REFERENCES

• Agrawala, S. and Fankhauser, S., eds., 2008. Economic aspects of adaptation to climate change, costs, benefits and policy instruments. Paris: OECD.
   Google Scholar
• Alexander, L.V., et al., 2006. Global observed changes in daily climate extremes of temperature and precipitation. Journal of Geophysical Research—Atmospheres, 111, D05109.
   Web of Science ®Google Scholar
• Alexander, L.V. and Arblaster, J.M., 2009. Assessing trends in observed and modelled climate extremes over Australia in relation to future projections. International Journal of Climatology, 29 (3), 417–435.
   Web of Science ®Google Scholar
• Anagnostopoulos, G.G., et al., 2010. A comparison of local and aggregated climate model outputs with observed data. Hydrological Sciences Journal, 55 (7), 1094–1110.
   Web of Science ®Google Scholar
• Annamalai, H., Hamilton, K., and Sperber, K.R., 2007. The South Asian summer monsoon and its relationship with ENSO in the IPCC AR4 simulations. Journal of Climate, 20, 1071–1092.
   Web of Science ®Google Scholar
• Anyamba, A., et al. 2006. Developing global climate anomalies suggest potential disease risks for 2006–2007. International Journal of Health Geographics, 5, 60.
   PubMedGoogle Scholar
• Arkell, B.P. and Darch, G.J.C., 2006. Impact of climate change on London’s transport network. In: Proceedings of the Institution of Civil Engineers: municipal engineer, 159. London: ME4, 231–237.
   Google Scholar
• Aryal, S.K., et al., 2009. Characterizing and modeling temporal and spatial trends in rainfall extremes. Journal of Hydrometeorology, 10 (3), 241–253.
   Web of Science ®Google Scholar
• ASC (Adaptation Sub-Committee), 2012. Climate change—is the UK preparing for flooding and water scarcity? Adaptation Sub-Committee Progress Report 2012.
   Google Scholar
• Barnett, T.P., et al., 2008. Human-induced changes in the hydrology of the western United States. Science, 319 (5866), 1080–1083.
   PubMed Web of Science ®Google Scholar
• Barredo, J.I., 2009. Normalised flood losses in Europe: 1970–2006. Natural Hazards and Earth System Sciences, 9, 97–104.
   Web of Science ®Google Scholar
• Barredo, J.I., Sauri, D., and Llasat, M.C., 2012. Assessing trends in insured losses from floods in Spain 1971–2008. Natural Hazards and Earth System Sciences, 12, 1723–1729.
   Web of Science ®Google Scholar
• Barros, V., et al., 2004. The major discharge events in the Paraguay River. Journal of Hydrometeorology, 5 (6), 1161.
   Web of Science ®Google Scholar
• Barthel, F. and Neumayer, E., 2012. A trend analysis of normalized insured damage from natural disasters. Climatic Change, 113 (2), 215–237.
   Web of Science ®Google Scholar
• Bates, B.C., et al., 2008. Climate change and water. Technical paper of the Intergovernmental Panel on Climate Change. Geneva: IPCC Secretariat.
   Google Scholar
• Benito, G., et al., 2010. Management of alluvial aquifers in two southern African ephemeral rivers: implications for IWRM. Water Resources Management, 24, 641–667.
   Web of Science ®Google Scholar
• Benito, G. and Machado, M.J., 2012. Floods in the Iberian Peninsula. In: Z.W. Kundzewicz, ed. Changes in flood risk in Europe. IAHS Special Publications 10. Wallingford: IAHS Press and CRC Press/Balkema, 372–383.
   Google Scholar
• Blöschl, G. and Montanari, A., 2010. Climate change impacts—throwing the dice? Hydrological Processes, 24 (3), 374–381. doi:10.1002/hyp.7574
   Web of Science ®Google Scholar
• Boberg, F., et al., 2009. Improved confidence in climate change projections of precipitation evaluated using daily statistics from the PRUDENCE ensemble. Climate Dynamics, 32 (7–8), 1097–1106.
   Web of Science ®Google Scholar
• Boberg, F., et al., 2010. Improved confidence in climate change projections of precipitation further evaluated using daily statistics from the ENSEMBLES models. Climate Dynamics, 35 (7–8), 1509–1520.
   Web of Science ®Google Scholar
• Bouwer, L.M., 2011. Have disaster losses increased due to anthropogenic climate change? Bulletin of the American Meteorological Society, 92, 39–46.
   Web of Science ®Google Scholar
• Bouwer, L.M., 2013. Projections of future extreme weather losses under changes in climate and exposure. Risk Analysis, 33 (5), 915–930.
   PubMed Web of Science ®Google Scholar
• Bouwer, L.M., Bubeck, P., and Aerts, J.C.J.H., 2010. Changes in future flood risk due to climate and development in a Dutch polder area. Global Environmental Change, 20, 463–471.
   Web of Science ®Google Scholar
• Bouwer, L.M., Vermaat, J.E., and Aerts, J.C.J.H., 2008. Regional sensitivities of mean and peak river discharge to climate variability in Europe. Journal of Geophysical Research—Atmospheres, 113, D19103.
   Web of Science ®Google Scholar
• Bouwer, L.M., et al., 2007. Confronting disaster losses. Science, 318, 753.
   PubMed Web of Science ®Google Scholar
• xBradshaw, C.J.A., et al., 2007. Global evidence that deforestation amplifies flood risk and severity in the developing world. Global Change Biology, 13, 1–17.
   Web of Science ®Google Scholar
• Brakenridge, G.R., et al., 2013. Global mapping of storm surges, 2002–present and the assessment of coastal vulnerability. Natural Hazards, 66 (3), 1295–1312. doi:10.1007/s11069-012-0317-z
   Web of Science ®Google Scholar
• Brázdil, R. and Kundzewicz, Z.W., 2006. Historical hydrology—editorial. Hydrological Sciences Journal, 51 (5), 733–738.
   Web of Science ®Google Scholar
• Brázdil, R., Kundzewicz, Z.W., and Benito, G., 2006. Historical hydrology for studying flood risk in Europe. Hydrological Sciences Journal, 51 (5), 739–764.
   Web of Science ®Google Scholar
• Camilloni, I.A. and Barros, V.R., 2003. Extreme discharge events in the Paraná River and their climate forcing. Journal of Hydrology, 278 (1–4), 94–106.
   Web of Science ®Google Scholar
• Cavallo, E. and Noy, I., 2009. The economics of natural disasters: a survey [online]. RES Working Papers 4649, Inter-American Development Bank, Research Department. Available from: http://ideas.repec.org/p/idb/wpaper/4649.html [Accessed 22 November 2013].
   Google Scholar
• Chang, H., Franczyk, J., and Kim, C., 2009. What is responsible for increasing flood risks? The case of Gangwon Province, Korea. Natural Hazards, 48, 399–354.
   Web of Science ®Google Scholar
• Changnon, S., ed., 1996. The great flood of 1993. Boulder, CO: Westview Press.
   Google Scholar
• Changnon, S.A., 2001. Damaging thunderstorm activity in the United States. Bulletin of the American Meteorological Society, 82, 597–608.
   Web of Science ®Google Scholar
• Choi, O. and Fisher, A., 2003. The impacts of socioeconomic development and climate change on severe weather catastrophe losses: Mid-Atlantic Region (MAR) and the US. Climatic Change, 58 (1–2), 149–170.
   Web of Science ®Google Scholar
• Christensen, J.H., et al., 2007. Regional climate projections. In: S. Solomon, et al., eds. Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 847–940.
   Google Scholar
• Ciscar, J.C., ed., 2009. Climate change impacts in Europe. Final report of the PESETA research project. EUR 24093 EN–2009. Luxembourg: European Communities.
   Google Scholar
• Conway, D., et al., 2009. Rainfall and water resources variability in sub–Saharan Africa during the twentieth century. Journal of Hydrometeorology, 10 (1), 41–59.
   Web of Science ®Google Scholar
• Cunderlik, J.M. and Ouarda, T.B.M.J., 2009. Trends in the timing and magnitude of floods in Canada. Journal of Hydrology, 375 (3–4), 471–480.
   Web of Science ®Google Scholar
• Curriero, F.C., et al., 2001. The association between extreme precipitation and waterborne disease outbreaks in the United States, 1948–1994. American Journal of Public Health, 91 (8), 1194–1199. doi:10.2105/AJPH.91.8.1194
   PubMed Web of Science ®Google Scholar
• Dankers, R. and Feyen, L., 2008. Climate change impact on flood hazard in Europe: an assessment based on high resolution climate simulations. Journal of Geophysical Research—Atmospheres, 113, D19105.
   Web of Science ®Google Scholar
• Dash, S., et al., 2007. Some evidence of climate change in twentieth-century India. Climatic Change, 85, 299–321.
   Web of Science ®Google Scholar
• Defra (Department for Environment, Food and Rural Affairs), 2004. Scientific and technical aspects of climate change, including impacts and adaptation and associated costs. London: Defra.
   Google Scholar
• DeGaetano, A.T., 2009. Time-dependent changes in extreme-precipitation return-period amounts in the Continental United States. Journal of Applied Meteorology and Climatology, 48, 2086–2099.
   Web of Science ®Google Scholar
• Di Baldassare, G., et al., 2010. Flood fatalities in Africa: from diagnosis to mitigation. Geophysical Research Letters, 37, L22402.
   Web of Science ®Google Scholar
• Douglas, I., 2009. Climate change, flooding and food security in south Asia. Food Security, 1 (2), 127–136.
   Web of Science ®Google Scholar
• Downton, M.W., Miller, J.Z.B., and Pielke, R.A., 2005. Reanalysis of US National Weather Service flood loss database. Natural Hazards Review, 6, 13–22.
   Google Scholar
• Dussaillant, A., et al., 2010. Repeated glacial–lake outburst floods in Patagonia: an increasing hazard? Natural Hazards, 54 (2), 469–481.
   Web of Science ®Google Scholar
• Ebi, K.L., et al., 2008. Effects of global change on human health. In: J.L. Gamble, ed. Analyses of the effects of global change on human health and welfare and human systems. Report by the US Climate Change Science Program and the Subcommittee on Global Change Research. Washington, DC: US Environmental Protection Agency, 2-1–2-78.
   Google Scholar
• ECLAC, 2003. Handbook for estimating the socio-economic and environmental effects of disaster [online]. Mexico City: ECLAC, LC/MEX/G.5. Available from: http://www.eclac.org/publicaciones/xml/4/12774/lcmexg5i_VOLUME_Ia.pdf [Accessed 22 November 2013].
   Google Scholar
• EEA (European Environment Agency), 2004. Impacts of Europe’s changing climate. An indicator-based assessment. Copenhagen: EEA Report no. 2/2004, European Environment Agency.
   Google Scholar
• Engelthaler, D.M., et al., 1999. Climatic and environmental patterns associated with hantavirus pulmonary syndrome, Four Corners region, United States. Emerging Infectious Diseases, 5 (1), 87–94.
   PubMed Web of Science ®Google Scholar
• Evans, E.R. and Ashley, G.B.O., 2004. Foresight future flooding: scientific summary. Future risks and their drivers. London: Office of Science and Technology.
   Google Scholar
• Evans, J.P. and Boyer-Souchet, I., 2012. Local sea surface temperatures add to extreme precipitation in northeast Australia during La Niña. Geophysical Research Letters, 39, L10803. doi:10.1029/2012GL052014
   PubMed Web of Science ®Google Scholar
• Fengqing, J., et al., 2005. Magnification of flood disasters and its relation to regional precipitation and local human activities since the 1980s in Xinxiang, Northwestern China. Natural Hazards, 36, 307–330.
   Web of Science ®Google Scholar
• Feyen, L., Barredo, J.I., and Dankers, R., 2009. Implications of global warming and urban land use change on flooding in Europe. Water and urban development paradigms—towards an integration of engineering. In: J. Feyen, K. Shannon, and M. Neville, eds. Design and management approaches. Boca Raton, FL: CRC Press, 217–225.
   Google Scholar
• Field, C.B., et al., eds., 2012. Managing the risks of extreme events and disasters to advance climate change adaptation. Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC). Cambridge: Cambridge University Press.
   Google Scholar
• Fowler, H.J. and Wilby, R.L., 2010. Detecting changes in seasonal precipitation extremes using regional climate model projections: Implications for managing fluvial flood risk. Water Resources Research, 46, W0525.
   Web of Science ®Google Scholar
• Gallant, A.J.E. and Karoly, D.J., 2010. A combined climate extremes index for the Australian region. Journal of Climate, 23 (23), 6153–6165.
   Web of Science ®Google Scholar
• Gerten, D., et al., 2008. Causes of change in 20th century global river discharge. Geophysical Research Letters, 35, L20405.
   Web of Science ®Google Scholar
• Gleason, K.L., et al., 2008. A revised U.S. climate extremes index. Journal of Climate, 21 (10), 2124–2137.
   Web of Science ®Google Scholar
• Goode, N., et al., 2011. Review of recent Australian disaster inquiries [online]. Monash University. Available from: http://www.em.gov.au/AboutAGD/Authorityandaccountability/Committeesandcouncils/Documents/Review%20of%20Recent%20Australian%20Disaster%20Inquiries%20-%20final%20report.PDF [Accessed 15 June 2013].
   Google Scholar
• Graham, L.P., Andreasson, J., and Carlsson, B., 2007. Assessing climate change impacts on hydrology from an ensemble of regional climate models, model scales and linking methods—a case study on the Lule River basin. Climatic Change, 81 (suppl. 1), 293–307.
   Web of Science ®Google Scholar
• Gutowski, W.J., et al., 2008. Changes in extreme, cold–season synoptic precipitation events under global warming. Geophysical Research Letters, 35, L20710.
   Web of Science ®Google Scholar
• Haeberli, W., et al., 2001. Prevention of outburst floods from periglacial lakes at Grubengletscher, Valais, Swiss Alps. Journal of Glaciology, 47, 111–122.
   Web of Science ®Google Scholar
• Hall, J.W., Sayers, P.B., and Dawson, R.J., 2005. National-scale assessment of current and future flood risk in England and Wales. Natural Hazards, 36 (1–2), 147–164.
   Web of Science ®Google Scholar
• Handmer, J., 2008. Risk creation, bearing and sharing on Australian floodplains. International Journal of Water Resources Development, 24, 527–540.
   Web of Science ®Google Scholar
• Handmer, J., Reed, C., and Percovich, O., 2002. Disaster loss assessment guidelines. Brisbane: Department of Emergency Services, State of Queensland, 117 p.
   Google Scholar
• Handmer, J., et al., 2012. Changes in impacts of climate extremes: human systems and ecosystems. In: C.B. Field, et al., eds. Managing the risks of extreme events and disasters to advance climate change adaptation. Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC). Cambridge: Cambridge University Press, 231–290.
   Google Scholar
• Hardoy, J.E., Mitlin, D., and Satterthwaite, D., 2001. Environmental problems in an urbanizing world: finding solutions for cities in Africa, Asia and Latin America. London: Earthscan.
   Google Scholar
• Hashizume, M., et al., 2008. Factors determining vulnerability to diarrhoea during and after severe floods in Bangladesh. Journal of Water Health, 6 (3), 323–332.
   PubMed Web of Science ®Google Scholar
• Hattermann, F.F., et al., 2013. Climatological drivers of changes in flood hazard in Germany. Acta Geophysica, 61 (2), 463–477.
   Web of Science ®Google Scholar
• Hennessy, K., et al., 2007. Australia and New Zealand. In: M.L. Parry, et al., eds. Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 507–540.
   Google Scholar
• Hilker, N., Badoux, A., and Hegg, C., 2009. The Swiss flood and landslide damage database 1972–2007. Natural Hazards Earth System Sciences, 9, 913–925.
   Web of Science ®Google Scholar
• Hirabayashi, Y., et al., 2008. Global projections of changing risks of floods and droughts in a changing climate. Hydrological Sciences Journal, 53 (4), 754–772.
   Web of Science ®Google Scholar
• Hirabayashi, Y., et al., 2013. Global flood risk under climate change. Nature Climate Change, 3, 816–821. doi:10.1038/nclimate1911
   Web of Science ®Google Scholar
• Hirabayashi, Y. and Kanae, S., 2009. First estimate of the future global population at risk of flooding. Hydrology Research Letters, 3, 6–9.
   Google Scholar
• Hirsch, R.M. and Ryberg, K.R., 2012. Has the magnitude of floods across the USA changed with global CO2 levels? Hydrological Sciences Journal, 57 (1), 1–9.
   Web of Science ®Google Scholar
• Hjelle, B. and Glass, G.E., 2000. Outbreak of hantavirus Infection in the Four Corners Region of the United States in the Wake of the 1997–1998 El Niño–Southern Oscillation. The Journal of Infectious Diseases, 181 (5), 1569–1573.
   PubMed Web of Science ®Google Scholar
• Hoes, O.A.C., 2007. Aanpak wateroverlast in polders op basis van risicobeheer. Thesis (PhD), Delft University of Technology, (in Dutch). Available from: http://repository.tudelft.nl/assets/uuid:69de94f9–385c–4c50–beff–8cc7b955beba/ceg_hoes_20070319.pdf
   Google Scholar
• xHuggel, C., et al., 2004. An assessment procedure for glacial hazards in the SwissAlps. Canadian Geotechnology Journal, 41, 1068–1083.
   Web of Science ®Google Scholar
• Ives, J.D., Shrestha, R.B., and Mool, P.K., 2010. Formation of glacial lakes in the Hindu Kush–Himalayas and GLOF Risk Assessment. Kathmandu: ICIMOD.
   Google Scholar
• IWR (Institute for Water Resources, US Army Corps of Engineers), 2011. Flood risk management approaches as being practiced in Japan, Netherlands, United Kingdom, and United States. IWR Report no. 2011–R–08, 124 pp.
   Google Scholar
• Jongman, B., Ward, P.J., and Aerts, J.C.J.H., 2012. Global exposure to river and coastal flooding: long term trends and changes. Global Environmental Change, 22 (4), 823–835.
   Web of Science ®Google Scholar
• Kamiguchi, K., et al., 2006. Changes in precipitation–based extremes indices due to global warming projected by a global 20-km-mesh atmospheric model. SOLA, 2, 64–67.
   Web of Science ®Google Scholar
• Kharin, V., et al., 2007. Changes in temperature and precipitation extremes in the IPCC ensemble of global coupled model simulations. Journal of Climate, 20 (8), 1419–1444.
   Web of Science ®Google Scholar
• Kleinen, T. and Petschel-Held, G., 2007. Integrated assessment of changes in flooding probabilities due to climate change. Climatic Change, 81 (3), 283–312.
   Web of Science ®Google Scholar
• Koutsoyiannis, D., 2011. Hurst-Kolmogorov dynamics and uncertainty. Journal of the American Water Resources Association, 47 (3), 481–495.
   Web of Science ®Google Scholar
• Koutsoyiannis, D., 2012. Reply to the Comment by T. López-Arias on “Clausius-Clapeyron equation and saturation vapour pressure: simple theory reconciled with practice”. European Journal of Physics, 33, L13–L14. doi:http://dx.doi.org/10.1088/0143-0807/33/3/L13
   Web of Science ®Google Scholar
• Koutsoyiannis, D., 2013. Hydrology and change. Hydrological Sciences Journal, 58 (6), 1177–1197. doi:http://dx.doi.org/10.1080/02626667.2013.804626
   Web of Science ®Google Scholar
• Koutsoyiannis, D., et al., 2008. On the credibility of climate predictions. Hydrological Sciences Journal, 53 (4), 671–684.
   Web of Science ®Google Scholar
• Koutsoyiannis, D., et al., 2011. Scientific dialogue on climate: is it giving black eyes or opening closed eyes? Reply to “A black eye for the Hydrological Sciences Journal” by D. Huard. Hydrological Sciences Journal, 56 (7), 1334–1339.
   Google Scholar
• Koutsoyiannis, D. and Montanari, A., 2007. Statistical analysis of hydroclimatic time series: uncertainty and insights. Water Resources Research, 43 (5), W05429.
   Web of Science ®Google Scholar
• Kovats, R.S. and Akhtar, R., 2008. Climate, climate change and human health in Asian cities. Environment and Urbanization, 20 (1), 165–175. doi:10.1177/0956247808089154
   Web of Science ®Google Scholar
• Kron, W., et al., 2012. How to deal properly with a natural catastrophe database—analysis of flood losses. Natural Hazards and Earth System Sciences, 12, 535–550.
   Web of Science ®Google Scholar
• Kshirsagar, N., Shinde, R., and Mehta, S., 2006. Floods in Mumbai: impact of public health service by hospital staff and medical students. Journal of Postgraduate Medicine, 52 (4), 312.
   PubMed Web of Science ®Google Scholar
• Kundzewicz, Z.W., 2011. Nonstationarity in water resources—Central European perspective. Journal of the American Water Resources Association (JAWRA), 47 (3), 550–562. doi:10.1111/j.1752-1688.2011.00549.x
   Web of Science ®Google Scholar
• Kundzewicz, Z.W., ed., 2012. Changes in flood risk in Europe. Wallingford: IAHS Press.
   Google Scholar
• Kundzewicz, Z.W., 2013. Floods: lessons about early warning systems. In: EEA (European Environment Agency), ed. Late lessons from early warnings: science, precaution, innovation. EEA Report no. 1/2013. Copenhagen: European Environment Agency, 347–368.
   Google Scholar
• Kundzewicz, Z.W., Pińskwar, I., and Brakenridge, G.R., 2013. Large floods in Europe, 1985–2009. Hydrological Sciences Journal, 58 (1), 1–7.
   Web of Science ®Google Scholar
• Kundzewicz, Z.W. and Schellnhuber, H.-J., 2004. Floods in the IPCC TAR perspective. Natural Hazards, 31, 111–128.
   Web of Science ®Google Scholar
• Kundzewicz, Z.W. and Stakhiv, E.Z., 2010. Are climate models “ready for prime time” in water resources management applications, or is more research needed? Editorial. Hydrological Sciences Journal, 55 (7), 1085–1089.
   Web of Science ®Google Scholar
• Kundzewicz, Z.W., et al., 2005. Trend detection in river flow time-series: 1. Annual maximum flow. Hydrological Sciences Journal, 50 (5), 797–810.
   Web of Science ®Google Scholar
• Kundzewicz, Z.W., et al., 2007. Freshwater resources and their management. In: M.L. Parry, et al., eds. Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.
   Google Scholar
• Kundzewicz, Z.W., et al., 2008. The implications of projected climate change for freshwater resources and their management. Hydrological Sciences Journal, 53 (1), 3–10.
   Web of Science ®Google Scholar
• Kundzewicz, Z.W., et al., 2012. Flood risk in Europe—setting the stage. In: Z.W. Kundzewicz, ed. Changes in flood risk in Europe. Wallingford: IAHS Press, 11–26.
   Google Scholar
• Kunkel, K.E., et al., 2008. Observed changes in weather and climate extremes. In: T.R. Karl, et al., eds. Weather and climate extremes in a changing climate. Regions of focus: North America, Hawaii, Caribbean, and US Pacific Islands. Report by the US Climate Change Science Program and the Subcommittee on Global Change Research, Washington, DC, 222.
   Google Scholar
• Leander, R., et al., 2008. Estimated changes in flood quantiles of the river Meuse from resampling of regional climate model output. Journal of Hydrology, 351 (3–4), 331–343.
   Web of Science ®Google Scholar
• Lehner, B., et al., 2006. Estimating the impact of global change on flood and drought risks in Europe: a continental, integrated analysis. Climatic Change, 75 (3), 273–299.
   Web of Science ®Google Scholar
• Liepert, B.G. and Previdi, M., 2012. Inter-model variability and biases of the global water cycle in CMIP3 coupled climate models. Environmental Research Letters, 7. doi:10.1088/1748–9326/7/1/014006
   Web of Science ®Google Scholar
• Lins, H.F. and Slack, J.R., 1999. Streamflow trends in the United States. Geophysical Research Letters, 26 (2), 227–230.
   Web of Science ®Google Scholar
• Lugeri, N., et al., 2010. River flood risk and adaptation in Europe—assessment of the present status. Mitigation and Adaptation Strategies for Global Change, 15 (7), 621–639.
   Web of Science ®Google Scholar
• Lyon, B., 2003. Enhanced seasonal rainfall in northern Venezuela and the extreme events of December 1999. Journal of Climate, 16, 2302–2306.
   Web of Science ®Google Scholar
• Maaskant, B., Jonkman, S.N., and Bouwer, L.M., 2009. Future risk of flooding: an analysis of changes in potential loss of life in South Holland (The Netherlands). Environmental Science and Policy, 12, 157–169.
   Web of Science ®Google Scholar
• Marengo, J., et al., 2012. Extreme climatic events in the Amazon basin. Theoretical and Applied Climatology, 107, 73–85. doi:10.1007/s00704-011-0465-1
   Web of Science ®Google Scholar
• Marengo, J.A., et al., 2009. Future change of temperature and precipitation extremes in South America as derived from the PRECIS regional climate modelling system. International Journal of Climatology, 29 (15), 2241–2255.
   Web of Science ®Google Scholar
• Mastrandrea, M.D., et al., 2010. Guidance note for lead authors of the IPCC Fifth Assessment Report on consistent treatment of uncertainties [online]. Intergovernmental Panel on Climate Change (IPCC). Available from: http://www.ipcc.ch [Accessed 18 October 2012].
   Google Scholar
• McCabe, G.J. and Wolock, D.M., 2002. A step increase in streamflow in the conterminous United States. Geophysical Research Letters, 29 (24), 2185.
   Web of Science ®Google Scholar
• McMichael, A.J., Wooddruff, R.E., and Hales, S., 2006. Climate change and human health: present and future risks. Lancet, 367, 859–869.
   PubMed Web of Science ®Google Scholar
• Meyer, V., et al., 2013. Assessing the costs of natural hazards: state of the art and knowledge gaps. Natural Hazards and Earth System Sciences, 13, 1351–1373.
   Web of Science ®Google Scholar
• Miller, S., Muir-Wood, R., and Boissonnade, A., 2008. An exploration of trends in normalised weather–related catastrophe losses. In: H.F. Diaz and R.J. Murnane, eds. Climate extremes and society. Cambridge: Cambridge University Press, 225–247.
   Google Scholar
• Min, S.-K., et al., 2011. Human contribution to more intense precipitation extremes. Nature, 470 (7334), 378–381.
   PubMed Web of Science ®Google Scholar
• Min, S.-K., Zhang, X., and Zwiers, F., 2008. Human-induced arctic moistening. Science, 320 (5875), 518–520.
   PubMed Web of Science ®Google Scholar
• Ministry of Environment and Forest, 2005. National Adaptation Programme of Action (NAPA), Final Report. Dhaka: Government of the People’s Republic of Bangladesh.
   Google Scholar
• Moberg, A., et al., 2006. Indices for daily temperature and precipitation extremes in Europe analyzed for the period 1901–2000. Journal of Geophysical Research—Atmospheres, 111(D22), D22106.
   PubMed Web of Science ®Google Scholar
• Montanari, A., et al., 2013. “Panta Rhei—everything flows”: change in hydrology and society—the IAHS Scientific Decade 2013–2022. Hydrological Sciences Journal, 58 (6), 1256–1275. doi:http://dx.doi.org/10.1080/02626667.2013.809088
   Web of Science ®Google Scholar
• Morin, E., et al., 2009. Flood routing and alluvial aquifer recharge along the ephemeral arid Kuiseb River, Namibia. Journal of Hydrology, 368, 262–275.
   Web of Science ®Google Scholar
• Mullan, B., et al., 2008. Climate change effects and impacts assessment: a guidance manual for local government in New Zealand. Wellington: Ministry for the Environment.
   Google Scholar
• Neumayer, E. and Barthel, F., 2011. Normalizing economic loss from natural disasters: a global analysis. Global Environmental Change, 21, 13–24.
   Web of Science ®Google Scholar
• Nicholls, N. and Seneviratne, S.I., 2013. Comparing IPCC Assessments: how do the AR4 and SREX assessments of changes in extremes differ? Climatic Change. doi:10.1007/S10854-013-018-0
   Google Scholar
• OCDESC (Official Committee for Domestic and External Security Coordination), 2007. National hazardscape report. Wellington: Official Committee for Domestic and External Security Coordination, Department of the Prime Minister and Cabinet.
   Google Scholar
• Oliveira, P.J.C., et al., 2011. Vegetation-mediated impacts of trends in global radiation on land hydrology: a global sensitivity study. Global Change Biology, 17, 3453–3467.
   Web of Science ®Google Scholar
• Osman-Elasha, B., et al., 2006. Impacts, vulnerability and adaptation to climate change in Africa. Background paper for the African Workshop on Adaptation Implementation of Decision 1/CP.10 of the UNFCCC Convention Accra, 21–23 September, Ghana.
   Google Scholar
• Overeem, I. and Syvitski, J.P.M., 2010. Shifting discharge peaks in Arctic Rivers, 1997–2007. Geografiska Annaler, 92 (2), 285–296.
   Google Scholar
• Pall, P., et al., 2011. Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000. Nature, 470 (7334), 382–385. doi:10.1038/nature09762
   PubMed Web of Science ®Google Scholar
• Parmenter, R., et al., 1999. Incidence of plague associated with increased winter–spring precipitation in New Mexico. American Journal of Tropical Medicine and Hygiene, 61 (5), 814–821.
   PubMed Web of Science ®Google Scholar
• Parry, M., et al., 2009. Assessing the costs of adaptation to climate change: a review of the UNFCCC and other recent estimates. London: International Institute for Environment and Development and Grantham Institute for Climate Change.
   Google Scholar
• Peduzzi, P., et al., 2009. Assessing global exposure and vulnerability towards natural hazards: the Disaster Risk Index. Natural Hazards and Earth System Sciences, 9, 1149–1159.
   Web of Science ®Google Scholar
• Peduzzi, P., et al., 2011. Preview Global Risk Data Platform, [online], UNEP/GRID Geneva, UNISDR, World Bank. Available from: http://preview.grid.unep.ch/index.php?preview=tools&cat=1&lang=eng [Accessed 18 October 2012].
   Google Scholar
• Peduzzi, P., et al., 2012. Global trends in tropical cyclones risk. Nature Climate Change, 2 (4), 289–294.
   Web of Science ®Google Scholar
• Peterson, T.C., et al., 2008. Why weather and climate extremes matter. In: T.R. Karl, et al., eds. Weather and climate extremes in a changing climate. Regions of focus: North America, Hawaii, Caribbean, and US Pacific Islands. Washington, DC: US Climate Change Science Program.
   Google Scholar
• Pielke Jr., R.A., et al., 2005. Clarifying the attribution of recent disaster losses: a response to Epstein and McCarthy. Bulletin of the American Meteorological Society, 86, 1481–1483.
   Web of Science ®Google Scholar
• Pielke Jr., R.A. and Downton, M.W., 2000. Precipitation and damaging floods: trends in the United States, 1932–1997. Journal of Climate, 13 (20), 3625–3637.
   Web of Science ®Google Scholar
• Pitman, A.J., et al., 2009. Uncertainties in climate responses to past land cover change: first results from the LUCID intercomparison study. Geophysical Research Letters, 36 (14), L14814.
   Web of Science ®Google Scholar
• Pomeranets, K.S., 2005. Three centuries of floods in St Petersburg. St Petersburg: Iskusstvo.
   Google Scholar
• Pryor, S.C., et al., 2009. How spatially coherent and statistically robust are temporal changes in extreme precipitation in the contiguous USA? International Journal of Climatology, 29 (1), 31–45.
   Web of Science ®Google Scholar
• Ramsbottom, D., Sayers, P., and Panzeri, M., 2012. Climate change risk assessment for the floods and coastal erosion sector [online]. UK Climate Change Risk Assessment. Defra, London. Available from: http://www.defra.gov.uk/environment/climate/government/risk-assessment/#sectors [Accessed 15 June 2013].
   Google Scholar
• Ranger, N., et al., 2011. An assessment of the potential impact of climate change on flood risk in Mumbai. Climatic Change, 104, 139–167.
   Web of Science ®Google Scholar
• Richardson, S.D. and Reynolds, J.M., 2000. An overview of glacial hazards in the Himalayas. Quaternary International, 65, 31–47.
   Web of Science ®Google Scholar
• Rico, M., et al., 2008. Reported tailings dam failures. A review of the European incidents in the worldwide context. Journal of Hazardous Materials, 152, 846–852.
   PubMed Web of Science ®Google Scholar
• Rodier, J.A. and Roche, M., 1984. World catalogue of maximum observed floods. IAHS Publication No. 143. Wallingford: IAHS Press.
   Google Scholar
• Rosenzweig, C., et al., 2007. Assessment of observed changes and responses in natural and managed systems. In: M.L. Parry, et al., eds. Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.
   Google Scholar
• Saenz, R., et al., 1995. Post-disaster malaria in Costa Rica. Prehospital Disaster Medicine, 10 (3), 154–160.
   PubMedGoogle Scholar
• Savelieva, N.I., et al., 2004. Climate change in the northern Asia in the second half of the 20th century. Pacific Oceanography, 2 (1–2), 74–84.
   Google Scholar
• Schneider, F., et al., 2010. Shadow economies all over the world: New estimates for 162 countries from 1999 to 2007 [online]. The World Bank Development Research Group, Poverty and Inequality Team & Europe and Central Asia Region, Human Development Economics Unit. Available from: http://wwwwds.worldbank.org/external/default/WDSContentServer/IW3P/IB/2010/10/14/000158349_20101014160704/Rendered/PDF/WPS5356.pdf [Accessed 18 October 2012].
   Google Scholar
• Semyonov, V.A. and Korshunov, A.A., 2006. Floods on the Russian rivers in the late 20th century and the early 21st century. Issues of Geography and Geo-ecology, 5, 6–12.
   Google Scholar
• Seneviratne, S.I., et al., 2012. Changes in climate extremes and their impacts on the natural physical environment. In: C.B. Field, et al., eds. Managing the risks of extreme events and disasters to advance climate change adaptation. Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC). Cambridge: Cambridge University Press.
   Google Scholar
• Shankman, D., et al., 2006. Flood frequency in China’s Poyang Lake Region: trends and teleconnections. International Journal of Climatology, 26, 1255–1266.
   Web of Science ®Google Scholar
• Shen, C., et al., 2008. Characteristics of anomalous precipitation events over eastern China during the past five centuries. Climate Dynamics, 31 (4), 463–476.
   Web of Science ®Google Scholar
• Shiklomanov, A.I., et al., 2007. Temporal and spatial variations in maximum river discharge from a new Russian data set. Journal of Geophysical Research—Biogeosciences, 112, G04S53. doi:10.1029/2006JG000352
   Web of Science ®Google Scholar
• Stephens, G.L., et al., 2010. Dreary state of precipitation in global models. Journal of Geophysical Research, 115, D24211. doi:10.1029/2010JD014532
   Web of Science ®Google Scholar
• Syvitski, J.P.M. and Brakenridge, G.R., 2013. Causation and avoidance of catastrophic flooding along the Indus River, Pakistan[online]. GSA Today, 23 (1). doi: 10.1130/GSATG165A.1. Available from: http://www.geosociety.org/gsatoday/archive/23/1/article/i1052-5173-23-1-4.htm [Accessed 22 November 2013].
   Google Scholar
• Taye, M.T., et al., 2011. Assessment of climate change impact on hydrological extremes in two source regions of the Nile River Basin. Hydrology and Earth System Sciences, 15 (1), 209–222.
   Web of Science ®Google Scholar
• Te Linde, A.H., et al., 2011. Future flood risk estimates along the river Rhine. Natural Hazards Earth System Sciences, 11, 459–473.
   Web of Science ®Google Scholar
• Teuling, A.J., et al., 2010. Contrasting response of European forest and grassland energy exchange to heatwaves. Nature Geoscience, 3, 722–727.
   Web of Science ®Google Scholar
• Thibault, K.M. and Brown, J.H., 2008. Impact of an extreme climatic event on community assembly. PNAS, 105 (9), 3410–3415.
   PubMed Web of Science ®Google Scholar
• Trenberth, K.E., 2012. Framing the way to relate climate extremes to climate change. Climatic change [online]. Available from: http://www.cgd.ucar.edu/cas/Trenberth/trenberth.papers/Framing_ClimCh12.pdf [Accessed 18 October 2012].
   Google Scholar
• Trenberth, K.E., et al., 2007. Observations: surface and atmospheric climate change. In: S. Solomon, et al., eds. Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.
   Google Scholar
• UNISDR (United Nations International Strategy for Disaster Reduction), 2011. Revealing risk, redefining development. Geneva: UNISDR.
   Google Scholar
• Villarini, G.F., et al., 2009. On the stationarity of annual flood peaks in the continental United States during the 20th century. Water Resources Research, 45, W08417. doi:10.1029/2008WR007645
   Web of Science ®Google Scholar
• Vörösmarty, C.J., 2002. Global change, the water cycle, and our search for Mauna Loa. Hydrological Processes, 16 (1), 135–139. doi:10.1002/hyp.527
   Web of Science ®Google Scholar
• Wang, J. and Zhang, X., 2008. Downscaling and projection of winter extreme daily precipitation over North America. Journal of Climate, 21 (5), 923–937.
   Web of Science ®Google Scholar
• Wells, L.E., 1990. Holocene history of the El Niño phenomenon as recorded in flood sediments of northern coastal Peru. Geology, 18 (11), 1134–1137. doi:10.1130/0091-7613
   Web of Science ®Google Scholar
• Wenger, C., Hussey, K., and Pittock, J., 2013. Living with floods: key lessons from Australia and abroad [online]. Australian National University and NCCARF. Available from: http://www.nccarf.edu.au/publications/living-floods-key-lessons-australia-and-abroad [Accessed 22 November 2013].
   Google Scholar
• Wilby, R.L., et al., 2008. Climate change and fluvial flood risk in the UK: more of the same? Hydrological Processes, 22 (14), 2511–2523.
   Web of Science ®Google Scholar
• Wilby, R.L. and Keenan, R., 2012. Adapting to flood risk under climate change. Progress in Physical Geography, 36, 349–379.
   Web of Science ®Google Scholar
• World Bank, 2010. Economics of adaptation to climate change [online]. Washington, DC: World Bank. Available from: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2012/06/27/000425970_20120627163039/Rendered/PDF/702670ESW0P10800EACCSynthesisReport.pdf [Accessed 22 November 2013].
   Google Scholar
• Wu, X., et al., 2012. An evaluation of land surface modification, storm sewer development, and rainfall variation on waterlogging risk in Shanghai. Natural Hazards, 63, 305–323.
   Web of Science ®Google Scholar
• Zhang, X., et al., 2007. Detection of human influence on twentieth-century precipitation trends. Nature, 448 (7152), 461–465.
   PubMed Web of Science ®Google Scholar
• Zolina, O.C., et al., 2010. Changing structure of European precipitation: longer wet periods leading to more abundant rainfalls. Geophysical Research Letters, 37, L06704.
   Web of Science ®Google Scholar