Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network models

[1]  W. Landman,et al.  Statistical downscaling of GCM simulations to Streamflow , 2001 .

[2]  Christian W. Dawson,et al.  Hydrological modelling using artificial neural networks , 2001 .

[3]  Alex J. Cannon,et al.  MODELING TRANSIENT pH DEPRESSIONS IN COASTAL STREAMS OF BRITISH COLUMBIA USING NEURAL NETWORKS 1 , 2001 .

[4]  Michael D. Dettinger,et al.  A Hybrid Orographic plus Statistical Model for Downscaling Daily Precipitation in Northern California , 2000 .

[5]  JOHN G. CARNEY,et al.  Tuning Diversity in Bagged Ensembles , 2000, Int. J. Neural Syst..

[6]  C. Bretherton,et al.  Validation of Mesoscale Precipitation in the NCEP Reanalysis Using a New Gridcell Dataset for the Northwestern United States , 2000 .

[7]  Alex J. Cannon,et al.  Forecasting Summertime Surface-Level Ozone Concentrations in the Lower Fraser Valley of British Columbia: An Ensemble Neural Network Approach , 2000, Journal of the Air & Waste Management Association.

[8]  W. D. Hogg,et al.  Trends in Canadian streamflow , 2000 .

[9]  James M. Ehrman,et al.  Backcasting to Test the Use of Neural Networks for Predicting Runoff in Canadian Rivers , 2000 .

[10]  Alex J. Cannon,et al.  Recent Variations in Climate and Hydrology in Canada , 2000 .

[11]  William W. Hsieh,et al.  Skill Comparisons between Neural Networks and Canonical Correlation Analysis in Predicting the Equatorial Pacific Sea Surface Temperatures , 2000 .

[12]  Holger R. Maier,et al.  Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications , 2000, Environ. Model. Softw..

[13]  Arun Kumar,et al.  Simulations of the ENSO Hydroclimate Signals in the Pacific Northwest Columbia River Basin , 1999 .

[14]  H. Storch,et al.  The Analog Method as a Simple Statistical Downscaling Technique: Comparison with More Complicated Methods , 1999 .

[15]  James P. Hughes,et al.  Validation of downscaling models for changed climate conditions: case study of southwestern Australia , 1999 .

[16]  A. Loukas,et al.  The Effect of Climate Change on Floods in British Columbia , 1999 .

[17]  Chong-yu Xu.  From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches , 1999 .

[18]  William R. Burrows,et al.  Empirical-statistical reconstruction of surface marine winds along the western coast of Canada , 1999 .

[19]  Robert J. Marks,et al.  Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks , 1999 .

[20]  R. Schnur,et al.  A case study of statistical downscaling in Australia using weather classification by recursive partitioning , 1998 .

[21]  James M. Ehrman,et al.  Changes to the runoff of Canadian ecozones under a doubled CO2 atmosphere , 1998 .

[22]  William W. Hsieh,et al.  Applying Neural Network Models to Prediction and Data Analysis in Meteorology and Oceanography. , 1998 .

[23]  Bruce Hewitson,et al.  Doubled CO2 precipitation changes for the Susquehanna basin: down-scaling from the Genesis general c , 1998 .

[24]  Rory M.M. Leith,et al.  EVIDENCE OF CLIMATE CHANGE EFFECTS ON THE HYDROLOGY OF STREAMS IN SOUTH-CENTRAL BC , 1998 .

[25]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[26]  J. Wallace,et al.  A Pacific Interdecadal Climate Oscillation with Impacts on Salmon Production , 1997 .

[27]  R. Tibshirani,et al.  Improvements on Cross-Validation: The 632+ Bootstrap Method , 1997 .

[28]  B. Hewitson,et al.  Climate downscaling: techniques and application , 1996 .

[29]  M. Dettinger,et al.  Large-Scale Atmospheric Forcing of Recent Trends toward Early Snowmelt Runoff in California , 1995 .

[30]  Martin A. Riedmiller,et al.  Advanced supervised learning in multi-layer perceptrons — From backpropagation to adaptive learning algorithms , 1994 .

[31]  B. Hewitson.  Regional climates in the GISS general circulation model: Surface air temperature , 1994 .

[32]  K. Hipel,et al.  Time series modelling of water resources and environmental systems , 1994 .

[33]  Daniel R. Cayan,et al.  Climatic Fluctuations and the Timing of West Coast Streamflow , 1992 .

[34]  Elie Bienenstock,et al.  Neural Networks and the Bias/Variance Dilemma , 1992, Neural Computation.

[35]  George Cybenko,et al.  Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..

[36]  Space and Time Variations in Specifying Monthly Mean Surface Temperature from the 700 mb Height Field , 1985 .

[37]  Thomas R. Karl,et al.  The Identification of 10- to 20-Year Temperature and Precipitation Fluctuations in the Contiguous United States , 1984 .

[38]  Cort J. Willmott,et al.  Spatial statistics and models , 1984 .

[39]  Cort J. Willmott,et al.  On the Evaluation of Model Performance in Physical Geography , 1984 .

[40]  W. Klein,et al.  Objective Specification of Monthly Mean Surface Temperature from Mean 700 mb Heights in Winter , 1983 .

[41]  David Hinkley,et al.  On Quick Choice of Power Transformation , 1977 .