Does internal climate variability overwhelm climate change signals in streamflow? The upper Po and Rhone basin case studies

Science of the Total Environment

Volumn 493, Issue , 2014, Pages 1171-1182

  Fatichi, S ^a   Rimkus, S ^a   Burlando, P ^a   Bordoy, R ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

Alps; Climate change; Hydrological modeling; Stochastic downscaling; Uncertainty; Water resources

Indexed keywords

WATER RESOURCES;

ALPS; DOWN-SCALING; HYDROLOGICAL MODELING; INTERNAL CLIMATE VARIABILITY; UNCERTAINTY;

CLIMATE CHANGE;

CLIMATE CHANGE; CLIMATE MODELING; CLIMATE VARIATION; DOWNSCALING; HYDROLOGICAL MODELING; PRECIPITATION (CLIMATOLOGY); STOCHASTICITY; STREAMFLOW; UNCERTAINTY ANALYSIS; WATER RESOURCE;

ARTICLE; CLIMATE CHANGE; CONTROLLED STUDY; DEGLACIATION; ENVIRONMENTAL PARAMETERS; GEOSTATISTICAL ANALYSIS; GLACIER; HYDROLOGY; INTERNAL CLIMATE VARIABILITY; ITALY; MATHEMATICAL VARIABLE; RIVER BASIN; SEASONAL VARIATION; STREAM (RIVER); SWITZERLAND; UNCERTAINTY; WATER FLOW;

ALPS; ITALY; PIEDMONT [ITALY]; PO BASIN; RHONE BASIN; SWITZERLAND; TICINO BASIN; TOCE BASIN; VERBANO-CUSIO OSSOLA;

EID: 84904856410     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2013.12.014     Document Type: Article

References (65)

1. Beniston M., Stoffel M., Hill M. Impacts of climatic change on water and natural hazards in the Alps: can current water governance cope with future challenges? Examples from the European "ACQWA" project. Environ Sci Pol 2011, 14(7):734-743. 10.1016/j.envsci.2010.12.009.
2. Bordoy R. Spatiotemporal downscaling of climate scenarios in regions of complex orography 2013, (Ph.D. thesis Nr. 21201), ETH Zurich, Switzerland.
3. Bordoy R., Burlando P. Bias correction of regional climate model simulations in a region of complex orography. J Appl Meteorol Climatol 2013, 52:82-101. 10.1175/JAMC-D-11-0149.1.
4. Bordoy R., Burlando P. Stochastic downscaling of climate model precipitation outputs in orographically complex regions. part 2: downscaling methodology. Water Resour Res 2013, 10.1002/wrcr.20443.
5. Bordoy R., Burlando P. Stochastic downscaling of precipitation to high-resolution scenarios in orographically complex regions. Part 1: Model evaluation. Water Resour Res 2013, 10.1002/2012WR013289.
6. Brown C., Wilby R.L. An alternate approach to assessing climate risks. Eos Trans AGU 2012, 93(41):401-402.
7. Burlando P., Rosso R. Effects of transient climate change on basin hydrology. 1. Precipitation scenarios for the Arno river, central Italy. Hydrol Process 2002, 16:1151-1175.
8. Burton A., Kilsby C.G., Fowler H.J., Cowpertwait P.S.P., O'Connell P. RainSim: a spatial-temporal stochastic rainfall modelling system. Environ Model Software 2008, 23:1356-1369. 10.1016/j.envsoft.2008.04.003.
9. Burton A., Fowler H.J., Blenkinsop S., Kilsby C.G. Downscaling transient climate change using a Neyman-Scott Rectangular Pulses stochastic rainfall model. J Hydrol 2010, 381:18-32. 10.1016/j.jhydrol.2009.10.031.
10. Christensen J.H., Kjellstro¨m E., Giorgi F., Lenderink G., Rummukainen M. Weight assignment in regional climate models. Climate Res 2010, 44:179-194. 10.3354/cr00916.
11. Ciarapica L., Todini E. TOPKAPI: a model for the representation of the rainfall-runoff process at different scales. Hydrol Process 2002, 16:207-229.
12. Cowpertwait P.S.P. A spatial-temporal point process model of rainfall for the Thames catchment. J Hydrol 2006, 330:586-595.
13. Deser C., Knutti R., Solomon S., Phillips A.S. Communication of the role of natural variability in future north American climate. Nat Clim Chang 2012, 2:775-779.
14. Deser C., Phillips A., Bourdette V., Teng H. Uncertainty in climate change projections: the role of internal variability. Climate Dynam 2012, 38:527-546. 10.1007/s00382-010-0977-x.
15. Dessai S., Hulme M., Lempert R., Pielke R. Do we need better predictions to adapt to a changing climate?. Eos Trans AGU 2009, 90(13):111. 10.1029/2009EO130003.
16. Fatichi S., Ivanov V.Y., Caporali E. Simulation of future climate scenarios with a weather generator. Adv Water Resour 2011, 34:448-467. 10.1016/j.advwatres.2010.12.013.
17. Fatichi S., Ivanov V.Y., Caporali E. On the search for vital details of climate change. Proceedings of the 9th International Workshop on Precipitation in Urban Areas 2012, 250-258. Sankt Moritz, Switzerland. T.E.P. Molnar, P. Burlando (Eds.).
18. Fatichi S., Ivanov V.Y., Caporali E. A mechanistic ecohydrological model to investigate complex interactions in cold and warm water-controlled environments. 1. Theoretical framework and plot-scale analysis. J Adv Model Earth Syst 2012, 4:M05002. 10.1029/2011MS000086.
19. Fatichi S., Ivanov V.Y., Caporali E. A mechanistic ecohydrological model to investigate complex interactions in cold and warm water-controlled environments. 2. Spatiotemporal analyses. J Adv Model Earth Syst 2012, 4:M05003. 10.1029/2011MS000087.
20. Fatichi S., Ivanov V.Y., Caporali E. Assessment of a stochastic downscaling methodology in generating an ensemble of hourly future climate time series. Climate Dynam 2013, 40:1841-1861. 10.1007/s00382-012-1627-2.
21. Fatichi S., Rimkus S., Burlando P., Bordoy R., Molnar P. Elevational dependence of climate change impacts on water resources in an alpine catchment. Hydrol Earth Syst Sci Discuss 2013, 10:3743-3794. 10.5194/hessd-10-3743-2013.
22. Finger D., Heinrich G., Gobiet A., Bauder A. Projections of future water resources and their uncertainty in a glacierized catchment in the Swiss Alps and the subsequent effects on hydropower production during the 21st century. Water Resour Res 2012, 48(W02521). 10.1029/2011WR010733.
23. Fischer A.M., Weigel A.P., Buser C.M., Knutti R., Ku¨nsch H.R., Liniger M.A., et al. Climate change projections for Switzerland based on a Bayesian multi-model approach. Int J Climatol 2012, 32(15):2348-2371.
24. Fischer E.M., Beyerle U., Knutti R. Robust spatially aggregated projections of climate extremes. Nat. Clim. Chang 2013, 10.1038/nclimate2051.
25. Fowler H.J., Blenkinsop S., Tebaldi C. Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int J Climatol 2007, 27:1547-1578. 10.1002/joc.1556.
26. Fuhrer J., Beniston M., Fischlin A., Frei C., Goyette S., Jasper K., et al. Climate risks and their impact on agriculture and forests in Switzerland. Clim Change 2006, 79:79-102. 10.1007/s10584-006-9106-6.
27. Gabbi J., Farinotti D., Bauder A., Maurer H. Ice volume distribution and implications on runoff projections in a glacierized catchment. Hydrol Earth Syst Sci 2012, 16:4543-4556.
28. Hawking E., Sutton R. The potential to narrow uncertainty in regional climate predictions. Bull Am Meteorol Soc 2009, 90:1095-1107. 10.1175/2009BAMS2607.1.
29. Hawking E., Sutton R. The potential to narrow uncertainty in projections of regional precipitation change. Climate Dynam 2011, 37:407-418. 10.1007/s00382-010-0810-6.
30. Hill Clarvis M., Fatichi S., Allan A., Fuhrer J., Stoffel M., Romerio F., et al. Governing and managing water resources under changing hydro-climatic contexts: the case of the Upper Rhone basin. Environ Sci Pol 2014, 10.1016/j.envsci.2013.11.005.
31. Huber M., Knutti R. Anthropogenic and natural warming inferred from changes in Earth's energy balance. Nat Geosci 2012, 5:31-36. 10.1038/ngeo1327.
32. Huss M. Present and future contribution of glacier storage change to runoff from macroscale drainage basins in Europe. Water Resour Res 2011, 47(W07511). 10.1029/2010WR010299.
33. Ivanov V.Y., Bras R.L., Vivoni E.R. Vegetation-hydrology dynamics in complex terrain of semiarid areas: 1. A mechanistic approach to modeling dynamic feedbacks. Water Resour Res 2008, 44:W03429. 10.1029/2006WR005588.
34. Jacob D., Ba¨rring L., Christensen O.B., Christensen J.H., deCastro M., De´que´ M., et al. An inter-comparison of regional climate models for Europe: model performance in present-day climate. Clim Change 2007, 81:31-52. 10.1007/s10584-006-9213-4.
35. Katz R.W., Parlange M.B. Overdispersion phenomenon in stochastic modeling of precipitation. J Climate 1998, 11:591-601.
36. Knutti R. Should we believe model predictions of future climate change?. Phil. Trans. R. Soc. A 2008, 366:4647-4664. 10.1098/rsta.2008.0169.
37. Knutti R., Furrer R., Tebaldi C., Cermak J., Meehl G.A. Challenges in combining projections from multiple climate models. J Climate 2010, 23:2739-2758.
38. Liu Z., Todini E. Towards a comprehensive physically-based rainfall-runoff model. Hydrol Earth Syst Sci 2002, 6(5):859-881.
39. Manning L.J., Hall J.W., Fowler H.J., Kilsby C.G., Tebaldi C. Using probabilistic climate change information from a multimodel ensemble for water resources assessment. Water Resour Res 2009, 45(W11411). 10.1029/2007WR006674.
40. Maraun D., Wetterhall F., Ireson A.M., Chandler R.E., Kendon E.J., Widmann M., et al. Precipitation downscaling under climate change: recent developments to bridge the gap between dynamical models and the end user. Rev Geophys 2010, 48:RG3003.
41. Maslin M., Austin P. Climate models at their limit?. Nature 2012, 486:183-184.
42. Meehl G.A., Covey C., Delworth T., Latif M., McAvaney B., Mitchell J.F.B., et al. The WCRP CMIP3 multimodel dataset: a new era in climate change research. Bull Am Meteorol Soc 2007, 88:1383-1394. 10.1175/BAMS-88-9-1383.
43. Milly P.C.D., Betancourt J., Falkenmark M., Hirsch R.M., Kundzewicz Z.W., Lettenmaier D.P., et al. Stationarity is dead: whither water management?. Science 2008, 319:573-574. 10.1126/science.1151915.
44. Pal J.S., Giorgi F., Bi X., Elguindi N., Solomon F., Gao X., et al. Regional climate modeling for the developing world: the ICTP RegCM3 and RegCNET. Bull Am Meteorol Soc 2007, 88:1395-1409. 10.1175/BAMS-88-9-1395.
45. Paschalis A., Molnar P., Fatichi S., Burlando P. A stochastic model for high-resolution space-time precipitation simulation. Water Resour Res 2013, 49. 10.1002/2013WR014437.
46. Pielke Roger A., Beven K., Brasseur G., Calvert J., Chahine M., Dickerson R.R., et al. Climate change: the need to consider human forcings besides greenhouse gases. Eos Trans AGU 2009, 90(45):413. 10.1029/2009EO450008.
47. Pielke S., Roger A., Wilby R., Niyogi D., Hossain F., Dairuku K., et al. Extreme events and natural hazards: the complexity perspective. Geophys. Monogr. Ser. 2012, 196:345-359. (chap. Dealing with complexity and extreme events using a bottom-up, resource-based vulnerability perspective, AGU).
48. Prein A.F., Gobiet A., Truhetz H. Analysis of uncertainty in large scale climate change projections over Europe. Meteorol Z 2011, 20(4):383-395. 10.1127/0941-2948/2011/0286.
49. Ra¨isa¨nen J. How reliable are climate models?. Tellus A 2007, 59:2-29. 10.1111/j.1600-0870.2006.00211.x.
50. Rajczak J., Pall P., Scha¨r C. Projections of extreme precipitation events in regional climate simulations for Europe and the alpine region. J Geophys Res 2013, 118:3610-3626. 10.1002/jgrd.50297.
51. Rigon R., Bertoldi G., Over T.M. GEOtop: a distributed hydrological model with coupled water and energy budgets. J Hydrometeorol 2006, 7(3):371-388.
52. Rimkus S. TOPKAPI-ETH documentation and user guide. Technical 2013, ETH, Zurich, [112 pp.].
53. Roeckner E., Ba¨uml G., Bonaventura L., Brokopf R., Esch M., Giorgetta M., et al. The atmospheric general circulation model ECHAM5. part i: model description, Tech. Rep. 349 2003, Max Planck Institute for Meteorology, Hamburg, Germany.
54. Rowlands D.J., Frame D.J., Ackerley D., Aina T., Booth B.B.B., Christensen C., et al. Broad range of 2050 warming from an observationally constrained large climate model ensemble. Nat Geosci 2012, 5:256-260.
55. Scha¨dler B., Weingartner R. Alpine waters. Impact of climate change on water resources in the Alpine regions of Switzerland 2010, 6:59-69. chap., Springer-Verlag Berlin Heidelberg.
56. Schmidli J., Frei C., Vidale P.L. Downscaling from GCM precipitation: a benchmark for dynamical and statistical downscaling methods. Int J Climatol 2006, 26:679-689.
57. Schneider E.K., Kinter J.L. An examination of internally generated variability in long climate simulations. Climate Dynam 1994, 10:181-204.
58. Steinschneider S., Brown C. A semiparametric multivariate, multisite weather generator with low-frequency variability for use in climate risk assessments. Water Resour Res 2013, 49. 10.1002/wrcr.20528.
59. Sulis M., Paniconi C., Marrocu M., Huard D., Chaumont D. Hydrologic response to multimodel climate output using a physically based model of groundwater/surface water interactions. Water Resour Res 2012, 48(W12510). 10.1029/2012WR012,304.
60. Themßl M.J., Gobiet A., Leuprecht A. Empirical-statistical downscaling and error correction of daily precipitation from regional climate models. Int J Climatol 2011, 31:1530-1544. 10.1002/joc.2168.
61. van der Linden P., Mitchell J.F.B. ENSEMBLES: climate change and its impacts: summary of research and results from the ENSEMBLES project. Tech. rep 2009, Met Office Hadley Centre, Exeter, UK.
62. Viviroli D., Archer D.R., Buytaert W., Fowler H.J., Greenwood G.B., Hamlet A.F., et al. Climate change and mountain water resources: overview and recommendations for research, management and policy. Hydrol Earth Syst Sci 2011, 15:471-504.
63. Wilby R.L., Dessai S. Robust adaptation to climate change. Weather 2010, 65(7):180-185.
64. Wilby R.L., Dawson C.W., Barrow E.M. SDSM-a decision support tool for the assessment of regional climate change impacts. Environ Model Software 2002, 17(2):145-157.
65. Wilks D.S. Interannual variability and extreme-value characteristics of several stochastic daily precipitation models. Agr Forest Meteorol 1999, 93:153-169.