Statistical downscaling of precipitation and temperature using sparse Bayesian learning, multiple linear regression and genetic programming frameworks

Quantile-Based Downscaling of Precipitation Using Genetic Programming: Application to IDF Curves in Saskatoon

(2013) Elmira Hassanzadeh et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Databased comparison of Sparse Bayesian Learning and Multiple Linear Regression for statistical downscaling of low flow indices

(2013) Deepti Joshi et al.   JOURNAL OF HYDROLOGY

Improved statistical downscaling of daily precipitation using SDSM platform and data-mining methods

(2012) H. Tavakol-Davani et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Downscaling Extremes—An Intercomparison of Multiple Statistical Methods for Present Climate

(2012) G. Bürger et al.   JOURNAL OF CLIMATE

DEVELOPMENT OF A STOCHASTIC WATER TEMPERATURE MODEL AND PROJECTION OF FUTURE WATER TEMPERATURE AND EXTREME EVENTS IN THE OUELLE RIVER BASIN IN QUÉBEC, CANADA

(2012) D. I. Jeong et al.   RIVER RESEARCH AND APPLICATIONS

Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP)

(2011) Muhammad Z. Hashmi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Application of support vector machine and relevance vector machine to determine evaporative losses in reservoirs

(2011) Pijush Samui et al.   HYDROLOGICAL PROCESSES

Statistical Downscaling of Precipitation Using Machine Learning with Optimal Predictor Selection

(2010) Mohammad Reza Najafi et al.   JOURNAL OF HYDROLOGIC ENGINEERING

The Processes, Patterns and Impacts of Low Flows Across Canada

(2009) Donald H Burn et al.   Canadian Water Resources Journal

Statistical downscaling of GCM simulations to streamflow using relevance vector machine

(2007) Subimal Ghosh et al.   ADVANCES IN WATER RESOURCES

Automated regression-based statistical downscaling tool

(2007) Masoud Hessami et al.   ENVIRONMENTAL MODELLING & SOFTWARE