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• 1. [Article] Application of Tree-Structured Regression for Regional Precipitation Prediction Using General Circulation Model Output

  This study presents a tree-structured regression (TSR) method to relate daily precipitation with a variety of free-atmosphere variables. Historical data were used to identify distinct weather patterns ...

  Citation × Citation Citation Abstract Copy Title: Application of Tree-Structured Regression for Regional Precipitation Prediction Using General Circulation Model Output Author: Li, Xiangshang, Sailor, David J. Year: 2000 This study presents a tree-structured regression (TSR) method to relate daily precipitation with a variety of free-atmosphere variables. Historical data were used to identify distinct weather patterns associated with differing types of precipitation events. Models were developed using 67% of the data for training and the remaining data for model validation. Seasonal models were built for each of 2 US sites: San Francisco, California, and San Antonio, Texas. The average correlation between observed and simulated daily precipitation data series is 0.75 for the training set and 0.68 for the validation set. Relative humidity was found to be the dominant variable in these TSR models. Output from an NCAR CSM (climate system model) transient simulation of climate change were then used to drive the TSR models in the prediction of precipitation characteristics under climate change. A preliminary screening of the GCM output variables for current climate, however, revealed significant problems for the San Antonio site. Specifically, the CSM missed the annual trends in humidity for the grid cell containing this site. CSM output for the San Francisco site was found to be much more reliable. Therefore, we present future precipitation estimates only for the San Francisco site. Title: Application of Tree-Structured Regression for Regional Precipitation Prediction Using General Circulation Model Output Author: Li, Xiangshang, Sailor, David J. Year: 2000 This study presents a tree-structured regression (TSR) method to relate daily precipitation with a variety of free-atmosphere variables. Historical data were used to identify distinct weather patterns associated with differing types of precipitation events. Models were developed using 67% of the data for training and the remaining data for model validation. Seasonal models were built for each of 2 US sites: San Francisco, California, and San Antonio, Texas. The average correlation between observed and simulated daily precipitation data series is 0.75 for the training set and 0.68 for the validation set. Relative humidity was found to be the dominant variable in these TSR models. Output from an NCAR CSM (climate system model) transient simulation of climate change were then used to drive the TSR models in the prediction of precipitation characteristics under climate change. A preliminary screening of the GCM output variables for current climate, however, revealed significant problems for the San Antonio site. Specifically, the CSM missed the annual trends in humidity for the grid cell containing this site. CSM output for the San Francisco site was found to be much more reliable. Therefore, we present future precipitation estimates only for the San Francisco site. Close

• 2. [Image] Precipitation (Meteorology) in the Litani River Basin as a Function of Space and Time

  	Citation × Citation Citation Abstract Copy Title: Precipitation (Meteorology) in the Litani River Basin as a Function of Space and Time Year: 1965 Title: Precipitation (Meteorology) in the Litani River Basin as a Function of Space and Time Year: 1965 Close

• 3. [Image] Report to the Government of Lebanon on the prospect for increasing the useful water supply in Lebanon by Precipitation (Meteorology) management

  	Citation × Citation Citation Abstract Copy Title: Report to the Government of Lebanon on the prospect for increasing the useful water supply in Lebanon by Precipitation (Meteorology) management Year: 1969 Title: Report to the Government of Lebanon on the prospect for increasing the useful water supply in Lebanon by Precipitation (Meteorology) management Year: 1969 Close

• 4. [Image] Clear Skies After Snow, Rain

  	Citation × Citation Citation Abstract Copy Title: Clear Skies After Snow, Rain Year: 1985 Title: Clear Skies After Snow, Rain Year: 1985 Close

• 5. [Image] Yarmouk Basin

  	Citation × Citation Citation Abstract Copy Title: Yarmouk Basin Year: 2008 Title: Yarmouk Basin Year: 2008 Close

• 6. [Image] Pluviometric Map of Lebanon

  	Citation × Citation Citation Abstract Copy Title: Pluviometric Map of Lebanon Year: 1973 Title: Pluviometric Map of Lebanon Year: 1973 Close

• 7. [Image] Water Resource Development in the Maghreb Countries

  	Citation × Citation Citation Abstract Copy Title: Water Resource Development in the Maghreb Countries Year: 2008 Title: Water Resource Development in the Maghreb Countries Year: 2008 Close

• 8. [Image] Look at Weather Forecasting Reliability in The Dan Area During the Winter of 1978

  	Citation × Citation Citation Abstract Copy Title: Look at Weather Forecasting Reliability in The Dan Area During the Winter of 1978 Year: 2008 Title: Look at Weather Forecasting Reliability in The Dan Area During the Winter of 1978 Year: 2008 Close

• 9. [Image] Jordan Valley and Samaria Desert

  	Citation × Citation Citation Abstract Copy Title: Jordan Valley and Samaria Desert Year: 2008 Title: Jordan Valley and Samaria Desert Year: 2008 Close

• 10. [Image] Tapping the Skywater

  	Citation × Citation Citation Abstract Copy Title: Tapping the Skywater Year: 1991 Title: Tapping the Skywater Year: 1991 Close