PPT-Constraining Numerical Forecasts of Deep Convective Initiat

Luke Madaus 27 May 2016 PhD Defense University of Washington Where this all began Where this all began others were thinking about this too Predicting discrete convective initiation CI is a. Implementation, Certification, and Testing (ICT) Workgroup. March 13, 2015. Sarah Corley, MD. David Kates. John Travis. Recommendations for Constraining CCDA. General Considerations. 2. Category.  . Crystal K Williams. Department of Geography-Geology. Illinois State University. Outline. Introduction/Background. Mesoscale Convective Systems. Squall Lines. Precipitation. Conclusions. Introduction. Brian Guyer & Deirdre Kann, National Weather Service, Albuquerque, NM. Project Summary. OBJECTIVE: . Test the growing suite of convective initiation products to determine their potential to improve forecasts and detection of hazardous convective events during the North American monsoon season.. Robert A. Houze, Jr.. University of Washington. with: K. L. Rasmussen, M. D. Zuluaga, and S. R. Brodzik. European Geosciences Union General Assembly, Vienna, Austria 17 April 2015 . The TRMM Satellite. Weather Systems – Fall 2015. Outline:. a. Stability Indices. b. Wind Shear and . Helicity. c. How to relate to predicted / observed convective weather. Convective Parameters. Weather Systems – Fall 2015. Robert A. Houze, Jr.. University of Washington. with: K. L. Rasmussen, M. D. Zuluaga, and S. R. Brodzik. Presented at:. AGU Fall Meeting, San Francisco, 18 December 2015 . The TRMM Satellite. 1997-2014. Robert A. Houze, Jr.. With contributions from:. S. Powell, M. . Zuluaga. , H. Barnes, A. Rowe. AGU Annual Meeting, San Francisco, 11 December 2013. The MJO scale. ~30-60 days. TOGA. COARE. West Pacific. during November . 12-15, . 2015 and November 16-19, 2015. Robert Conrick, Qi Zhong, and Cliff Mass. University of Washington. . Pacific NW Weather Workshop 2017. Cases: November . 12-15, . 2015. Jón. Egill . Kristjánsson. (Univ. Oslo). Many thanks to: Alf . Kirkevåg. (. met.no. ), . Corinna. . Hoose. (Univ. Oslo), Leo Donner (GFDL). Problem Definition. Most GCMs give an aerosol indirect effect which is too high compared to results from residual calculations – . Dr. Jonathan Fairman. 21 April 2016. Presentation by Prof. Dave Schultz. Early meteorology was . not. a science. . “. Whatever may be the progress of sciences, NEVER will observers. who are trust-worthy, and careful of their reputation, venture to foretell the state of the weather.. Ali Stevens, Annarita Mariotti, Dan Barrie, Heather Archambault, Emily Read. Climate Program Office. Contact: alison.stevens@noaa.gov. NMME/SubX Science Meeting. September 13-15, 2017. **Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration.. A Regression Model for Ensemble Forecasts David Unger Climate Prediction Center Summary A linear regression model can be designed specifically for ensemble prediction systems. It is best applied to direct model forecasts of the element in question. Kengo. . Matsubayashi. Japan Meteorological Agency. The Met Office. Outline. Motivation. Observation and evaluation method. Evaluation result. Summary. In many convection schemes, water substances are empirically modelled.. Yaxin Li and Prof. Sally M. Benson. Department of Energy Resources Engineering. Stanford University. Nov 9. th. , 2021. The long-term fate of residually trapped gas is unclear. In CO. 2. storage, a large fraction of injected gas is residually trapped in pore spaces by capillary forces..