Inverse modeling of emissions in high resolution

0356367 - ÚI 2011 US eng A - Abstract
Resler, Jaroslav - Eben, Kryštof - Juruš, Pavel - Belda, Michal
Inverse modeling of emissions in high resolution.
International Workshop on Air Quality Forecasting Research. Environment Canada, 2010.
[IWAQFR 2010. International Workshop on Air Quality Forecasting Research. 16.11.2010-18.11.2010, Quebec]
R&D Projects: GA MŽP SP/1A4/107/07
Grant - others:COST(XE) ES0602
Institutional research plan: CEZ:AV0Z10300504
Keywords : inverse modeling * emission * 4DVar * EMEP
Subject RIV: DG - Athmosphere Sciences, Meteorology
http://www.iwaqfr-2010.ca/presentation_EN.html

In any data assimilation method aimed at inverse modeling of emissions, a natural question is raised on interpretation of the results. If a top-down emission inventory or emission model is changed by the inversion procedure, validation has to be performed in order to make sure that the procedure doesn't correct other errors in the model than those attributable to emissions (i.e. model bias, errors of meteorological inputs etc.). To assess the performance of a 4DVar inversion modeling procedure, we perform an experiment with an emission model based on the rough EMEP inventory (horizontal resolution 50 km). We run an inverse modeling procedure and evaluate the direction of changes in the emission model. We then compare the results with a newer inventory. In this way advantages and limitations of the procedure may be inferred.
Permanent Link: http://hdl.handle.net/11104/0194906