change impacts on river flood conditions in Germany by combining three different RCMs with a regional eco-hydrological model , 2013, Climatic Change.

[30]  Taikan Oki,et al.  Changes in Flood Risk under Global Warming Estimated Using MIROC5 and the Discharge Probability Index , 2012 .

[31]  Felipe J. Colón-González,et al.  Multimodel assessment of water scarcity under climate change , 2013, Proceedings of the National Academy of Sciences.

[32]  T. Stacke,et al.  Multimodel projections and uncertainties of irrigation water demand under climate change , 2013 .

[33]  A. P. Dimri,et al.  Regional projections of North Indian climate for adaptation studies. , 2013, The Science of the total environment.

[34]  F. Piontek,et al.  A trend-preserving bias correction – the ISI-MIP approach , 2013 .

[35]  T. Stacke,et al.  Multi-model projections and uncertainties of irrigation water demand under climate change (Invited) , 2013 .

[36]  F. Piontek,et al.  The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework , 2013, Proceedings of the National Academy of Sciences.

[37]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .