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• 1. [Article] Some characteristics of time and space patterns of fall precipitation in northwest Oregon

  Citation × Citation Citation Abstract Copy Title: Some characteristics of time and space patterns of fall precipitation in northwest Oregon Author: Velthoen, John Richard Title: Some characteristics of time and space patterns of fall precipitation in northwest Oregon Author: Velthoen, John Richard Close

• 2. [Article] Surface observations of the electrical charges retained by precipitation

  Citation × Citation Citation Abstract Copy Title: Surface observations of the electrical charges retained by precipitation Author: Couch, Richard W. Title: Surface observations of the electrical charges retained by precipitation Author: Couch, Richard W. Close

• 3. [Article] Analysis of microwave back-scattering from precipitation

  Citation × Citation Citation Abstract Copy Title: Analysis of microwave back-scattering from precipitation Author: Hershman, Arthur Lee Title: Analysis of microwave back-scattering from precipitation Author: Hershman, Arthur Lee Close

• 4. [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

• 5. [Image] Annual Precipitation (Meteorology) - Runoff and Water Consumption in European Countries

  	Citation × Citation Citation Abstract Copy Title: Annual Precipitation (Meteorology) - Runoff and Water Consumption in European Countries Year: 1984 Title: Annual Precipitation (Meteorology) - Runoff and Water Consumption in European Countries Year: 1984 Close

• 6. [Image] Precipitation (Meteorology) in Turkey

  	Citation × Citation Citation Abstract Copy Title: Precipitation (Meteorology) in Turkey Year: 1984 Title: Precipitation (Meteorology) in Turkey Year: 1984 Close

• 7. [Image] Diagnosis of the sources determining chemical composition of Precipitation (Meteorology) in Israel - Meteorological - Chemical analysis

  	Citation × Citation Citation Abstract Copy Title: Diagnosis of the sources determining chemical composition of Precipitation (Meteorology) in Israel - Meteorological - Chemical analysis Year: 1985 Title: Diagnosis of the sources determining chemical composition of Precipitation (Meteorology) in Israel - Meteorological - Chemical analysis Year: 1985 Close

• 8. [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

• 9. [Image] Precipitation (Meteorology) Water Quality in Jordan

  	Citation × Citation Citation Abstract Copy Title: Precipitation (Meteorology) Water Quality in Jordan Author: Salāmah, Ilyās Year: 1991 Title: Precipitation (Meteorology) Water Quality in Jordan Author: Salāmah, Ilyās Year: 1991 Close

• 10. [Image] Map of Annual Distribution of Precipitation (Meteorology) in Turkey

  	Citation × Citation Citation Abstract Copy Title: Map of Annual Distribution of Precipitation (Meteorology) in Turkey Year: 1984 Title: Map of Annual Distribution of Precipitation (Meteorology) in Turkey Year: 1984 Close

• 11. [Image] Precipitation (Meteorology) and Irrigation Requirements of Turkey

  	Citation × Citation Citation Abstract Copy Title: Precipitation (Meteorology) and Irrigation Requirements of Turkey Year: 1984 Title: Precipitation (Meteorology) and Irrigation Requirements of Turkey Year: 1984 Close

• 12. [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

• 13. [Article] Characterizing Large-Scale Meteorological Patterns and Associated Temperature and Precipitation Extremes over the Northwestern United States Using Self-Organizing Maps

  The self-organizing maps (SOMs) approach is demonstrated as a way to identify a range of archetypal large-scale meteorological patterns (LSMPs) over the northwestern United States and connect these patterns ...

  Citation × Citation Citation Abstract Copy Title: Characterizing Large-Scale Meteorological Patterns and Associated Temperature and Precipitation Extremes over the Northwestern United States Using Self-Organizing Maps Author: Loikith, Paul C., Lintner, Benjamin R., Sweeney, Alex Year: 2017 The self-organizing maps (SOMs) approach is demonstrated as a way to identify a range of archetypal large-scale meteorological patterns (LSMPs) over the northwestern United States and connect these patterns with local-scale temperature and precipitation extremes. SOMs are used to construct a set of 12 characteristic LSMPs (nodes) based on daily reanalysis circulation fields spanning the range of observed synoptic-scale variability for the summer and winter seasons for the period 1979–2013. Composites of surface variables are constructed for subsets of days assigned to each node to explore relationships between temperature, precipitation, and the node patterns. The SOMs approach also captures interannual variability in daily weather regime frequency related to El Niño–Southern Oscillation. Temperature and precipitation extremes in high-resolution gridded observations and in situ station data show robust relationships with particular nodes in many cases, supporting the approach as a way to identify LSMPs associated with local extremes. Assigning days from the extreme warm summer of 2015 and wet winter of 2016 to nodes illustrates how SOMs may be used to assess future changes in extremes. These results point to the applicability of SOMs to climate model evaluation and assessment of future projections of local-scale extremes without requiring simulations to reliably resolve extremes at high spatial scales. Title: Characterizing Large-Scale Meteorological Patterns and Associated Temperature and Precipitation Extremes over the Northwestern United States Using Self-Organizing Maps Author: Loikith, Paul C., Lintner, Benjamin R., Sweeney, Alex Year: 2017 The self-organizing maps (SOMs) approach is demonstrated as a way to identify a range of archetypal large-scale meteorological patterns (LSMPs) over the northwestern United States and connect these patterns with local-scale temperature and precipitation extremes. SOMs are used to construct a set of 12 characteristic LSMPs (nodes) based on daily reanalysis circulation fields spanning the range of observed synoptic-scale variability for the summer and winter seasons for the period 1979–2013. Composites of surface variables are constructed for subsets of days assigned to each node to explore relationships between temperature, precipitation, and the node patterns. The SOMs approach also captures interannual variability in daily weather regime frequency related to El Niño–Southern Oscillation. Temperature and precipitation extremes in high-resolution gridded observations and in situ station data show robust relationships with particular nodes in many cases, supporting the approach as a way to identify LSMPs associated with local extremes. Assigning days from the extreme warm summer of 2015 and wet winter of 2016 to nodes illustrates how SOMs may be used to assess future changes in extremes. These results point to the applicability of SOMs to climate model evaluation and assessment of future projections of local-scale extremes without requiring simulations to reliably resolve extremes at high spatial scales. Close

• 14. [Article] Mountain waves with neutral thermodynamic stability

  Citation × Citation Citation Abstract Copy Title: Mountain waves with neutral thermodynamic stability Author: Pike, Julian McKendree Title: Mountain waves with neutral thermodynamic stability Author: Pike, Julian McKendree Close

• 15. [Article] Spectrographic analysis for silver of rainwater from cloud seeding

  Citation × Citation Citation Abstract Copy Title: Spectrographic analysis for silver of rainwater from cloud seeding Author: Sommerfeldt, Raymond Walter Title: Spectrographic analysis for silver of rainwater from cloud seeding Author: Sommerfeldt, Raymond Walter Close

• 16. [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

• 17. [Image] Yillik Meteoroloji Bulteni 1962

  	Citation × Citation Citation Abstract Copy Title: Yillik Meteoroloji Bulteni 1962 Year: 1962 Title: Yillik Meteoroloji Bulteni 1962 Year: 1962 Close

• 18. [Image] Ch. 1: Project setting and tables

  	Citation × Citation Citation Abstract Copy Title: Ch. 1: Project setting and tables Year: 2008 Title: Ch. 1: Project setting and tables Year: 2008 Close

• 19. [Image] Bibliography

  	Citation × Citation Citation Abstract Copy Title: Bibliography Year: 2008 Title: Bibliography Year: 2008 Close

• 20. [Image] References

  	Citation × Citation Citation Abstract Copy Title: References Year: 1984 Title: References Year: 1984 Close