Accounting for global-mean warming and scaling uncertainties in climate change impact studies: Application to a regulated lake system

Hydrology and Earth System Sciences

Volumn 11, Issue 3, 2007, Pages 1207-1226

  Hingray, B ^a   Mouhous, N ^a   Mezghani, A ^a   Bogner, K ^a   Schaefli, B ^a   Musy, A ^a  

^a EPFL   (Switzerland)

Author keywords

Climate change impact; Hydrological modelling; Impact analysis; Monte Carlo simulation; Regional response pattern scaling; Switzerland; Uncertainty analysis

Indexed keywords

ATMOSPHERE-OCEAN COUPLING; CLIMATE CHANGE; CLIMATE EFFECT; CLIMATE MODELING; ENVIRONMENTAL IMPACT ASSESSMENT; GENERAL CIRCULATION MODEL; GLOBAL WARMING; HYDROLOGICAL MODELING; LACUSTRINE ENVIRONMENT; MONTE CARLO ANALYSIS; REGIONAL CLIMATE; UNCERTAINTY ANALYSIS; WATER MANAGEMENT;

CENTRAL EUROPE; EURASIA; EUROPE; JURA MOUNTAINS; SWITZERLAND;

EID: 34248231858     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-11-1207-2007     Document Type: Article

References (75)

1. Aebischer, A., 1994. La réussite de la reproduction des oiseaux nicheurs de la rive sud du lac de Neuchåtel. Mandat du Laboratoire de recherches hydrauliques, Eidgenössische Technische Hochschule Zürich, Switzerland.
2. Arnell, N.W. and Hulme, M., 2000. Implications of climate changes for large dams and their management. Thematic Review II.2 prepared as an input to the World Commission on Dams, Cape Town (http://www.dams.org).
3. Arribas, A., Gallardo, C., Gaertner M.A., and Castro, M., 2003. Sensitivity of the Iberian Peninsula climate to a land degradation, Clim. Dynam., 20, 477-489.
4. Buttler, A., Cornali, P. and Bueche, M., 1995. Etude des effets de la régulation des lacs subjurassiens sur la végétation et le milieu. Rapport final, Laboratoire d'écologie végétale et de phytosociologie de l'Université de Neuchâtel. Switzerland.
5. Christensen, J.H., Carter, T.R, and Giorgi, F., 2002. PRUDENCE employs new methods to assess European Climate Change, EOS Trans., AGU, 83, 147.
6. Christensen, J.H., Räisänen, J., Iversen, T., Bjørge, D., Christensen, O.B. and Rummukaincn, M., 2001. A synthesis of regional climate change simulations - A Scandinavian perspective. Geophys. Res. Lett., 28, 1003-1006.
7. Clerc, C., 1999. Suivi scientifique des roseliéres lacustres. Résultats 1993-1998. Champ-Pittet, Switzerland,
8. Denk, M., 2002. Modelling of a regulated lake system and sustainability evaluation of management rules. A case study on the three Jura lakes, Switzerland. Diploma thesis. Ecole Polytechnique Fédé rale de Lausanne, Switzerland.
9. Doms, G. and Schättier, U., 1999. The Nonhydrostatic LimitedArea Model LM (Lokal-Modell) of DWD. Part I: Scientific Documentation, Deutscher Wetterdienst, Meteorologische Analyse und Modellierung, Offenbach, Germany.
10. Ekström, M., Hingray, B., Mezghani, A. and Jones, P.D., 2007. Regional climate model data used within the SWURVE project 2: addressing uncertainty in regional climate model data for five European case study areas, Hydrol. Earth Syst. Sci., 11, 1085-1096.
11. Fowler, HJ., Kilsby, C.G. and O'Connell, P.E., 2003. Modeling the impacts of climatic change and variability on the reliability, resilience, and vulnerability of a water resource system. Water Resour. Res., 39, 1222, doi:10.1029/2002WR001778.
12. Frei, C., Christensen, J.H., Deque, M., Jacob, D., Joncs, R.G. and Vidale, P.L., 2003. Daily precipitation statistics in regional climate models: Evaluation and intercomparison for the European Alps, J. Geophys. Res.- Atmos., 108 (D3), 4124, doi:10.1029/2002JD002287.
13. Gibelin, A.L. and Déqué, M., 2003, Anthropogenic climate change over the Mediterranean region simulated by a global variable resolution model, Clim. Dynam., 20, 327-339.
14. Giorgi, F. and Mearns, L.O., 1991. Approaches to the simulation of regional climate change: a review. Rev. Geophys., 29, 191-216
15. Giorgi, F., Marinucci, M.R. and Bates, G. T., 1993a. Development of a second generation regional climate model (REGCM2). Part I: Boundary layer and radiative transfer processes. Mon. Weather Rev., 121, 2794-2813.
16. Giorgi, F., Marinucci, M. R., Bates, G. T. and DeCanio, G, 1993b. Development of a second generation regional climate model (REGCM2), Part II: convective processes and assimilation of lateral boundary conditions. Mon. Weather Rev., 121, 2814-2832.
17. Gordon, C., Cooper, C., Senior, C.A., Banks, H., Gregory, J.M., Johns, T.C., Mitchell, J.F.B. and Wood, R.A., 2000. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments, Dlim. Dynam., 16, 147-168.
18. Hashimoto, T., Stcdinger, J.R. and Loucks, D.P., 1982. Reliability, Resiliency, and Vulnerability Criteria for Water Resource System Performance Evaluation, Water Resour. Res., 18, 14-20.
19. Hingray, B., Mezghani, A., Schaefli, B., Niggli, M., Faivre, G., Guex, F., Hamdi. Y., Musy, A. 2006. Estimation des débits de crue du Rhône à Porte du Scex et autres points amont caracté ristiques. Projet CONSECRU 2. Rapport final. HYDRAM. Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 190p.
20. Hingray, B., Mezghani, A. and Buishand, A., 2007. Development of probability distributions for regional climate change from uncertain global-mean warming and an uncertain scaling relationship. Hydrol. Earth Syst. Sci., 11, 1097-1114.
21. Horton, P., Schaefli, B., Mezghani, A., Hingray, B.and Musy, A., 2006. Assessment of climate change impacts on Alpine discharge regimes with climate model uncertainty. Hydrol. Process., 20, 2091-2109.
22. Hulme, M., Jenkins, G.J., Lu, X., Turnpenny, J.R., Mitchell, T.D., Jones, R.G., Lowe, J., Murphy, J.M., Hassell. D., Boorman, P., McDonald, R. and Hill, S., 2002. Climate Change Scenarios for the United Kingdom: The UKCIP02 Scientific Report, Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK.
23. Huntingford, C. and Cox, P.M., 2000. An analogue model to derive additional climate change scenarios from existing GCM simulations, Clim. Dynam., 16, 575-586.
24. Jacob, D., 2001, A note to the simulation of the annual and interannual variability of the water budget over the Baltic Sea drainage basin. Meteorol. Almos. Phys., 77, 61-73.
25. Jakeman, A.J. and Hornberger, GM., 1993. How much complexity is warranted in a rainfall-runoff model, Water Resour. Res,, 29, 2637-2649,
26. Jasper, K., Calanca, P., Gyalistras, D. and Fuhrer, J., 2004. Differential impacts of climate change on the hydrology of two alpine river basins. Climate Res., 26, 113-129.
27. Jaton, J.-F., 1989. IIe Correction des eaux du Jura: effets du règlement 1980 - 82 de régulation des lacs en matière hydroagricole - rapport final, Laboratory of Hydrology and Land Improvement, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
28. Jenkins, G. and Lowe, J., 2003. Handling uncertainties in the UKCIP02 scenarios of climate change., Hadley Centre, Technical note 44, Exeter, UK.
29. Jones, R.N., 2000. Analysing the risk of climate change using an irrigation demand model, Climate Res., 14, 89-100.
30. Katz, R.W. and Brown, B.G, 1992. Extreme events in a changing climate: variability is more important than averages, Climatic Change, 21, 289-302.
31. 2 on extreme hydrologie events in the western US. Climatic Change, 68, 153-168.
32. Lane, M.K., Kirshen, P.H. and Vogel, R.M., 1999. Indicators of impacts of global climate change on U. S. water resources. J. Water Resour. Plan. Man.-ASCE, 125, 194-204.
33. Lettenmaier, D.P., Wood, A.W., Palmer, R.N., Wood, E.F. and Stakhiv, E.Z., 1999. Water resources implications of global warming: An U.S. regional perspective. Climatic Change, 43, 537-579.
34. Loukas, A., Vasiliades, L, and Dalezios, N.R., 2002. Potential climate change impacts on flood producing mechanisms in southern British Columbia, Canada using the CGCMA1 simulation results. J. Hydrol., 259, 163-188.
35. Maisch, M., Wipf, A., Denneler, B., Battaglia, J, and Benz, C., 2000, Die Gletscher der Schweizer Alpen: Gletscherhochstand 1850, aktuelle Vergletscherung, Gletscherschwund-Szenarien. Schlussbericht NFP31. Hochschul-Verlag an der ETH, Zürich, 373pp.
36. Martinec. J., Rang,o A, and Major, E., 1983, The snowmelt-runoff model (SRM) user's guide. Nasa Reference Publ. 1100. Washington, D.C. USA.
37. Mearns, L.O., Rosenzweig, C. and Goldberg, R., 1996. The effect of changes in daily and intcrannual climatic variability on cereswheat: A sensitivity study. Climatic Change, 32, 257-292.
38. Mermoud, A., 1995. Méthodes et techniques d'irrigation. Notes de cours, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
39. Mitchell, J.F.B., Johns, T.C., Eagles, M., Ingram, W.J. and Davis. R.A., 1999. Towards the construction of climate change scenarios. Climatic Change, 41, 547-581.
40. Mitchell, T.D., 2003, Pattern scaling - An examination the accuracy of the technique for describing future climates. Climatic Change, 60, 217-242.
41. Monteith, J.L. and Unsworth, M., 1990. Principles of environmental Physics, Second edition. Editions Arnold, London, UK. 291pp.
42. Nakicenovic, N. and Swart, R. (Eds.), 2000, Special Report on Emissions Scenarios (Intergovernmental Panel on Climate Change). Cambridge University Press, Cambridge, UK. 570pp.
43. New, M. and Hulme, M., 2000. Representing Uncertainty in Climate Change Scenarios: a Monte Carlo approach. Integr. Assess. 1, 203-213.
44. Palmer, T.N. and Räisänen, J., 2002, Quantifying the risk of extreme seasonal precipitation events in a changing climate. Nature, 415, 512-514.
45. Pope, V.D., Gallani, M.L., Rowntree, P.R. and Stratton, R.A., 2000. The impact of new physical parametrizations in the Hadley Centre climate model - HadAM3. Clim. Dynam., 16, 123-146.
46. Prudhomme, C., Jakob, D., and Svensson, C., 2003. Uncertainty and climate change impact on the flood regime of small UK catchments. J. Hydrol., 277, 1-23.
47. Prudhomme, C., Reynard, N. and Crooks, S., 2002. Downscaling of global climate models for flood frequency analysis: where are we now? Hydrol. Process., 16, 1137-1150.
48. 2-induced climate change in CMIP2 experiments: Quantification of agreement and role of internal variability.J. Climate, 14, 2088-2104.
49. 2-induced changes in interannual temperature and precipitation variability in 19 CMIP2 experiments.J. Climate, 15, 2395-2411.
50. Räisänen, J., Hansson, U., Ullerstig, A., Döscher, R., Graham, L. P., Jones, C., Meier, H.E.M., Samuelsson, P. and Willén, U., 2004. European climate in the late 21st century: regional simulations with two driving global models and two forcing scenarios, Clim. Dynam., 12, 13-31.
51. Roeckner, E., Bengtsson, L., Feichter, J., Lelieveld, J. and Rodhe, H., 1999. Transient climate change simulations with a coupled atmosphere-ocean GCM including the tropospheric sulfur cycle. J. Climate., 12, 3004-3032.
52. Royer, J.F., Cariolle, D., Chauvin, F., Déqué, M., Douville, H., Planton, S., Rascol, A., Ricard, J.L., Salas y Melia, D., Sevault, F,, Simon, P., Somot, S., Tyteca, S., Terray, L. and Valcke, S., 2002. Simulation of climate changes during the 21st century including stratospheric ozone. CR Geosci., 334, 147-154.
53. Santer, B.D., Wigley, T.M.L., Schlesinger, M.E. and Mitchell, J.F.B., 1990. Developing climate scenarios for equilibrium GCM results. MPI report 47, Hamburg, Germany.
54. Schaefli, B., 2005. Quantification of modelling uncertainties in climate change impact studies on "water resources : Application to a glacier-fed hydropower production system in the Swiss A Ips. Doctoral Thesis, Ecole Polytechnique Fédérale de Lausanne, 209 pp, http://library.epfl.ch/theses, thesis no 3225.
55. Schaefli, B., Hingray, B. and Musy, A., 2004. Improved calibration of hydrological models: use of a multi-objective evolutionary algorithm for parameter and model structure uncertainty estimation. In: Hydrology: Science and Practice for the 21st Century, B.W. Webb et al. (Eds.), British Hydrological Society, London, UK. 362-371.
56. Schaefli, B., Hingray, B. and Musy, A., 2007. Climate change and hydropower production in the Swiss Alps: quantification of potential impacts and related modelling uncertainties, Hydrol Earth Syst. Sci., 11, 1191-1205.
57. Schär, C., Vidale, P.L., Lüthi, D., Frei, C., Häberli, C., Liniger, M.A. and Appenzeller, C., 2004. The role of increasing temperature variability in European summer heatwaves. Nature, doi: 10.1038/nature02300.
58. 2 and climate - importance of the transient response. J. Geophys. Res. Oceans Atmos. 86, 3135-3147.
59. Zorita, E. and von Storch, H., 1999. The analog method as a simple statistical downscaling technique: comparison with more complicated methods. J. Climate, 12, 2474-2489.
60. Schreider, S.Y., Whotton, P.H., Jakcman. A.J. and Pittock, A.B., 1997, Runoff modelling for snow affected catchments in the Australian alpine region, Eastern Victoria, J. Hydrol. 200, 1-23.
61. Shabalova, M.V., Van Deursen, W.P.A. and Buishand, T.A., 2003. Assessing future discharge of the river Rhine using regional climate model integrations and a hydrological model. Climate Res., 23, 223-246.
62. Spreafico, M., Weingartner, R. and Leibundgut, C., 1992, Atlas hydrologique de la Suisse. Service Hydrologique et Géologique National, Bern. Switzerland.
63. Steel, M., 1999. Historic rainfall, climatic variability and flood risk estimation/or Scotland. PhD thesis. University of Dundee, UK.
64. SwissTopo, 1997. Digital National Maps of Switzerland - PM25, Wabern, Switzerland.
65. VAW, 1996. Régularisation optimale de la IIe correction des eaux du Jura (IIe CEJ). 3941 F, Versuchsanstalt für Wasserbau, Hydrologie und Glaziologie der Eidgenössischen Technischen Hochschule Zürich, Switzerland.
66. Vidale, P.L., Lüthi, D., Frei, C., Seneviratne, S, and Schär, C., 2003, Predictability and uncertainty in a Regional Climate Model. J. Geophys. Res.-Almos., 108(D18),4586, doi: 10.1029/2002JD002810, 2003.
67. Vogel, R.M., Lane, M., Ravindiran, R.S. and Kirshen, P.H., 1999. Storage reservoir behavior in the United States. J. Water Resour. Plan. Man.-ASCE, 125, 245-254.
68. Whetton, P., Hylock, M. and Galloway, R., 1996. Climate change and snow-cover duration in the Australian Alps. Climatic Change, 32, 447-479.
69. Wigley, T.M.L. and Raper, S.C.B., 2001. Interpretation of High Projections for Global-Mean Warming, Science, 293 (5529), 451-454.
70. Wigley, T.M.L., Raper, S.C.B., Smith, S. and Hulme, M., 2000. The Magicc/ScenGen Climate Scenario Generator: version 2.4: Technical Manual, CRU, UEA, Norwich, U.K.
71. Xu, C.Y., 1999. From GCMs to river flow: a review of downscaling methods and hydrologie modelling approaches. Prog. Phys. Geogr., 23, 229-249.
72. Young, P., 1984. Recursive Estimation and Time-Series Analysis. Springer, Berlin, Germany.
73. Young, P., 1993. Time variable and state dependent modelling of non-stationary and non-linear time series. In: Developments in Time Series Analysis, T. Subba Rao (Ed.), Chapman and Hall, London, UK. 374-113.
74. Young, P. and Beven, K., 1994. Data-based mechanistic modelling and the rainfall-flow non-linearity. Environmetrics, 5, 335-363.
75. Zaugg, B., Pedroli, J.C. and Zaugg, C., 1994. Incidences des fluctuations du niveau du lac de Neuchâtel sur la faune piscicole. Rapport du bureau Aquarius, Neuchâtel, Switzerland.