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APPLICATION OF AUTOMATIC DIFFERENTIATION FOR STUDYING THE SENSITIVITY OF NUMERICAL ADVECTION SCHEMES IN AIR QUALITY MODELS
Citation:
Hwang, D. AND D.W. Byun. APPLICATION OF AUTOMATIC DIFFERENTIATION FOR STUDYING THE SENSITIVITY OF NUMERICAL ADVECTION SCHEMES IN AIR QUALITY MODELS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/A-95/053.
Description:
In any simulation model, knowing the sensitivity of the system to the model parameters is of utmost importance. s part of an effort to build a multiscale air quality modeling system for a high performance computing and communication (HPCC) environment, we are exploring an automatic differentiation technique, ADIFOR, for studying systematic model sensitivities. nstead of coding derivatives manually, one can apply ADIFOR without having to have an intimate knowledge of the algorithms implemented in a model. lso, most of the time, ADIFOR generates derivative code that follows the optimization schemes in the model. n 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.