'Adjoint' diaporamas de présentation

A Discrete Adjoint-Based Approach for Optimization Problems on 3D Unstructured Meshes

A Discrete Adjoint-Based Approach for Optimization Problems on 3D Unstructured Meshes. Dimitri J. Mavriplis Department of Mechanical Engineering University of Wyoming Laramie, WY. Motivation. Adjoint techniques widely used for design optimization

719 views • 42 slides

Dr. Ronald M. Errico Goddard Earth Sciences and Technology Center (UMBC)

Introduction to Adjoint Models. Dr. Ronald M. Errico Goddard Earth Sciences and Technology Center (UMBC) Global Modeling and Assimilation Office (NASA). Outline. 1. Sensitivity analysis 2. Examples of adjoint-derived sensitivity 3. Development of adjoint model software

477 views • 36 slides

2x2 Matrices, Determinants and Inverses

2x2 Matrices, Determinants and Inverses. Evaluating Determinants of 2x2 Matrices Using Inverse Matrices to Solve Equations. Evaluating Determinants of 2x2 Matrices.

1.11k views • 35 slides

Slides are collected from: Zhiquan Liu, Thomas Auligne, Xin Zhang, Hui Shao,

Satellite Data Assimilation for meso-scale models Hans Huang National Center for Atmospheric Research (NCAR is sponsored by the National Science Foundation). Slides are collected from: Zhiquan Liu, Thomas Auligne, Xin Zhang, Hui Shao,

584 views • 33 slides

Fast Opt

A global Carbon Cycle Data Assimilation System (CCDAS) to infer atmosphere-biosphere CO 2 exchanges and their uncertainties. Marko Scholze 1 , Peter Rayner 2 , Wolfgang Knorr 1 , Thomas Kaminski 3 , Ralf Giering 3 & Heinrich Widmann 1 TransCom Tsukuba, 2004. 1. 2. 3. Fast Opt. Overview.

466 views • 31 slides

Summary of modification surface data assimilation code

Summary of modification surface data assimilation code. Chin-Hsiao Chiang Central Weather Bureau , Taiwan. Acknowledgement : Yong-Run, Guo Chien-Han, Tseng. Which codes need to modify or develop ?. da_sfc_wtq.inc da_transform_xtowtq.inc

395 views • 30 slides

Adjoint sector of MQM at finite N

Tamkang University 2005/10/28. Adjoint sector of MQM at finite N. I. Kostov (Saclay) + Y. Matsuo (U. Tokyo). Introduction. c=1 Quantum Gravity. Liouville Theory. Matrix Quantum Mechanics. ?: Cosmological const. up-side down potential. singlet sector = free fermion. short string.

416 views • 29 slides

Hernan G. Arango (IMCS, Rutgers University) Emanuele Di Lorenzo (Georgia Institute of Technology)

Prediction of Ocean Circulation in the Gulf of Mexico and Caribbean Sea An application of the ROMS/TOMS Data Assimilation Models. Hernan G. Arango (IMCS, Rutgers University) Emanuele Di Lorenzo (Georgia Institute of Technology) Arthur J. Miller, Bruce D. Cornuelle

383 views • 27 slides

Interpretation of station data with an adjoint Model

Interpretation of station data with an adjoint Model. Maarten Krol (IMAU) Peter Bergamaschi (ISPRA) Jan Fokke Meierink, Henk Eskes (KNMI) Sander Houweling (SRON/IMAU). What is TM5?. Global model with zoom option Two-way nesting Mass-conserving / Positive

392 views • 27 slides

Hernan G. Arango (IMCS, Rutgers University) Emanuele Di Lorenzo (Georgia Institute of Technology)

Prediction of Ocean Circulation in the Gulf of Mexico and Caribbean Sea An application of the ROMS/TOMS Data Assimilation Models. Hernan G. Arango (IMCS, Rutgers University) Emanuele Di Lorenzo (Georgia Institute of Technology) Arthur J. Miller, Bruce D. Cornuelle

438 views • 27 slides

2005 ROMS/TOMS Workshop Scripps Institution of Oceanography La Jolla, CA, October 25, 2005

How Does One Build an Adjoint for ROMS/TOMS?. Hernan G. Arango IMCS, Rutgers. Bruce D. Cornuelle SIO, UCSD. Emanuele Di Lorenzo Georgia Tech. Arthur J. Miller SIO, UCSD. Andrew M. Moore PAOS, U. Colorado. 2005 ROMS/TOMS Workshop Scripps Institution of Oceanography

401 views • 26 slides

Lijun Liu Seismo Lab, Caltech Dec. 18, 2006

324 views • 22 slides

GOAL To build an efficient OBSERVATIONAL OPERATOR with the following features

345 views • 19 slides

Kumaresh Singh Department of Computer Science, Virginia Tech

Assimilating Tropospheric Emission Spectrometer profiles into GEOS-Chem. Kumaresh Singh Department of Computer Science, Virginia Tech Paul Eller, Adrian Sandu, Mohamed Jardak , Kevin Bowmann, Daven Henze, Dylan Jones, Meemong Lee. Motivation.

382 views • 18 slides

Quantum Particle Behavior in Classically Singular Space-times

281 views • 17 slides

Kumaresh Singh Department of Computer Science, Virginia Tech

Assimilating Tropospheric Emission Spectrometer profiles in GEOS-Chem. Kumaresh Singh Department of Computer Science, Virginia Tech Mohammed Jardak, Paul Eller, Adrian Sandu, Daven Henze, Kevin Bowmann, Dylan Jones, Changsub Shim. Motivation.

308 views • 17 slides

Monika Kopacz 1 , Daniel J. Jacob 1 , Daven Henze 2 ,

Comparison of adjoint and analytical approaches for solving atmospheric chemistry inverse problems. Monika Kopacz 1 , Daniel J. Jacob 1 , Daven Henze 2 , Colette Heald 3 , David G. Streets 4 , Qiang Zhang 5 October 11, 2006.

324 views • 17 slides

Application of adjoints in ocean modeling Patrick Heimbach MIT, Cambridge (MA)

Application of adjoints in ocean modeling Patrick Heimbach MIT, Cambridge (MA). Ocean state estimation - combining data and model The ECCO approach: solving an optimal control problem (The ECCO group) Adjoint sensitivity studies

271 views • 17 slides

AdS/CFT: Introduction

AdS/CFT: Introduction. Jorge Casalderrey-Solana LBNL. The AdS/CFT Correspondence. 4 dimensional N =4 Super Symmetric SU(N c ) Yang-Mills theory (N c ? ?) is dual to Type II B Super String theory in an AdS ?S 5 background. J. Maldacena 1998. N =4 Super Symmetric Yang-Mills.

452 views • 16 slides

RESULTS: CO constraints from an adjoint inversion

Fall AGU 2006 Abstract # A31B-0875. A comparison of adjoint and analytical Bayesian inversion methods for constraining Asian sources of CO using satellite (MOPITT) measurements of CO columns

80 views • 1 slides