Abstract
Five General Circulation Model (GCM) climate projections under the RCP8.5 emission scenario were used to drive the Variable Infiltration Capacity (VIC) hydrologic model to investigate the impacts of climate change on hydrologic cycle over continental China in the 21st century. The bias-corrected climatic variables were generated for the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5) by the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP). Results showed much larger fractional changes of annual mean Evapotranspiration (ET) per unit warming than the corresponding fractional changes of Precipitation (P) per unit warming across the country, especially for South China, which led to a notable decrease of surface water variability (P-E). Specifically, negative trends for annual mean runoff up to −0.33%/year and soil moisture trends varying between −0.02% to −0.13%/year were found for most river basins across China. Coincidentally, interannual variability for both runoff and soil moisture exhibited significant positive trends for almost all river basins across China, implying an increase in extremes relative to the mean conditions. Noticeably, the largest positive trends for runoff variability and soil moisture variability, which were up to 0.41%/year and 0.90%/year, both occurred in Southwest China. In addition to the regional contrast, intra-seasonal variation was also large for the runoff mean and runoff variability changes, but small for the soil moisture mean and variability changes. Our results suggest that future climate change could further exacerbate existing water-related risks (e.g., floods and droughts) across China as indicated by the marked decrease of surface water amounts combined with a steady increase of interannual variability throughout the 21st century. This study highlights the regional contrast and intra-seasonal variations for the projected hydrologic changes and could provide a multi-scale guidance for assessing effective adaptation strategies for China on a river basin, regional, or as a whole.
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References
Arnell N W. 2003. Effects of IPCC SRES emissions scenarios on river runoff: A global perspective. Hydrol Earth Syst Sci, 7: 619–641
Canadell J G, Le Quéré C, Raupach M R, et al. 2007. Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks. Proc Natl Acad Sci USA, 104: 18866–18870
Christensen N S, Wood A W, Voisin N, et al. 2004. Effects of climate change on the hydrology and water resources of the Colorado River Basin. Clim Change, 62: 337–363
Dai A. 2013. Increasing drought under global warming in observations and models. Nat Clim Change, 3: 52–58
Dan L, Ji J, Xie Z, et al. 2012. Hydrological projections of climate change scenarios over the 3H region of China: A VIC model assessment. J Geophys Res, 117: D11102
Durack P J, Wijffels S E, Matear R J. 2012. Ocean salinities reveal strong global water cycle intensification during 1950 to 2000. Science, 336: 455–458
Elliott J, Deryng D, Müller C, et al. 2014. Constraints and potentials of future irrigation water availability on agricultural production under climate change. Proc Natl Acad Sci USA, 111: 3239–3244
Easterling D R, Meehl G A, Parmesan C, et al. 2000a. Climate extremes: Observations, modeling, and impacts. Science, 289: 2068–2074
Easterling D R, Evans J L, Groisman P Y, et al. 2000b. Observed variability and trends in extreme climate events: A brief review. Bull Amer Meteorol Soc, 81: 417–425
Fujibe F, Yamazaki N, Kobayashi K. 2006. Long-term changes of heavy precipitation and dry weather in Japan (1901–2004). J Meteor Soc Jpn, 84: 1033–1046
Giorgi F, Bi X, Pal J S. 2004. Mean, interannual variability and trends in a regional climate change experiment over Europe. Part II: Future climate scenarios (2071–2100). Clim Dyn, 23: 839–858
Groisman P Y, Knight R W, Easterling D R, et al. 2005. Trends in intense precipitation in the climate record. J Clim, 18: 1326–1350
Gosling S N, Taylor R G, Arnell N W, et al. 2011. A comparative analysis of projected impacts of climate change on river runoff from global and catchment-scale hydrological models. Hydrol Earth Syst Sci, 15: 279–294
Guo S, Wang J, Xiong L, et al. 2002. A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China. J Hydrol, 268: 1–15
Haddeland I, Clark D B, Franssen W, et al. 2011. Multi-model estimate of the global terrestrial water balance: Setup and first results. J Hydrometeorol, 12: 869–884
Hamlet A F, Lettenmaier D P. 1999. Effects of climate change on hydrology and water resources in the Columbia River Basin. J Amer Water Resour Assoc, 35: 1597–1623
Hayhoe K, Wake C P, Huntington T G, et al. 2007. Past and future changes in climate and hydrological indicators in the US Northeast. Clim Dynam, 28: 381–407
Hempel S, Frieler K, Warszawski L, et al. 2013. A trend-preserving bias correction—The ISI-MIP approach. Earth Syst Dynam, 4: 219–236
Hagemann S, Chen C, Clark D B, et al. 2013. Climate change impact on available water resources obtained using multiple global climate and hydrology models. Earth Syst Dynam, 4: 129–144
Jiang T, Chen Y, Xu C, et al. 2007. Comparison of hydrological impacts of climate change simulated by six hydrological models in the Dongjiang Basin, South China. J Hydrol, 336: 316–333
Katz R W, Brown B G. 1992. Extreme events in a changing climate: Variability is more important than averages. Clim Change, 21: 289–302
Kranz N, Menniken T, Hinkel J. 2010. Climate change adaptation strategies in the Mekong and Orange-Senqu basins: What determines the state-of-play?. Environ Sci Policy, 13: 648–659
Kunkel K E, Thomas R K, Harold B, et al. 2013. Monitoring and understanding trends in extreme storms: State of knowledge. Bull Amer Meteorol Soc, 94: 499–514
Lambert S J, Boer G J. 2001. CMIP1 evaluation and intercomparison of coupled climate models. Clim Dynam, 17: 83–106
Liang X, Lettenmaier D P, Wood E F, et al. 1994. A simple hydrologically based model of land surface water and energy fluxes for GSMs. J Geophys Res, 99: 14415–14428
Liang X, Lettenmaier D P, Wood E F. 1996. One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the Two-Layer Variable Infiltration Capacity model. J Geophys Res, 101: 21403–21422
Li L, Hao Z C, Wang J H, et al. 2008. Impact of future climate change on runoff in the head region of the Yellow River. J Hydrol Eng, 13: 347–354
Li Z, Liu W Z, Zhang X C, et al. 2010. Assessing and regulating the impacts of climate change on water resources in the Heihe watershed on the Loess Plateau of China. Sci China Earth Sci, 53: 710–720
Maurer E P. 2007. Uncertainty in hydrologic impacts of climate change in the Sierra Nevada, California under two emissions scenarios. Clim Change, 82: 309–325
Moss R H, Edmonds J A, Hibbard K A, et al. 2010. The next generation of scenarios for climate change research and assessment. Nature, 463: 747–756
Mote P, Brekke L, Duffy P B, et al. 2011. Guidelines for constructing climate scenarios. Eos Trans AGU, 92: 257
Nijssen B, Lettenmaier D P, Liang X, et al. 1997. Streamflow simulation for continental-scale river basins. Water Resour Res, 33: 711–724
Nijssen B, Schnur R, Lettenmaier D P. 2001. Global retrospective estimation of soil moisture using the Variable Infiltration Capacity land surface model, 1980–93. J Clim, 14: 1790–1808
O’Gorman P A O, Schneider T. 2009. The physical basis for increases in precipitation extremes in simulations of 21st-century climate change. Proc Natl Acad Sci USA, 106: 14773–14777
Piao S, Yin L, Wang X, et al. 2009. Summer soil moisture regulated by precipitation frequency in China. Environ Res Lett, 4: 044012
Piao S L, Ciais P, Huang Y, et al. 2010. The impacts of climate change on water resources and agriculture in China. Nature, 467: 43–51
Pierce D W, Barnett T P, Santer B D, et al. 2009. Selecting global climate models for regional climate change studies. Proc Natl Acad Sci USA, 106: 8441–8446
Piontek F, Müller C, Thomas A M P, et al. 2014. Multi-sectoral climate impact hotspots in a warming world. Proc Natl Acad Sci USA, 111: 3233–3238
Portmann F T, Döll P, Eisner S, et al. 2013. Impact of climate change on renewable groundwater resources: Assessing the benefits of avoided greenhouse gas emissions using selected CMIP5 climate projections. Environ Res Lett, 8: 024023
Qiu J. 2010. China drought highlights future climate threats. Nature, 465: 142–143
Reichler T, Kim J. 2008. How well do coupled models simulate today’s climate?. Bull Amer Meteorol Soc, 89: 303–311
Rahmstorf S, Coumou D. 2011. Increase of extreme events in a warming world. Proc Natl Acad Sci USA, 108: 17905–17909
Räisänen J. 2002. CO2-induced changes in interannual temperature and precipitation variability in 19 CMIP2 experiments. J Clim, 15: 2395–2411
Robock A, Vinnikov K Y, Srinivasan G, et al. 2000. The global soil moisture data bank. Bull Amer Meteorol Soc, 81: 1281–1299
Rogelj J, Meinshausen M, Knutti R. 2012. Global warming under old and new scenarios using IPCC climate sensitivity range estimates. Nat Clim Change, 2: 248–253
Schar C, Vidale P L, Luthi D, et al. 2004. The role of increasing temperature variability in European summer heatwaves. Nature, 427: 332–336
Schewe J, Heinke J, Gerten D, et al. 2014. Multimodel assessment of water scarcity under climate change. Proc Natl Acad Sci USA, 111: 3249–3250
Tang Q, Lettenmaier D P. 2012. 21st century runoff sensitivities of major global river basins. Geophys Res Lett, 39: L06403
Vano J A, Udall B, Cayan D R, et al. 2013. Understanding uncertainties in future Colorado river streamflow. Bull Amer Meteorol Soc, 95: 59–78
Wada Y, Wisser D, Eisner S, et al. 2013. Multi-model projections and uncertainties of irrigation water demand under climate change. Geophys Res Lett, 40: 4626–4632
Wang G Q, Zhang J Y, Jin J L, et al. 2012. Assessing water resources in China using PRECIS projections and a VIC model. Hydrol Earth Syst Sci, 16: 231–240
Wu C, Chen J, Pumpanen J, et al. 2012. An underestimated role of precipitation frequency in regulating summer soil moisture. Environ Res Lett, 7: 024011
Xu Y, Zhang X, Tian Y. 2012. Impact of climate change on 24-h design rainfall depth estimation in Qiantang River Basin, East China. Hydrol Process, 26: 4067–4077
Xu Z, Zhao F, Li J. 2009. Response of runoff to climate change in the headwater catchment of the Yellow River basin. Quatern Int, 208: 62–75
Yao C, Yang S, Qian W, et al. 2008. Regional summer precipitation events in Asia and their changes in the past decades. J Geophys Res, 113: D17107
Yang C, Yu Z, Hao Z, et al. 2012. Impact of climate change on flood and drought events in Huaihe River Basin, China. Hydrol Res, 43: 14–22
Zeng X, Kundzewicz Z W, Zhou J, et al. 2012. Discharge projection in the Yangtze River basin under different emission scenarios based on the artificial neural networks. Quatern Int, 282: 113–121
Zhang X, Tang Q, Pan M, et al. 2013. A long-term land surface hydrologic fluxes and states dataset for China. J Hydrometeor, 15: 957–972
Zhang J, Wang G, Pagano T C, et al. 2013. Using hydrologic simulation to explore the impacts of climate change on runoff in the Huaihe River Basin of China. J Hydrol Eng, 18: 1393–1399
Zhai P, Zhang X, Wan H, et al. 2005. Trends in total precipitation and frequency of daily precipitation extremes over China. J Clim, 18: 1096–1108
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Leng, G., Tang, Q., Huang, M. et al. Projected changes in mean and interannual variability of surface water over continental China. Sci. China Earth Sci. 58, 739–754 (2015). https://doi.org/10.1007/s11430-014-4987-0
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DOI: https://doi.org/10.1007/s11430-014-4987-0