Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Application of Automatic Differentiation for Studying the Sensitivity of Numerical Advection Schemes in Air Quality Models.
Author Hwang, D. ; Byun, D. W. ;
CORP Author MCNC, Research Triangle Park, NC. North Carolina Supercomputing Center. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher 1995
Year Published 1995
Report Number EPA/600/A-95/053;
Stock Number PB95-218905
Additional Subjects Air quality ; Sensitivity ; Computerized simulation ; Advection ; Mathematical models ; Wind velocity ; Fortran ; Environmental transport ; Air flow ; Equations of motion ; Differential equations ; Air pollution ; Comparison ; ADIFOR(Automatic Differentiation in FORtran) ; Brute-force method
Library Call Number Additional Info Location Last
NTIS  PB95-218905 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 09/02/1995
Collation 10p
In any simulation model, knowing the sensitivity of the system to the model parameters is of utmost importance. As part of an effort to build a multiscale air quality modeling system for a high performance computing and communication (HPCC) environment, the authors are exploring an automatic differentiation technique, Automatic Differentiation in FORtran (ADIFOR), for studying systematic model sensitivities. Instead of coding derivatives manually, one can apply ADIFOR without having to have an intimate knowledge of the algorithms implemented in a model. Also, most of the time, ADIFOR generates derivative code that follows the optimization schemes in the model. In this paper, we summarize the results from applying two sensitivity methods, ADIFOR and the brute-force method, to various advection schemes in air quality models.