Assessing the Impacts of Climate Change on Future Precipitation Trends Based on Downscaled CMIP5 Simulations Data

[1]  H. Moradkhani,et al.  Spatial, temporal and frequency based climate change assessment in Columbia River Basin using multi downscaled-scenarios , 2016, Climate Dynamics.

[2]  J. M. Bates,et al.  The Combination of Forecasts , 1969 .

[3]  S. Sorooshian,et al.  Multi-model ensemble hydrologic prediction using Bayesian model averaging , 2007 .

[4]  D. Lettenmaier,et al.  Hydrologic Implications of Dynamical and Statistical Approaches to Downscaling Climate Model Outputs , 2004 .

[5]  Richard N. Palmer,et al.  Mitigating the Effects of Climate Change on the Water Resources of the Columbia River Basin , 2004 .

[6]  Hayley J. Fowler,et al.  Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling , 2007 .

[7]  Mohammad Najafi,et al.  Analysis of runoff extremes using spatial hierarchical Bayesian modeling , 2013 .

[8]  S. Richardson,et al.  Variable selection and Bayesian model averaging in case‐control studies , 2001, Statistics in medicine.

[9]  F. Dominguez,et al.  Changes in winter precipitation extremes for the western United States under a warmer climate as simulated by regional climate models , 2012 .

[10]  A. Raftery,et al.  Using Bayesian Model Averaging to Calibrate Forecast Ensembles , 2005 .

[11]  J. Dickinson.  Some Statistical Results in the Combination of Forecasts , 1973 .

[12]  Stewart J. Cohen,et al.  Climate Change and Resource Management in the Columbia River Basin , 2000 .

[13]  Kuolin Hsu,et al.  A sequential Bayesian approach for hydrologic model selection and prediction , 2009 .

[14]  G. Hegerl,et al.  Changes in temperature and precipitation extremes in the IPCC ensemble of global coupled model simulations , 2007 .

[15]  T. Huntington.  Evidence for intensification of the global water cycle: Review and synthesis , 2006 .

[16]  H. Moradkhani,et al.  Analysis of precipitation extremes with the assessment of regional climate models over the Willamette River Basin, USA , 2013 .

[17]  R. Fisher,et al.  Limiting forms of the frequency distribution of the largest or smallest member of a sample , 1928, Mathematical Proceedings of the Cambridge Philosophical Society.

[18]  T. Ouarda,et al.  Generalized maximum likelihood estimators for the nonstationary generalized extreme value model , 2007 .

[19]  M. Steel,et al.  Benchmark Priors for Bayesian Model Averaging , 2001 .

[20]  Hamid Moradkhani,et al.  Assessment of climate change impact on floodplain and hydrologic ecotones. , 2010 .

[21]  F. Zwiers,et al.  Changes in the Extremes in an Ensemble of Transient Climate Simulations with a Coupled Atmosphere–Ocean GCM , 2000 .

[22]  Francis W. Zwiers,et al.  Estimating Extremes in Transient Climate Change Simulations , 2005 .

[23]  D. Lettenmaier,et al.  A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States* , 2002 .

[24]  Karl E. Taylor,et al.  An overview of CMIP5 and the experiment design , 2012 .

[25]  M. Parlange,et al.  Statistics of extremes in hydrology , 2002 .

[26]  E. Martin,et al.  Comparison of three downscaling methods in simulating the impact of climate change on the hydrology of Mediterranean basins , 2010 .

[27]  S. Emori,et al.  Dynamic and thermodynamic changes in mean and extreme precipitation under changed climate , 2005 .