Changing climate both increases and decreases European river floods

. 2019 Sep ; 573 (7772) : 108-111. [epub] 20190828

Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic

Typ dokumentu historické články, časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid31462777
Odkazy

PubMed 31462777
DOI 10.1038/s41586-019-1495-6
PII: 10.1038/s41586-019-1495-6
Knihovny.cz E-zdroje

Climate change has led to concerns about increasing river floods resulting from the greater water-holding capacity of a warmer atmosphere1. These concerns are reinforced by evidence of increasing economic losses associated with flooding in many parts of the world, including Europe2. Any changes in river floods would have lasting implications for the design of flood protection measures and flood risk zoning. However, existing studies have been unable to identify a consistent continental-scale climatic-change signal in flood discharge observations in Europe3, because of the limited spatial coverage and number of hydrometric stations. Here we demonstrate clear regional patterns of both increases and decreases in observed river flood discharges in the past five decades in Europe, which are manifestations of a changing climate. Our results-arising from the most complete database of European flooding so far-suggest that: increasing autumn and winter rainfall has resulted in increasing floods in northwestern Europe; decreasing precipitation and increasing evaporation have led to decreasing floods in medium and large catchments in southern Europe; and decreasing snow cover and snowmelt, resulting from warmer temperatures, have led to decreasing floods in eastern Europe. Regional flood discharge trends in Europe range from an increase of about 11 per cent per decade to a decrease of 23 per cent. Notwithstanding the spatial and temporal heterogeneity of the observational record, the flood changes identified here are broadly consistent with climate model projections for the next century4,5, suggesting that climate-driven changes are already happening and supporting calls for the consideration of climate change in flood risk management.

Centre for Ecology and Hydrology Wallingford UK

CSE Control Systems Engineer Renewable Energy Systems and Technology Tirana Albania

Czech Hydrometeorological Institute Prague Czechia

Department for Catchment Hydrology Helmholtz Centre for Environmental Research Halle Germany

Department of Agricultural Sciences University of Naples Federico 2 Naples Italy

Department of Architecture and Civil Engineering University of Bath Bath UK

Department of Civil Chemical Environmental and Materials Engineering Università di Bologna Bologna Italy

Department of Civil Engineering Dokuz Eylul University Izmir Turkey

Department of Civil Engineering Hydraulic Energy and Environment Universidad Politécnica de Madrid Madrid Spain

Department of Engineering University of Messina Messina Italy

Department of Engineering University Roma Tre Rome Italy

Department of Environment Land and Infrastructure Engineering Politecnico di Torino Turin Italy

Department of Geography and Planning University of Liverpool Liverpool UK

Department of Geography Faculty of Science University of Zagreb Zagreb Croatia

Department of Hydrological Research Ukrainian Hydrometeorological Institute Kiev Ukraine

Department of Hydrology and Hydrodynamics Institute of Geophysics Polish Academy of Sciences Warsaw Poland

Department of Land and Water Resources Management Faculty of Civil Engineering Slovak University of Technology in Bratislava Bratislava Slovakia

Department of Land Environment Agriculture and Forestry University of Padova Padua Italy

Department of Land Hydrology Lomonosov Moscow State University Moscow Russia

Faculty of Civil and Geodetic Engineering University of Ljubljana Ljubljana Slovenia

Faculty of Civil Engineering Architecture and Geodesy Split University Split Croatia

Faculty of Geography University of Belgrade Belgrade Serbia

Finnish Environment Institute Helsinki Finland

Forecast Department European Centre for Medium Range Weather Forecasts Reading UK

Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences Potsdam Germany

Hydrometeorological Institute Odessa State Environmental University Odessa Ukraine

Institute of Environmental Engineering ETH Zurich Zurich Switzerland

Institute of Geo Sciences Energy Water and Environment Polytechnic University of Tirana Tirana Albania

Institute of Geography Faculty of Natural Sciences and Mathematics Ss Cyril and Methodius University Skopje North Macedonia

Institute of Hydraulic Engineering and Water Resources Management Technische Universität Wien Vienna Austria

Institute of Risk and Uncertainty University of Liverpool Liverpool UK

Irish Climate Analysis and Research Units Department of Geography Maynooth University Maynooth Ireland

Irstea UR RiverLy Lyon Villeurbanne France

Norwegian Water Resources and Energy Directorate Oslo Norway

Swedish Meteorological and Hydrological Institute Norrköping Sweden

University of Architecture Civil Engineering and Geodesy Sofia Bulgaria

Zobrazit více v PubMed

IPCC. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (eds Field, C. B. et al.) (Cambridge Univ. Press, 2012).

European Academies’ Science Advisory Council. Extreme Weather Events in Europe. Report No. 22 https://easac.eu/publications/details/extreme-weather-events-in-europe/ (EASAC, 2018).

Hall, J. et al. Understanding flood regime changes in Europe: a state of the art assessment. Hydrol. Earth Syst. Sci. 18, 2735–2772 (2014). DOI

Kundzewicz, Z. et al. Differences in flood hazard projections in Europe – their causes and consequences for decision making. Hydrol. Sci. J. 62, 1–14 (2017).

Thober, S. et al. Multi-model ensemble projections of European river floods and high flows at 1.5, 2, and 3 degrees global warming. Environ. Res. Lett. 13, 014003 (2018). DOI

Desai, B., Maskrey, A., Peduzzi, P., De Bono, A., & Herold, C. Making Development Sustainable: The Future of Disaster Risk Management. Global Assessment Report on Disaster Risk Reduction http://archive-ouverte.unige.ch/unige:78299 (UNISDR, 2015).

Winsemius, H. C. et al. Global drivers of future river flood risk. Nat. Clim. Change 6, 381–385 (2016). DOI

Blöschl, G. et al. Changing climate shifts timing of European floods. Science 357, 588–590 (2017). DOI

Mangini, W. et al. Detection of trends in magnitude and frequency of flood peaks across Europe. Hydrol. Sci. J. 63, 493–512 (2018). DOI

Berghuijs, W., Aalbers, E., Larsen, J., Trancoso, R. & Woods, R. Recent changes in extreme floods across multiple continents. Environ. Res. Lett. 12, 114035 (2017). DOI

Hodgkins, G. A. et al. Climate-driven variability in the occurrence of major floods across North America and Europe. J. Hydrol. 552, 704–717 (2017). DOI

Hall, J. et al. A European Flood Database: facilitating comprehensive flood research beyond administrative boundaries. Proc. Int. Assoc. Hydrol. Sci. 370, 89–95 (2015).

Sivapalan, M., Blӧschl, G., Merz, R. & Gutknecht, D. Linking flood frequency to long-term water balance: incorporating effects of seasonality. Wat. Resour. Res. 41, W06012 (2005). DOI

Bayliss, A. C. & Jones, R. C. Peaks-over-threshold Flood Database: Summary Statistics and Seasonality. Report No. 121 (Institute of Hydrology, 1993).

Schröter, K., Kunz, M., Elmer, F., Mühr, B. & Merz, B. What made the June 2013 flood in Germany an exceptional event? A hydro-meteorological evaluation. Hydrol. Earth Syst. Sci. 19, 309–327 (2015). DOI

Mediero, L., Santillán, D., Garrote, L. & Granados, A. Detection and attribution of trends in magnitude, frequency and timing of floods in Spain. J. Hydrol. 517, 1072–1088 (2014). DOI

Hall, J. & Blӧschl, G. Spatial patterns and characteristics of flood seasonality in Europe. Hydrol. Earth Syst. Sci. 22, 3883–3901 (2018). DOI

IPCC. Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013).

Archer, C. L. & Caldeira, K. Historical trends in the jet streams. Geophys. Res. Lett. 35, 08803 (2008). DOI

Kang, S. M. & Lu, J. Expansion of the Hadley cell under global warming: winter versus summer. J. Clim. 25, 8387–8393 (2012). DOI

Amponsah, W. et al. Integrated high-resolution dataset of high-intensity European and Mediterranean flash floods. Earth Syst. Sci. Data 10, 1783–1794 (2018). DOI

Ban, N., Schmidli, J. & Schär, C. Heavy precipitation in a changing climate: does short-term summer precipitation increase faster? Geophys. Res. Lett. 42, 1165–1172 (2015). DOI

Rogger, M. et al. Land use change impacts on floods at the catchment scale: challenges and opportunities for future research. Wat. Resour. Res. 53, 5209–5219 (2017). DOI

Perdigão, R. A. P., Pires, C. A. L. & Hall, J. Synergistic dynamic theory of complex coevolutionary systems: disentangling nonlinear spatiotemporal controls on precipitation. Preprint at https://arxiv.org/abs/1611.03403 (2016).

Estilow, T. W., Young, A. H. & Robinson, D. A. A long-term Northern Hemisphere snow cover extent data record for climate studies and monitoring. Earth Syst. Sci. Data 7, 137–142 (2015). DOI

Frolova, N. L. et al. Hydrological hazards in Russia: origin, classification, changes and risk assessment. Nat. Hazards 88, 103–131 (2017). DOI

Mediero, L. et al. Identification of coherent flood regions across Europe by using the longest streamflow records. J. Hydrol. (Amst.) 528, 341–360 (2015). DOI

Salinas, J. L., Castellarin, A., Kohnova, S. & Kjeldsen, T. Regional parent flood frequency distributions in Europe-Part 2: climate and scale controls. Hydrol. Earth Syst. Sci. 18, 4391–4401 (2014). DOI

Xoplaki, E., Gonzalez-Rouco, J. F., Luterbacher, J. & Wanner, H. Wet season Mediterranean precipitation variability: influence of large-scale dynamics and trends. Clim. Dyn. 23, 63–78 (2004). DOI

Brooks, H. E. Severe thunderstorms and climate change. Atmos. Res. 123, 129–138 (2013). DOI

Vogt, J. et al. A pan-European River and Catchment Database. Report No. EUR 22920 (Office for Official Publications of the European Communities, 2007).

Haylock, M. et al. A European daily high-resolution gridded data set of surface temperature and precipitation for 1950–2006. J. Geophys. Res. 113, D20119 (2008). DOI

van den Dool, H., Huang, J. & Fan, Y. Performance and analysis of the constructed analogue method applied to US soil moisture over 1981–2001. J. Geophys. Res. 108, 8617 (2003). DOI

Sen, P. K. Estimates of the regression coefficient based on Kendall’s tau. J. Am. Stat. Assoc. 63, 1379–1389 (1968). DOI

Theil, H. A rank-invariant method of linear and polynomial regression analysis. Part 1. Proc. K. Ned. Akad. Wet. 53, 386–392 (1950).

Mann, H. B. Nonparametric tests against trend. Econometrica 13, 245–259 (1945). DOI

Hiemstra, P. H., Pebesma, E. J., Twenhӧfel, C. J. & Heuvelink, G. B. Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network. Comput. Geosci. 35, 1711–1721 (2009). DOI

Wilcox, R. A note on the Theil-Sen regression estimator when the regressor is random and the error term is heteroscedastic. Biometrical J. 40, 261–268 (1998). DOI

Helsel, D. R. & Frans, L. M. Regional Kendall test for trend. Environ. Sci. Technol. 40, 4066–4073 (2006). DOI

Renard, B., Lang, M. & Bois, P. Statistical analysis of extreme events in a non-stationary context via a Bayesian framework: case study with peak-over-threshold data. Stoch. Env. Res. Risk A. 21, 97–112 (2006). DOI

Martins, E. S. & Stedinger, J. R. Generalized maximum-likelihood generalized extreme-value quantile estimators for hydrologic data. Wat. Resour. Res. 36, 737–744 (2000). DOI

Watanabe, S. Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory. J. Mach. Learn. Res. 11, 3571–3594 (2010).

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