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INVERSE MODEL ESTIMATION AND EVALUATION OF SEASONAL NH 3 EMISSIONS
Citation:
GILLILAND, A. INVERSE MODEL ESTIMATION AND EVALUATION OF SEASONAL NH 3 EMISSIONS. Presented at North Carolina State University's Marine, Earth and Atmospheric Sciences Department, Research Triangle Park, NC, April 18, 2005.
Impact/Purpose:
The objective of this task is to thoroughly characterize the performance of the emissions, meteorological and chemical/transport modeling components of the Models-3 system, with an emphasis on the chemical/transport model, CMAQ. Emissions-based models are composed of highly complex scientific hypotheses concerning natural processes that can be evaluated through comparison with observations, but not truly validated. Static and Dynamic Operational, Diagnostic, and ultimately Probablistic evaluation methods are needed to both establish credibility and build confidence within the client and scientific community in the simulations results for policy and scientific applications. The characterization of the performance of Models-3/CMAQ is also a tool for the model developers to identify aspects of the modeling system that require further improvement.
Description:
The presentation topic is inverse modeling for estimate and evaluation of emissions. The case study presented is the need for seasonal estimates of NH3 emissions for air quality modeling. The inverse modeling application approach is first described, and then the NH3 case study is discussed.