PPT-Introduction To ‘Parameterization’

Parameterization Parameterization is used to change the value of any variable at run time Following can be parameterized in a script file   URL portion   Header portion   BODY portion. Babanin Received 18 April 2009 revised 10 November 2009 accepted 20 November 2009 published 27 April 2010 Breaking probabilities and breaking wave height distributions BWHDs in deep intermediate and shallow water depth are compared and a generic par 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 1 Parameterization of Drop Effective Radius for Drizzling Marine Stratus in Global Circulation Models Z. N. Kogan and Y. L. Kogan Cooperative Institute for Mesoscale Meteorological Studies Universi Scott Bachman. With Baylor Fox-Kemper. NSF OCE 0825614. Outline. Motivation. Math and Extant Parameterizations. The models in the suite. Results: . Eady. Conclusion and Future Tasks. Figure courtesy of Baylor Fox-Kemper. The Gent - McWilliams eddies in climate models Peter Gent National Center for Atmospheric Research Aghulas Retroflection How are eddy effects to be parameterized in 1 o model? McDougall and Church, 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. Intuitively, a singularity is a continuous subspace of the parameter space, all of whose elements correspond to the same rotation – thusmovement within the subspace produces no change in rotatio 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. 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. &. 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. Scott Bachman. With Baylor Fox-Kemper. NSF OCE 0825614. Outline. Motivation. Math and Extant Parameterizations. The models in the suite. Results: . Eady. Conclusion and Future Tasks. Figure courtesy of Baylor Fox-Kemper. 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. This lecture is designed for students who have some background in cumulus parameterization.. Cumulus . parameterization: . Kain-Fritsch scheme and other mass-flux schemes. The cumulus parameterization problem.