PPT-Constraining Numerical Forecasts of Deep Convective Initiat
Author : min-jolicoeur | Published Date : 2017-12-04
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
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Constraining Numerical Forecasts of Deep Convective Initiat: Transcript
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. . Brian Mapes, U of Miami. with. Baohua Chen (UM). Richard Neale (NCAR). Emily Riley (UM). Organ-ization. From Greek organon. about . instrumentality . or . working order. "Organized" convection. (weak) Something is making it patterned . boundary . layer and . orographic. circulation . with . locally-triggered deep convection around the Santa Catalina Mountains in Arizona. Bart Geerts . (geerts@uwyo.edu) . . J. 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. &. related issues. P. . Mukhopadhyay. Climate v. Numerical Weather Prediction. NWP: . Initial state is CRITICAL. Don’t really care about whole PDF, just probable phase space. conservation of mass/energy to match observed state. 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. Forecasting procedures (Sippel). Flight modules & planning (Braun). PayMOF operations (Newman). HS3 Forecasting. (for ops manual). Forecast briefings for 2012 were held at 0800 and 2000 LST, but they will be moved back to 0830 and 2030 LST (1230Z and 0030Z) so that 0600Z and 1800Z model guidance (in particular NCEP-GFS) can be examined. Ref Vel. stratiform. Conv(all) rad_ref. Cloud analysis followed by 3dvar. Conv(uv spd) rw. Only 3dvar analysis. Applied DFI to Qv only, other mosit variable like Qs, Qc, Qr, Qg, Qi are remain unchanged and. Interim Findings from NCHRP 08-110 Traffic Forecasting Accuracy Assessment Research March 15, 2019 Greg Erhardt & Jawad Hoque University of Kentucky Dave Schmitt Connetics Transportation Group 2 NCHRP 08-110 Traffic Forecasting Accuracy Assessment Research May 2019 Greg Erhardt & Jawad Hoque University of Kentucky Dave Schmitt Connetics Transportation Group 2 “The greatest knowledge gap in US travel demand modeling is the unknown accuracy of US urban road a model orography . intercomparison. and implications for drag . parameterization. Andy Elvidge. 1. , Irina Sandu. 2. , Nils Wedi. 2. , . Ayrton. Zadra. 3. , Simon Vosper. 1. , . Masashi Ujiie. 4. , Mikhail Tolstykh. role of precipitation-driven cold pools in deep convective cloud development over . the warm tropical . Ocean.. Approach. Track cold . pools and clouds developed near their boundaries using high-resolution regional model simulation.
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