PPT-Basics concepts of Convective parameterization

amp related issues P Mukhopadhyay Climate v Numerical Weather Prediction NWP Initial state is CRITICAL Dont really care about whole PDF just probable phase space conservation of massenergy to match observed state. A parameterization for 2D and 3D geometries based on piecewise Bezier curves and surfaces is proposed here The requested C inter segment continuity is accomplished by automatically generating additional control points without increasing the number o 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.. . E. CHAM5-HAM. B. Croft. 1. , J.R. . . Pierce. 1. , R.V. Martin. 1,2. , C. Hoose. 3. , and U. Lohmann. 4. 1. Dalhouse University, Canada. 2. Harvard-Smithsonian Centre for Astrophysics, USA. 3. Karlsruhe Institute of Technology, Germany. Geetika Tewari, Harvard University. John Snyder, Microsoft Research . Pedro V. Sander, ATI Research. Steven J. Gortler, Harvard University. Hugues Hoppe, Microsoft Research. Two Scenarios. Authoring: map a texture image onto a surface. Arul Asirvatham, Emil Praun . (University of Utah). Hugues Hoppe . (Microsoft Research). 2. Consistent Spherical Parameterizations. 3. Parameterization. Mapping from a domain (plane, sphere, simplicial complex) to surface. 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. Arul Asirvatham, Emil Praun . (University of Utah). Hugues Hoppe . (Microsoft Research). 2. Consistent Spherical Parameterizations. 3. Parameterization. Mapping from a domain (plane, sphere, simplicial complex) to surface. 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. Josiah Manson and Scott Schaefer. Texas A&M University. Texture Parameterization. Texture Parameterization. Texture Parameterization. Texture Parameterization. MIP-Mapping. MIP-Mapping. MIP-Mapping. Geetika Tewari, Harvard University. John Snyder, Microsoft Research . Pedro V. Sander, ATI Research. Steven J. Gortler, Harvard University. Hugues Hoppe, Microsoft Research. Two Scenarios. Authoring: map a texture image onto a surface. 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. Presented by Sole. Chapters 1 - 5. Introduction. Artificial intelligence. Build . systems . that . incorporate . knowledge . about a . domain to . reason. . on the basis of this knowledge and solve problems . . Overview of Model: Convection. . The convection scheme of . Emanuel and . Živkovic. -Rothman. . (1999) . uses a buoyancy sorting algorithm . and . represents an entire spectrum of convective clouds, from shallow, non-precipitating cumulus to deep precipitating cumulonimbus. Precipitation re-evaporates and drives an unsaturated downdraft that imports enthalpy and moisture into the subcloud layer. Re-evaporation of cloud water, resulting from entrainment of dry air, drives penetrative downdrafts within the clouds. The cloud base mass flux is continuously relaxed so as to produce near neutrality of a parcel lifted dry adiabatically, and then moist adiabatically, to the first level above its lifted condensation level. This maintains a form of boundary layer . Kerry Emanuel. Massachusetts Institute of Technology. Several Possibly Inter-related Enigmas of the Tropical Atmosphere. Why does moist convection often cluster?. What determines the number of tropical cyclones on the planet?.