Prediction of variability of precipitation in the Yangtze River Basin under the climate change conditions based on automated statistical downscaling

Downscaling GCMs using the Smooth Support Vector Machine method to predict daily precipitation in the Hanjiang Basin

(2010) Hua Chen et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Projected changes in temperature and precipitation extremes over the Yangtze River Basin of China in the 21st century

(2009) Ying Xu et al.   QUATERNARY INTERNATIONAL

Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China

(2009) J. T. Chu et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Simulation of extreme precipitation over the Yangtze River Basin using Wakeby distribution

(2008) Buda Su et al.   THEORETICAL AND APPLIED CLIMATOLOGY

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

Climate change and fluvial flood risk in the UK: more of the same?

(2007) R. L. Wilby et al.   HYDROLOGICAL PROCESSES

Spatial and temporal variability of precipitation maxima during 1960–2005 in the Yangtze River basin and possible association with large-scale circulation

(2007) Qiang Zhang et al.   JOURNAL OF HYDROLOGY