PPT-Variational Local Analysis and Prediction System

Evaluating its Analysis and Forecast Hongli Jiang Yuanfu Xie Steve Albers Zoltan Toth NOAA Earth System Research Laboratory Global System Division Forecast Application Branch What is . 1 A New Beginning 113 112 De nition of Bar Member 113 113 Variational Formulation 114 1131 The Total Potential Energy Functional 114 1132 Admissible Variations 116 1133 The Minimum Total Potential Energy Principle 116 1134 TPE Discretization 117 . Radar Data Assimilation for 0-12 hour severe weather forecasting. Juanzhen. Sun . National Center for Atmospheric Research. Boulder, Colorado. sunj@ucar.edu. Outline. . Background. - . Motivation . data assimilation. and forecast error statistics. Ross Bannister, 11. th. July 2011. University of Reading, r.n.bannister@reading.ac.uk. “All models are wrong …” . (George Box). “All models are wrong and all observations are inaccurate”. 1. , Olaf Konrad. 2. , Heinz-Otto Peitgen. 1. Fast and Smooth Interactive Segmentation of Medical Images Using Variational Interpolation. 1. . Fraunhofer. MEVIS, Germany. 2. . MeVis. Medical Solutions, Germany. . Autoencoders. Theory and Extensions. Xiao Yang. Deep learning Journal Club. March 29. Variational. Inference. Use a simple distribution to approximate a complex distribution. Variational. parameter:. Steve Albers, Yuanfu Xie, Hongli Jiang. , Dan Birkenheuer, Isidora Jankov, and . Zoltan Toth. ESRL/GSD. WRF Workshop . June . 26. th. 2013. Updated . 6/2. 5. /2013 1. 81. 0UTC. . Presentation Outline. Presentation to AMS Board on Enterprise Communications. September 2012. ESPC Overview. Introduction. ESPC is an . interagency collaboration . between DoD (Navy, Air Force), NOAA, DoE, NASA, and NSF for coordination of research to operations for an earth system analysis and extended range prediction capability. . Daniel P. Eleuterio, . Office of Naval Research. Jessie Carman, NOAA Office of Ocean and Atmosphere Research. Fred . Toepfer. , NOAA National Weather Service. Dave . McCarren. , Naval Meteorology and Oceanography Command. Inference. Dave Moore, UC Berkeley. Advances in Approximate Bayesian Inference, NIPS 2016. Parameter Symmetries. . Model. Symmetry. Matrix factorization. Orthogonal. transforms. Variational. . a. 590AI. Some content from . Lada. . Adamic. Vocabulary Lesson. Actor. Relational Tie. parentOf. supervisorOf. reallyHates. ( /-). …. Dyad. Person. Group. Event. …. Relation. : collection of ties of a specific type (every . -- Evaluating its Analysis . and Forecast. Hongli Jiang, Yuanfu Xie, Steve Albers, Zoltan Toth. NOAA Earth System Research Laboratory Global System Division . Forecast Application Branch. . What is . Daniel Paul Tyndall. 4 March 2010. Department of Atmospheric Sciences. University of Utah. Salt Lake City, UT. Outline. Introduction. Literature Review. 2DVar/3DVar Analysis Methodologies. Strong and Weak Constraints. Section 1: Introduction and biological databases.. Section 2: Sequence alignment.. Section 3: Gene and promoter prediction.. Section 4: Molecular phylogenetics.. Section 5: Structural Bioinformatics. Henning Lange, Mario . Bergés. , Zico Kolter. Variational Filtering. Statistical Inference. (Expectation Maximization, Variational Inference). Deep Learning. Dynamical Systems. Variational Filtering.