Climate change impacts on an alpine watershed in Chile: Do new model projections change the story?

Journal of Hydrology

Volumn 502, Issue , 2013, Pages 128-138

  Demaria, E M C ^a   Maurer, E P ^b   Thrasher, B ^c,d   Vicuna S ^a   Meza, F J ^a  

^a PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE   (Chile)

^b Department of Computer Science and Engineering   (United States)

^c Climate Analytics Group   (United States)

^d Climate Central   (United States)

Author keywords

Climate change; Hydrological modeling; Precipitation; Snow melting; Streamflow frequency analysis

Indexed keywords

CLIMATE CHANGE IMPACT; COUPLED MODEL INTERCOMPARISON PROJECT; EXTREME PRECIPITATION; FREQUENCY ANALYSIS; GENERAL CIRCULATION MODEL; HYDROLOGICAL MODELING; SNOW-MELTING; VARIABLE INFILTRATION CAPACITIES;

CLIMATE CHANGE; CLIMATE MODELS; COMPUTER SIMULATION; GLOBAL WARMING; HYDROLOGY; PRECIPITATION (CHEMICAL); SNOW; STREAM FLOW;

RAIN;

ALPINE ENVIRONMENT; CLIMATE CHANGE; FREQUENCY ANALYSIS; GLOBAL WARMING; HYDROLOGICAL MODELING; INFILTRATION; MELTING; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); STREAMFLOW; WATERSHED;

CHILE; MATAQUITO RIVER; MAULE;

EID: 84884166620     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.08.027     Document Type: Article

References (48)

1. Ansari A.R., Bradley R.A. Rank-sum tests for dispersions. Ann. Math. Stat. 1960, 31(4):1174-1189.
2. Barnett T.P., et al. Human-induced changes in the hydrology of the western United States. Science 2008, 319(5866):1080-1083.
3. Christensen J.H., et al. Regional climate projections. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change 2007, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor, H.L. Miller (Eds.).
4. Das T., et al. Structure and detectability of trends in hydrological measures over the western United States. J. Hydrometeorol. 2009, 10(4):871-892.
5. Das T., Dettinger M.D., Cayan D.R., Hidalgo H.G. Potential increase in floods in California's Sierra Nevada under future climate projections. Climatic Change 2011, 109:71-94.
6. Demaria E.M.C., et al. Using a gridded global dataset to characterize regional hydroclimate in central Chile. J. Hydrometeorol. 2013, 14(1):251-265.
7. Falvey M., Garreaud R. Wintertime precipitation episodes in central Chile: associated meteorological conditions and orographic influences. J. Hydrometeorol. 2007, 8(2):171-193.
8. Garreaud R.D., Vuille M., Compagnucci R., Marengo J. Present-day South American climate. Paleogeogr. Paleoclimatol. Paleoecol. 2009, 281(3-4):180-195.
9. Hidalgo H.G., et al. Detection and attribution of streamflow timing changes to climate change in the western United States. J. Clim. 2009, 22(13):3838-3855.
10. Huffman G.J., et al. The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeorol. 2007, 8(1):38-55.
11. Hurkmans R., et al. Changes in streamflow dynamics in the Rhine basin under three high-resolution regional climate scenarios. J. Clim. 2010, 23(3):679-699.
12. Kendall M.G. Rank Correlation Methods 1975, Charles Griffin, London.
13. Kharin V.V., Zwiers F.W., Zhang X., Hegerl G.C. Changes in temperature and precipitation extremes in the IPCC ensemble of global coupled model simulations. J. Clim. 2007, 20(8):1419-1444.
14. Kharin V.V., Zwiers F.W., Zhang X., Wehner M. Changes in temperature and precipitation extremes in the CMIP5 ensemble. Climatic Change 2013, 119:345-357.
15. King M.C., Mody N.A. Numerical and Statistical Methods for Bioengineering. Application in MATLAB 2010, Cambridge University Press, New York.
16. Knutti R., Sedlacek J. Robustness and uncertainties in the new CMIP5 climate model projections. Nat. Clim. Change 2013, 3(4):369-373.
17. Lau W.K.M., Wu H.T., Kim K.M. A canonical response of precipitation characteristics to Global Warming from CMIP5 models. Geophys. Res. Lett 2013.
18. Liang X., Lettenmaier D.P., Wood E.F., Burges S.J. A simple hydrologically based model of land-surface water and energy fluxes for General Circulation Models. J. Geophys. Res.-Atmos. 1994, 99(D7):14415-14428.
19. Liang X., Wood E.F., Lettenmaier D.P. Surface soil moisture parameterization of the VIC-2L model: evaluation and modification. Global Planet. Change 1996, 13(1-4):195-206.
20. Lohmann D., Raschke E., Nijssen B., Lettenmaier D.P. Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model. Hydrol. Sci. J. - J. Sci. Hydrol. 1998, 43(1):131-141.
21. Mann H.B. Nonparametric tests against trend. Econometrica 1945, 13(3):245-259.
22. Massey F.J. The Kolmogorov-Smirnov test for goodness of fit. J. Am. Stat. Assoc. 1951, 46(253):68-78.
23. Maurer E.P., Wood A.W., Adam J.C., Lettenmaier D.P., Nijssen B. A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States. J. Clim. 2002, 15(22):3237-3251.
24. Maurer E.P., Stewart I.T., Bonfils C., Duffy P.B., Cayan D. Detection, attribution, and sensitivity of trends toward earlier streamflow in the Sierra Nevada. J. Geophys. Res.-Atmos. 2007, 112(D11).
25. Maurer E.P., Adam J.C., Wood A.W. Climate model based consensus on the hydrologic impacts of climate change to the Rio Lempa basin of Central America. Hydrol. Earth Syst. Sci. 2009, 13(2):183-194.
26. Maurer E.P., Brekke L.D., Pruitt T. Contrasting lumped and distributed hydrology models for estimating climate change impacts on California Watersheds. J. Am. Water Resour. Assoc. 2010, 46(5):1024-1035.
27. Meehl G.A., et al. The WCRP CMIP3 multimodel dataset: a new era in climate change research. Bull. Am. Met. Soc. 2007, 88:1383-1394.
28. Meinshausen M., et al. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change 2011, 109(1):213-241.
29. Montecinos A., Aceituno P. Seasonality of the ENSO-related rainfall variability in central Chile and associated circulation anomalies. J. Clim. 2003, 16(2):281-296.
30. Nakicenovic N., et al. Special Report on Emissions Scenarios 2000, Cambridge University Press, Cambridge, UK, 570 pp.
31. Nash J.E., Sutcliffe J.V. River flow forecasting through. Part 1 - A conceptual model discussion of principles. J. Hydrol. 1970, 10:282-290.
32. Nijssen B., O'Donnell G.M., Lettenmaier D.P., Lohmann D., Wood E.F. Predicting the discharge of global rivers. J. Clim. 2001, 14(15):3307-3323.
33. Panofsky H.A., Brier G.W. Some Applications of Statistics to Meteorology 1968, The Pennsylvania State University, University Park, PA, USA, 224 pp.
34. Rogelj J., Meinshausen M., Knutti R. Global warming under old and new scenarios using IPCC climate sensitivity range estimates. Nat. Clim. Change 2012, 2(4):248-253.
35. Rubio-Alvarez E., McPhee J. Patterns of spatial and temporal variability in streamflow records in south central Chile in the period 1952-2003. Water Resour. Res. 2010, 46.
36. Sheffield J., Goteti G., Wood E.F. Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling. J. Clim. 2006, 19(13):3088-3111.
37. Souvignet M., Gaese H., Ribbe L., Kretschmer N., Oyarzun R. Statistical downscaling of precipitation and temperature in north-central Chile: an assessment of possible climate change impacts in an arid Andean watershed. Hydrol. Sci. J. - J. Sci. Hydrol. 2010, 55(1):41-57.
38. Stewart I.T., Cayan D.R., Dettinger M.D. Changes toward earlier streamflow timing across western North America. J. Clim. 2005, 18(8):1136-1155.
39. Taylor K.E., Stouffer R.J., Meehl G.A. An overview of CMIP5 and the experiment design. Bull. Am. Met. Soc. 2012, 93:485-498. 10.1175/BAMS-D-11-00094.1.
40. Themeßl M., Gobiet A., Leuprecht A. Empirical-statistical downscaling and error correction of daily precipitation from regional climate models. Int. J. Climatol. 2011, 31(10):1530-1544.
41. Vicente-Serrano S.M., et al. Accurate computation of a streamflow drought index. J. Hydrol. Eng. 2012, 17(2):318-332.
42. Vicuna S., Dracup J.A. The evolution of climate change impact studies on hydrology and water resources in California. Climatic Change 2007, 82(3-4):327-350.
43. Vicuna S., Maurer E.P., Joyce B., Dracup J.A., Purkey D. The sensitivity of California water resources to climate change scenarios. J. Am. Water Resour. Assoc. 2007, 43(2):482-498.
44. Vicuna S., Garreaud R.D., McPhee J. Climate change impacts on the hydrology of a snowmelt driven basin in semiarid Chile. Climatic Change 2011, 105(3-4):469-488.
45. Vicuna S., Gironas J., Meza F.J., Cruzat M.L., Jelinek M., Bustos E., Poblete D., Bambach N. Exploring possible connections between hydrologic extreme events and climate change in central south Chile. Hydrol. Sci. J 2013, in press.
46. Wilks D.S. Statistical Methods in the Atmospheric Sciences 2006, Academic Press, New York, NY, USA, 627 pp. second ed.
47. Wood A.W., Maurer E.P., Kumar A., Lettenmaier D.P. Long-range experimental hydrologic forecasting for the eastern United States. J. Geophys. Res.-Atmos. 2002, 107(D20).
48. Wood A.W., Leung L.R., Sridhar V., Lettenmaier D.P. Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Climatic Change 2004, 62(1-3):189-216.