Skip to main content

Advertisement

Log in

Projected hydroclimate changes over Andean basins in central Chile from downscaled CMIP5 models under the low and high emission scenarios

  • Published:
Climatic Change Aims and scope Submit manuscript

Abstract

This study examines the projections of hydroclimatic regimes and extremes over Andean basins in central Chile (∼ 30–40° S) under a low and high emission scenarios (RCP2.6 and RCP8.5, respectively). A gridded daily precipitation and temperature dataset based on observations is used to drive and validate the VIC macro-scale hydrological model in the region of interest. Historical and future simulations from 19 climate models participating in CMIP5 have been adjusted with the observational dataset and then used to make hydrological projections. By the end of the century, there is a large difference between the scenarios, with projected warming of ∼ + 1.2 °C (RCP2.6), ∼ + 3.5 °C (RCP8.5) and drying of ∼ − 3% (RCP2.6), ∼ − 30% (RCP8.5). Following the strong drying and warming projected in this region under the RCP8.5 scenario, the VIC model simulates decreases in annual runoff of about 40% by the end of the century. Such strong regional effect of climate change may have large implications for the water resources of this region. Even under the low emission scenario, the Andes snowpack is projected to decrease by 35–45% by mid-century. In more snowmelt-dominated areas, the projected hydrological changes under RCP8.5 go together with more loss in the snowpack (75–85%) and a temporal shift in the center timing of runoff to earlier dates (up to 5 weeks by the end of the century). The severity and frequency of extreme hydroclimatic events are also projected to increase in the future. The occurrence of extended droughts, such as the recently experienced mega-drought (2010–2015), increases from one to up to five events per 100 years under RCP8.5. Concurrently, probability density function of 3-day peak runoff indicates an increase in the frequency of flood events. The estimated return periods of 3-day peak runoff events depict more drastic changes and increase in the flood risk as higher recurrence intervals are considered by mid-century under RCP2.6 and RCP8.5, and by the end of the century under RCP8.5.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Adam JC, Hamlet AF, Lettenmaier DP (2009) Implications of global climate change for snowmelt hydrology in the twenty-first century. Hydrol Process 23(7):962–972. https://doi.org/10.1002/hyp.7201

    Article  Google Scholar 

  • Boisier JP, Rondanelli R, Garreaud R, Muñoz F (2016) Anthropogenic and natural contributions to the Southeast Pacific precipitation decline and recent megadrought in central Chile. Geophys Res Lett 43(1):413–421. https://doi.org/10.1002/2015GL067265

    Article  Google Scholar 

  • Bozkurt D, Sen OL, Hagemann S (2015) Projected river discharge in the Euphrates-Tigris Basin from a hydrological discharge model forced with RCM and GCM outputs. Climate Res 62:131–147. https://doi.org/10.3354/cr01268

    Article  Google Scholar 

  • Cortés G, Vargas X, McPhee J (2011) Climatic sensitivity of streamflow timing in the extratropical western Andes Cordillera. J Hydrol 405:93–109. https://doi.org/10.1016/j.jhydrol.2011.05.013

    Article  Google Scholar 

  • CR2 (2015) The 2010-2015 mega-drought: a lesson for the future: report to the nation. Center for Climate and Resilience Research, University of Chile, Santiago, Chile. http://www.cr2.cl/megasequia

  • Demaria EMC, Maurer EP, Sheffield J, Bustos E, Poblete D, Vicuñna S, Meza F (2013a) Using a gridded global dataset to characterize regional hydroclimate in central Chile. JHydrometeor 14(1):251–265. https://doi.org/10.1175/JHM-D-12-047.1

    Article  Google Scholar 

  • Demaria EMC, Maurer EP, Thrasner B, Vicuñna S, Meza F (2013b) Climate change impacts on an alpine watershed in Chile: do new model projections change the story? J Hydrol 502:128–138. https://doi.org/10.1016/j.jhydrol.2013.08.027

    Article  Google Scholar 

  • Falvey M, Garreaud R (2007) Wintertime precipitation episodes in Central Chile: associated meteorological conditions and orographic influences. J Hydrometeor 8:171–193

    Article  Google Scholar 

  • Falvey M, Garreaud R (2009) Regional cooling in a warming world: recent temperature trends in the southeast Pacific and along the west coast of subtropical South America (1979-2006). J Geophys Res 114(D04):102

    Google Scholar 

  • Garreaud R, Garreton CA, Barichivich J, Boisier JP, Christie D, Galleguillos M, LeQuesne C, McPhee J, Bigiarini MZ (2017) The 2010-2015 mega drought in Central Chile: impacts on regional hydroclimate and vegetation. Hydrol Earth Syst Sci Discuss. https://doi.org/10.5194/hess-2017-191

  • Gilleland E, Katz RW (2015) extremes 2.0: an extreme value analysis package in r. Journal of Statistical Software Forthcoming

  • Giorgi F, Lionello P (2008) Climate change projections for the Mediterranean region. Glob Planet Chan 63(2-3):90–104. https://doi.org/10.1016/j.gloplacha.2007.09.005

    Article  Google Scholar 

  • Hagemann S, Chen C, Clark DB, Folwell S, Gosling SN, Haddeland I, Hanasaki N, Heinke J, Ludwig F, Voss F, Wiltshire AJ (2013) Climate change impact on available water resources obtained using multiple global climate and hydrology models. Earth Syst Dynam 4:129–144. https://doi.org/10.5194/esd-4-129-2013

    Article  Google Scholar 

  • Hall DK, Riggs GA, Salomonson VV (2006) Modis/terra snow cover monthly l3 global 0.05deg cmg v005

  • Hannah L, Roehrdanz PR, Ikegami M, Shepard AV, Shaw MR, Tabor G, Zhi L, Marquet PA, Hijmans RJ (2013) Climate change, wine, and conservation. Proc Natl Acad Sci(USA) 110(17):6907–6912. https://doi.org/10.1073/pnas.1210127110

    Article  Google Scholar 

  • Hansen JW, Challinor A, Ines A, Wheeler T, Moronet V (2006) Translating forecasts into agricultural terms: Advances and challenges. Climate Res 33:27–41. https://doi.org/10.3354/cr033027

    Article  Google Scholar 

  • Immerzeel WW, van Beek LPH, Bierkens MFP (2010) Climate change will affect the Asian water towers. Science 328:1382–1385

    Article  Google Scholar 

  • IPCC (2014) Climate Change (2014). In: Pachauri RK, Meyer LA (eds) Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Core Writing Team. IPCC, Switzerland

  • Lehner B, Verding K, Jarvis A (2008) New global hydrography derived from spaceborne elevation data. Eos Trans AGU 89:93–94

    Article  Google Scholar 

  • Liang X, Lettenmaier DP, Wood E, Burges SJ (1994) A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J Geophys Res 99(D7):14,415–14,428. https://doi.org/10.1029/94JD00483

    Article  Google Scholar 

  • Martens B, Miralles DG, Lievens H, van der Schalie R, de Jeu RAM, Fernandez-Prieto D, Beck HE, Dorigo WA, Verhoest NEC (2016) Gleam v3: satellite-based land evaporation and root-zone soil moisture. Geosci Model Dev Discuss. https://doi.org/10.5194/gmd-2016-162

  • Masiokas MH, Villalba R, Luckman BH, Quesne L, C A CJ (2006) Snowpack variations in the Central Andes of Argentina and Chile, 1951-2005: large-scale atmospheric influences and implications for water resources in the region. J Climate 19:6334–6352

    Article  Google Scholar 

  • Mendoza PA, Clark MP, Mizukami N, Newman AJ, Barlage M, Gutmann ED, Rasmussen RM, Rajagopalan B, Brekke LD, Arnold JR (2015) Effects of hydrologic model choice and calibration on the portrayal of climate change impacts. J Hydrometeor 16:762–780

    Article  Google Scholar 

  • Ohmura A, Wild M (2002) Is the hydrological cycle accelerating? Science 298:1345–1346

    Article  Google Scholar 

  • Onol B, Bozkurt D, Turuncoglu UU, Sen OL, Dalfes HN (2014) Evaluation of the 21st century RCM simulations driven by multiple GCMs over the Eastern Mediterranean-Black Sea region. Climate Dyn 42:1949–1965. https://doi.org/10.1007/s00382-013-1966-7

    Article  Google Scholar 

  • Piani C, Weedon GP, Best M, Gomes S, Viterbo P, Hagemann S, Haerter JO (2010) Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models. J Hydrol 395:199–215. https://doi.org/10.1016/j.jhydrol.2010.10.024

    Article  Google Scholar 

  • Ruttlant J, Fuenzalida H (1991) Synoptic aspects of the central Chile rainfall variability associated with the Southern Oscillation. Int J Climatol 11:63–76

    Article  Google Scholar 

  • Stewart IT, Cayan DR, Dettinger MD (2005) Changes toward earlier streamflow timing across western north america. J Climate 18:1136–1155

    Article  Google Scholar 

  • Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Amer Meteor Soc 93:485–498

    Article  Google Scholar 

  • Vicuña S, Garreaud R, McPhee J (2011) Climate change impacts on the hydrology of a snowmelt driven basin in semiarid Chile. Clim Change 105:469–488. https://doi.org/10.1007/s10584-010-9888-4

    Article  Google Scholar 

Download references

Acknowledgements

We acknowledge the World Climate Research Programme Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed in Table S1 in the supplementary materials) for producing and making available their model output. For CMIP, the U.S. Department of Energy Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. DB acknowledges support from FONDECYT grant 3150036. MR acknowledges support from NC120066 and FONDECYT grant 1171773. JPB acknowledges support from FONDECYT grant 3150492. In particular, we are thankful to Justin Sheffield (Princeton University) and Edwin P. Maurer (Santa Clara University) for providing the VIC model parameter files and gridded meteorological fields.

Funding

This work was funded by FONDAP-CONICYT 15110009.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Deniz Bozkurt.

Additional information

This paper is a substantially revised version of Climate change impacts on hydroclimatic regimes and extremes over Andean basins in central Chile https://doi.org/10.5194/hess-2016-690

Electronic supplementary material

Below is the link to the electronic supplementary material.

(PDF 6.39 MB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bozkurt, D., Rojas, M., Boisier, J.P. et al. Projected hydroclimate changes over Andean basins in central Chile from downscaled CMIP5 models under the low and high emission scenarios. Climatic Change 150, 131–147 (2018). https://doi.org/10.1007/s10584-018-2246-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10584-018-2246-7

Navigation