An Improved Stochastic Weather Generator for Hydrological Impact Studies

References

• Awadallah , A. G. , Rousselle , J. and Leconte , R. 1999 . «Évolution du risque hydrologique sur la rivière Châteauguay.» . Canadian Journal of Civil Engineering , 26 ( 4 ) : 510 – 513 .
   Google Scholar
• Bisson , J. L. and Roberge , F. 1983 . “ « Prévision des apports naturels: Expérience d'Hydro-Québec. » ” . In Workshop on flow predictions, Toronto, ON, November 1983
   Google Scholar
• Brissette , F. , Khalili , M. and Leconte , R. 2007 . “Efficient Stochastic Generation of Multi-Site Synthetic Precipitation Data.” . Journal of Hydrology , 345 : 121 – 133 .
   Google Scholar
• Buishand , T. A. 1978 . “Some Remarks on the Use of Daily Rainfall Models.” . Journal of Hydrology , 36 : 295 – 308 .
   Web of Science ®Google Scholar
• Buishand , T. A. 1991 . “Extreme Rainfall Estimation by Combining Data from Several Sites.” . Hydrological Sciences Journal , 36 : 345 – 365 .
   Web of Science ®Google Scholar
• Bury , K. 1999 . Statistical Distributions in Engineering Cambridge , , United Kingdom : Cambridge University Press .
   Google Scholar
• Caron , A. 2006 . Étalonnage et validation d'un générateur de climat dans le contexte de changements climatiques. Mémoire de maîtrise. École de technologie supérieure, Montréal
   Google Scholar
• Cunnane , C. 1978 . “Unbiased Plotting Positions—A Review.” . Journal of Hydrology , 37 : 205 – 222 .
   Web of Science ®Google Scholar
• Environment Canada. 1986 . Climatic Atlas of Canada: A Series of Maps Portraying Canada's Climate. Map Series 2 - Precipitation. Ottawa. Environment Canada. Atmospheric Environment Service, Maps
   Google Scholar
• Fortin , V. 2000 . Le modèle météo-apport HSAMI: historique, théorie et application. Rapport de recherche, révision 1,5. Institut de recherche d'Hydro-Québec (IREQ), Varennes, Canada
   Google Scholar
• Fortin , V. , Favre , A.-C. and Saïd , M. 2006 . “Probabilistic Forecasting from Ensemble Prediction Systems: Improving Upon the Best-member Method by Using a Different Weight and Dressing Kernel for Each Member.” . Quarterly Journal of the Royal Meteorological Society , 132 : 1349 – 1369 .
   Google Scholar
• Haan , C. Y. 1977 . Statistical Methods in Hydrology. The Iowa State University Press
   Google Scholar
• Hay , L. E. , Clark , M. P. , Wilby , R. L. , Gutowsky , W. J. Jr. , Leavesley , G. H. , Pan , Z. , Arritt , R. W. and Takle , E. S. 2002 . “Use of Regional Climate Model Output for Hydrologic Simulations.” . Journal of Hydrometeorology , 3 : 571 – 590 .
   Web of Science ®Google Scholar
• Hogg , W. D. and Carr , D. A. 1985 . Rainfall Frequency Atlas for Canada. A publication of the Canadian Climate Program
   Google Scholar
• Interagency Committee on Water Data (IACWD). 1982 . Guidelines for Determining Flood Flow Frequency Analysis. Bulletin 17B, Hydrol. Subcommittee, Washington, DC
   Google Scholar
• Intergovernmental Panel on Climate Change (IPCC). 2007 . Climate Change 2007: The Physical Science Basis. Summary for Policymakers. IPCC Secretariat, Switzerland
   Google Scholar
• Katz , R. W. and Brown , B. G. 1994 . “Sensitivity of Extreme Events to Climate Change: The Case of Autocorrelated Time Series.” . Environmetrics , 5 : 451 – 462 .
   Google Scholar
• Katz , R. W. and Parlange , M. B. 1998 . “Overdispersion Phenomenon in Stochastic Modeling of Precipitation.” . Journal of Climate , 11 : 591 – 601 .
   Web of Science ®Google Scholar
• Katz , R. W. , Parlange , M. B. and Naveau , P. 2002 . “Statistics of Extremes in Hydrology.” . Advances in Water Resources , 25 : 1287 – 1304 .
   Web of Science ®Google Scholar
• Khalili , M. , Leconte , R. and Brissette , F. 2007 . “Stochastic Multi-Site Generation of Daily Precipitation Data Using Spatial Autocorrelation.” . Journal of Hydrometeorology , 8 ( 3 ) : 396 – 412 .
   Web of Science ®Google Scholar
• Khan , M. S. , Coulibaly , P. and Dibike , Y. 2006 . “Uncertainty Analysis of Statistical Downscaling Methods Using Canadian Global Climate Model Predictors.” . Hydrological Processes , 20 : 3085 – 3104 .
   Web of Science ®Google Scholar
• Kharin , V. V. and Zwiers , F. W. 2000 . “Changes in the Extremes in an Ensemble of Transient Climate Simulation with a Coupled Atmosphere-Ocean GCM.” . Journal of Climate , 13 : 3760 – 3788 .
   Web of Science ®Google Scholar
• Linsley , R. K. , Kohler , M. A. and Paulhus , J. L.H. 1982 . Hydrology for Engineers, Third Edition. McGraw-Hill
   Google Scholar
• Mareuil , A. , Leconte , R. , Brissette , F. and Minville , M. 2007 . “Impacts of Climate Change on the Flood Frequency and Severity of the Châteauguay River Basin, Canada.” . Canadian Journal of Civil Engineering , 34 : 1048 – 1060 .
   Google Scholar
• Matalas , N. C. 1967 . “Mathematical Assessment of Synthetic Hydrology.” . Water Resources Research , 9 ( 4 ) : 871 – 884 .
   Google Scholar
• Qian , B. D. , Gameda , S. , Hayhoe , H. , De Jong , R. and Bootsma , A. 2004 . “Comparison of LARS-WG and AAFC-WG Stochastic Weather Generators for Diverse Canadian Climates.” . Climate Research , 26 ( 3 ) : 175 – 191 .
   Google Scholar
• Racsko , P. , Szeidl , L. and Semenov , M. 1991 . “A Serial Approach to Local Stochastic Weather Models.” . Ecological Modelling , 57 : 27 – 41 .
   Web of Science ®Google Scholar
• Richardson , C. W. 1981 . “Stochastic Simulation of Daily Precipitation, Temperature and Solar Radiation.” . Water Resources Research , 17 ( 1 ) : 182 – 190 .
   Web of Science ®Google Scholar
• Richardson , C. W. and Wright , D. A. 1984 . WGEN: A Model for Generating Daily Weather Variables. U.S. Department of Agriculture. Agricultureal Research Service, ARS-8
   Google Scholar
• Roy , L. 2000 . Évolution du risque hydrologique sur le bassin versant de la rivière Châteauguay. Mémoire de maîtrise, École de technologie supérieure, Montréal
   Google Scholar
• Semenov , M. A. 2007 . “Development of High-Resolution UKCIP02-Based Climate Change Scenarios in the UK.” . Agricultural and Forest Meteorology , 144 : 127 – 138 .
   Web of Science ®Google Scholar
• Semenov , M. A. and Barrow , E. M. 1997 . “Use of a Stochastic Weather Generator in the Development of Climate Change Scenarios.” . Climatic Change , 35 : 397 – 414 .
   Web of Science ®Google Scholar
• Semenov , M. A. , Brooks , R. J. , Barrow , E. M. and Richardson , C. W. 1998 . “Comparison of the WGEN and LARS-WG Stochastic Weather Generators for Diverse Climates.” . Climate Research , 10 ( 2 ) : 95 – 107 .
   Google Scholar
• STARDEX. 2007 . Statistical and Regional Dynamic Downscaling of Extreme for European Regions http://www.cru.uea.ac.uk/projects/stardex/
   Google Scholar
• Todorovic , P. and Woolhiser , D. A. 1974 . “Stochastic Model of Daily Rainfall.” . In Proceedings of the Symposium on Statistical Hydrology, U.S. Department of Agriculture, Misc. Publ.# 1275, 223:246
   Google Scholar
• Watt , W. E. , Lathem , K. W. , Neill , C. R. , Richards , T. L. and Rousselle , J. 1989 . Hydrology of Floods in Canada: A Guide to Planning and Design. National Research Council Canada
   Google Scholar
• Weiss , A. , Hays , C. J. and Won , J. 2003 . “Assessing Winter Wheat Responses to Climate Change Scenarios: A Simulation Study in the U.S. Great Plains.” . Climatic Change , 58 : 119 – 147 .
   Web of Science ®Google Scholar
• Wetterhall , F. , Bardossy , A. , Chen , D. , Halldin , S. and Xu , C-Y. 2006 . “Daily Precipitation-Downscaling Techniques in Three Chinese Regions.” . Water Resources Research , 42 : W11423
   Google Scholar
• Wilby , R. L. and Wigley , T. M.L. 2000 . “Precipitation Predictors for Downscaling: Observed and General Circulation Model Relationships.” . International Journal of Climatology , 20 : 641 – 661 .
   Web of Science ®Google Scholar
• Wilby , R. L. , Charles , S. P. , Zorita , E. , Timbal , B. , Whetton , P. and Mearns , L. O. 2004 . Guidelines for Use of Climate Scenarios Developed from Statistical Downscaling Methods. Technical report, Data Distribution Centre of the IPCC http://ipcc-ddc.cru.uea.ac.uk/guidelines/index.html.
   Google Scholar
• Wilks , D. S. 1992 . “Adapting Stochastic Weather Generation Algorithms for Climate Change Studies.” . Climatic Change , 22 : 67 – 84 .
   Web of Science ®Google Scholar
• Wilks , D. S. 1995 . Statistical Methods in the Atmospheric Sciences: An Introduction London : Academic Press .
   Google Scholar
• Wilks , D. S. 1998 . “Multisite Generalization of Daily Stochastic Precipitation Generation Model.” . Journal of Hydrology , 210 ( 1 ) : 178 – 192 .
   Web of Science ®Google Scholar
• Wilks , D. S. and Wilby , R. L. 1999 . “The Weather Generation Game: A Review of Stochastic Models.” . Progress in Physical Geography , 23 ( 3 ) : 329 – 357 .
   Web of Science ®Google Scholar
• Williams , J. R. 1995 . “The EPIC Model.” . In Computer Models of Watershed Hydrology. Water Ressources Publications, Littleton, CO Edited by: Singh , V. P.
   Google Scholar
• Zhang , X. C. and Garbrecht , J. D. 2003 . “Evaluation of CLIGEN Precipitation Parameters and Their Implication on WEPP Runoff and Erosion Prediction.” . Transactions of the ASAE , 46 : 311 – 320 .
   Google Scholar