Contribution
Error estimation and adaptive chemical transport modeling
Braack, Malte; Schlünzen, K. Heinke; Taschenberger, Nico; Uphoff, Malte
Meteorologische Zeitschrift Vol. 23 No. 4 (2014), p. 341 - 348
15 références bibliographiques
publié: Sep 26, 2014
publication en ligne: Jul 11, 2014
manuscrit accepté: May 14, 2014
revision du manuscrit reçu: Mar 31, 2014
manuscrit reçu: Dec 20, 2013
DOI: 10.1127/0941-2948/2014/0572
Open Access (article peut être télechargé gratuitement)
Abstract
We present a numerical method to use several chemical transport models of increasing accuracy and complexity in an adaptive way. In largest parts of the domain, a simplified chemical model may be used, whereas in certain regions a more complex model is needed for accuracy reasons. A mathematically derived error estimator measures the modeling error and provides information where to use more accurate models. The error is measured in terms of output functionals. Therefore, one has to consider adjoint problems which carry sensitivity information. This concept is demonstrated by means of ozone formation and pollution emission.
Mots-clefs
chemistry transport modeling • adaptivity • pollution formation