Full access future changes in floods and water availability across China: Linkage with changing climate and uncertainties

Journal of Hydrometeorology

Volumn 17, Issue 4, 2016, Pages 1295-1314

  Li, Jianfeng ^a,b,c   Chen, Yongqin David ^a   Zhang, Lu ^c   Zhang, Qiang ^d,e   Chiew, Francis H S ^c  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^c CSIRO   (Australia)

^d SUN YAT SEN UNIVERSITY   (China)

^e SUZHOU UNIVERSITY   (China)

Author keywords

Applications; Climate change; Climatology; Flood events; Hydrologic cycle; Hydrology; Hydrometeorology; Physical meteorology and climatology

Indexed keywords

CLIMATE CHANGE; CLIMATE MODELING; CLIMATOLOGY; FLOOD; FUTURE PROSPECT; HYDROLOGICAL CYCLE; HYDROLOGICAL MODELING; HYDROMETEOROLOGY; WATER AVAILABILITY;

CHINA;

EID: 84963542765     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-15-0074.1     Document Type: Article

References (64)

1. Bierkens, M. F. P., and L. P. H. van Beek, 2009: Seasonal predictability of European discharge: NAO and hydrological response time. J. Hydrometeor., 10, 953-968, doi:10.1175/2009JHM1034.1.
2. Chen, H., J. Sun, X. Chen, and W. Zhou, 2012: CGCM projections of heavy rainfall events in China. Int. J. Climatol., 32, 441-450, doi:10.1002/joc.2278.
3. Dankers, R., and R. Hiederer, 2008: Extreme temperatures and precipitation in Europe: Analysis of a high-resolution climate change scenario. JRC Scientific and Tech. Rep. EUR 23291, European Union, 66 pp. [Available online at http://esdac.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/other/EUR23291EN.pdf.]
4. Dankers, R., and Coauthors, 2014: First look at changes in flood hazard in the Inter-Sectoral Impact Model Intercomparison Project ensemble. Proc. Natl. Acad. Sci. USA, 111, 3257-3261, doi:10.1073/pnas.1302078110.
5. Davie, J. C. S., and Coauthors, 2013: Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP. Earth Syst. Dyn., 4, 359-374, doi:10.5194/esd-4-359-2013.
6. Davie, T., 2008: Fundamentals of Hydrology. Routledge, 220 pp
7. Elliott, J., D. Deryng, and C. Müller, 2014: Constraints and potentials of future irrigation water availability on agricultural production under climate change. Proc. Natl. Acad. Sci. USA, 111, 3239-3244, doi:10.1073/pnas.1222474110.
8. Embrechts, P., 1997: Modelling Extremal Events for Insurance and Finance. 645 pp.
9. Gao, G., D. Chen, C.-Y. Xu, and E. Simelton, 2007: Trend of estimated actual evapotranspiration over China during 1960-2002. J. Geophys. Res., 112, D11120, doi:10.1029/2006JD008010.
10. Gosling, S. N., and N. W. Arnell, 2011: Simulating current global river runoff with a global hydrological model: Model revisions, validation, and sensitivity analysis. Hydrol. Processes, 25, 1129-1145, doi:10.1002/hyp.7727.
11. Gosling, S. N., D. Bretherton, K. Haines, and N. W. Arnell, 2010: Global hydrology modelling and uncertainty: Running multiple ensembles with a campus grid. Philos. Trans. Roy. Soc. London, A368, 4005-4021, doi:10.1098/rsta.2010.0164.
12. Haddeland, I., and Coauthors, 2011: Multimodel estimate of the global terrestrial water balance: Setup and first results. J. Hydrometeor., 12, 869-884, doi:10.1175/2011JHM1324.1.
13. Hagemann, S., and L. D. Gates, 2003: Improving a subgrid runoff parameterization scheme for climate models by the use of high resolution data derived from satellite observations. Climate Dyn., 21, 349-359, doi:10.1007/s00382-003-0349-x.
14. Hamlet, A. F., and D. P. Lettenmaier, 2007: Effects of 20th century warming and climate variability on flood risk in the western U.S. Water Resour. Res., 43, W06427, doi:10.1029/2006WR005099.
15. Hanasaki, N., S. Kanae, T. Oki, K. Masuda, K. Motoya, N. Shirakawa, Y. Shen, and K. Tanaka, 2008a: An integrated model for the assessment of global water resources-Part 1: Model description and input meteorological forcing. Hydrol. Earth Syst. Sci., 12, 1007-1025, doi:10.5194/hess-12-1007-2008.
16. Hanasaki, N., S. Kanae, T. Oki, 2008b: An integrated model for the assessment of global water resources-Part 2: Applications and assessments. Hydrol. Earth Syst. Sci., 12, 1027-1037, doi:10.5194/hess-12-1027-2008.
17. Held, I. M., and B. J. Soden, 2006: Robust responses of the hydrological cycle to global warming. J. Climate, 19, 5686-5699, doi:10.1175/JCLI3990.1.
18. Hempel, S., K. Frieler, L. Warszawski, J. Schewe, and F. Piontek, 2013: A trend-preserving bias correction-The ISI-MIP approach. Earth Syst. Dyn., 4, 219-236, doi:10.5194/esd-4-219-2013.
19. Hosking, J. R. M., 1990: L-moments: Analysis and estimation of distributions using linear combinations of order statistics. J. Roy. Stat. Soc., 52, 105-124.
20. IPCC, 2012: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. Cambridge University Press, 582 pp.
21. Hanasaki, N., S. Kanae, T. Oki, 2013: Climate Change 2013: The Physical Science Basis. Cambridge University Press, 1535 pp.
22. Jonkman, S. N., 2005: Global perspectives on loss of human life caused by floods. Nat. Hazards, 34, 151-175, doi:10.1007/s11069-004-8891-3.
23. Katz, R. W., M. B. Pariange, and P. Naveau, 2002: Statistics of extremes in hydrology. Adv. Water Resour., 25, 1287-1304, doi:10.1016/S0309-1708(02)00056-8.
24. Khan, M. S., P. Coulibaly, and Y. Dibike, 2006: Uncertainty analysis of statistical downscaling methods. J. Hydrol., 319, 357-382, doi:10.1016/j.jhydrol.2005.06.035.
25. Laine, A., H. Nakamura, K. Nishii, and T. Miyasaka, 2014: A diagnostic study of future evaporation changes projected in CMIP5 climate models. Climate Dyn., 42, 2745-2761, doi:10.1007/s00382-014-2087-7.
26. Li, J., Q. Zhang, X. Chen, and T. Jiang, 2011: Study of ecological instream flow in Yellow River: Considering the hydrological change (in Chinese). Acta Geogr. Sin., 66 (1), 99-110.
27. Li, J., Q. Zhang, Y. D. Chen, and V. P. Singh, 2013a: GCMs-based spatiotemporal evolution of climate extremes during the 21st century in China. J. Geophys. Res. Atmos., 118, 11 017-11 035, doi:10.1002/jgrd.50851.
28. Li, J., Q. Zhang, Y. D. Chen, C.-Y. Xu, and V. P. Singh, 2013b: Changing spatiotemporal patterns of precipitation extremes in China during 2071-2100 based on Earth System Models. J. Geophys. Res. Atmos., 118, 12 537-12 555, doi:10.1002/2013JD020300.
29. Liang, X., D. P. Lettenmaier, E. F. Wood, and S. J. Burges, 1994:A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J. Geophys. Res., 99, 14 415-14 428, doi:10.1029/94JD00483.
30. Manabe, S., R. T. Wetherald, P. C. D. Milly, T. L. Delworth, and R. J. Stouffer, 2004: Century-scale change in water availability: CO2-quadrupling experiment. Climatic Change, 64, 59-76, doi:10.1023/B:CLIM.0000024674.37725.ca.
31. Milly, P. C. D., K. A. Dunne, and A. V. Vecchia, 2005: Global pattern of trends in streamflow and water availability in a changing climate. Nature, 438, 347-350, doi:10.1038/nature04312.
32. Moss, R. H., and Coauthors, 2010: The next generation of scenarios for climate change research and assessment. Nature, 463, 747-756, doi:10.1038/nature08823.
33. Oki, T., and S. Kanae, 2006: Global hydrological cycles and world water resources. Science, 313, 1068-1072, doi:10.1126/science.1128845.
34. Pavelsky, T. M., and L. C. Smith, 2006: Intercomparison of four global precipitation data sets and their correlation with increased Eurasian river discharge to the Arctic Ocean. J. Geophys. Res., 111, D21112, doi:10.1029/2006JD007230.
35. Pokhrel, Y., N. Hanasaki, S. Koirala, J. Cho, P. J.-F. Yeh, H. Kim, S. Kanae, and T. Oki, 2012: Incorporating anthropogenic water regulation modules into a land surface model. J. Hydrometeor., 13, 255-269, doi:10.1175/JHM-D-11-013.1.
36. Poveda, G., and Coauthors, 2007: Linking long-term water balances and statistical scaling to estimate river flows along the drainage network of Colombia. J. Hydrol. Eng., 12, 4-13, doi:10.1061/(ASCE)1084-0699(2007)12:1(4).
37. Raff, D. A., T. Pruitt, and L. D. Brekke, 2009: A framework for assessing flood frequency based on climate projection information. Hydrol. Earth Syst. Sci., 13, 2119-2136, doi:10.5194/hess-13-2119-2009.
38. Ranger, N., and Coauthors, 2011: An assessment of the potential impact of climate change on flood risk in Mumbai. Climatic Change, 104, 139-167, doi:10.1007/s10584-010-9979-2.
39. Riahi, K., and Coauthors, 2011: RCP8.5-A scenario of comparatively high greenhouse gas emissions. Climatic Change, 109, 33-57, doi:10.1007/s10584-011-0149-y.
40. Rosenzweig, C., A.Lglesias, X. B. Yang, P.R.Epstein, and E. Chivian, 2001: Climate change and extreme weather events: Implications for food production, plant diseases, and pests. Global Change Hum. Health, 2, 90-104, doi:10.1023/A:1015086831467.
41. Schewe, J., and Coauthors, 2014: Multimodel assessment of water scarcity under climate change. Proc. Natl. Acad. Sci. USA, 111, 3245-3250, doi:10.1073/pnas.1222460110.
42. Stacke, T., and S. Hagemann, 2012: Development and evaluation of a global dynamical wetlands extent scheme. Earth Syst. Sci., 16, 2915-2933, doi:10.5194/hess-16-2915-2012.
43. Tang, Q., T. Oki, and S. Kanae, 2006: A distributed biosphere hydrological model (DBHM) for large river basin. Proc. Hydraul. Eng., 50, 37-42, doi:10.2208/prohe.50.37.
44. Tang, Q., T. Oki, and S. Kanae, and H. Hu, 2007: The influence of precipitation variability and partial irrigation within grid cells on a hydrological simulation. J. Hydrometeor., 8, 499-512, doi:10.1175/JHM589.1.
45. Taylor, K. E., R. J. Stouffer, and G. A. Meehl, 2012: An overview of CMIP5 and the experiment design. Bull. Amer. Meteor. Soc., 93, 485-498, doi:10.1175/BAMS-D-11-00094.1.
46. Teng, J., J. Vaze, F. H. S. Chiew, B. Wang, and J.-M. Perraud, 2012: Estimating the relative uncertainties sourced from GCMs and hydrological models in modeling climate change impact on runoff. J. Hydrometeor., 13, 122-139, doi:10.1175/JHM-D-11-058.1.
47. van Vuuren, D. P., and Coauthors, 2011: RCP2.6: Exploring the possibility to keep global mean temperature increase below 28C. Climatic Change, 109, 95-116, doi:10.1007/s10584-011-0152-3.
48. Vörösmarty, C. J., C. A. Federer, and A. L. Schloss, 1998: Potential evaporation functions compared on US watersheds: Possible implications for global-scale water balance and terrestrial ecosystem modeling. J. Hydrol., 207, 147-169, doi:10.1016/S0022-1694(98)00109-7.
49. Vörösmarty, C. J., P. Green, J. Salisbury, and R. B. Lammers, 2000: Global water resources: Vulnerability from climate change and population growth. Science, 289, 284-288, doi:10.1126/science.289.5477.284.
50. Wada, Y., L. P. H. van Beek, C. M. van Kempen, J. W. T. M. Reckman, S. Vasak, and M. F. P. Bierkens, 2010: Global depletion of groundwater resources. Geophys. Res. Lett., 37, L20402, doi:10.1029/2010GL044571.
51. Wang, G. Q., and Coauthors, 2012: Assessing water resources in China using PRECIS projections and VIC model. Hydrol. Earth Syst. Sci., 16, 231-240, doi:10.5194/hess-16-231-2012.
52. Warszawski, L., K. Frielet, V. Huber, F. Pointek, O. Serdeczny, and J. Schewe, 2014: The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP): Project framework. Proc. Natl. Acad. Sci. USA, 111, 3228-3232, doi:10.1073/pnas.1312330110.
53. Weedon, G. P., and Coauthors, 2011: Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. J. Hydrometeor., 12, 823-848, doi:10.1175/2011JHM1369.1.
54. Wilby, R. L., K. J. Beven, and N. S. Reynard, 2008: Climate change and fluvial flood risk in the UK: More of the same? Hydrol. Processes, 22, 2511-2523, doi:10.1002/hyp.6847.
55. Wilk, M. B., and R. Gnanadesikan, 1968: Probability plotting methods for the analysis of data. Biometrika, 55, 1-17, doi:10.2307/2334448.
56. Xu, C.-H., and Y. Xu, 2012: The projection of temperature and precipitation over China under RCP scenarios using a CMIP5 Multi-Model Ensemble. Atmos. Oceanic Sci. Lett., 5, 527-533, doi:10.1080/16742834.2012.11447042.
57. Yang, H., and D. Yang, 2012: Climatic factors influencing changing pan evaporation across China from 1961 to 2001. J. Hydrol., 414-415, 184-193, doi:10.1016/j.jhydrol.2011.10.043.
58. Yong, B., and Coauthors, 2013: Spatial-temporal changes of water resources in a typical semi-arid basin of north China over the past 50 years and assessment of possible natural and socioeconomic causes. J. Hydrometeor., 14, 1009-1034, doi:10.1175/JHM-D-12-0116.1.
59. Zhang, L., F. Zhao, Y. Chen, and R. N. M. Dixon, 2011: Estimating effects of plantation expansion and climate variability on streamflow for catchments in Australia. Water Resour. Res., 47, W12539, doi:10.1029/2011WR010711.
60. Zhang, Q., V. P. Singh, J. Li, and X. Chen, 2011: Analysis of the periods of maximum consecutive wet days in China. J. Geophys. Res., 116, D23106, doi:10.1029/2011JD016088.
61. Zhang, Q., J. Li, V. P. Singh, C.-Y. Xu, and Y. Bai, 2012: Changing structure of the precipitation process during 1960-2005 in the Xinjiang, China. Theor. Appl. Climatol., 107, 255-264, doi:10.1007/s00704-011-0476-y.
62. Zhang, Q., J. Li, V. P. Singh, and M. Xiao, 2013a: Spatio-temporal relations between temperature and precipitation regimes: Implications for temperature-induced changes in the hydrological cycle. Global Planet. Change, 111, 57-76, doi:10.1016/j.gloplacha.2013.08.012.
63. Zhang, Q., V. P. Singh, and J. Li, 2013b: Eco-hydrological requirements in arid and semiarid regions: Case study of the Yellow River in China. J. Hydrol. Eng., 18, 689-697, doi:10.1061/(ASCE)HE.1943-5584.0000653.
64. Zhang, Q., V. P. Singh, K. Li, and J. Li, 2014: Trend, periodicity and abrupt change in streamflow of the East River, the Pearl River basin. Hydrol. Processes, 28, 305-314, doi:10.1002/hyp.9576.