Braack, Malte, Schluenzen, K. Heinke, Taschenberger, Nico and Uphoff, Malte (2014) Error estimation and adaptive chemical transport modeling. Meteorologische Zeitschrift, 23 (4). pp. 341-348. DOI 10.1127/0941-2948/2014/0572.

Full text not available from this repository.

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.

Document Type:	Article
Additional Information:	Times Cited: 1 SI 0 1
Keywords:	chemistry transport modeling • adaptivity • pollution formation
Research affiliation:	OceanRep > The Future Ocean - Cluster of Excellence OceanRep > The Future Ocean - Cluster of Excellence > FO-R11 Kiel University
Refereed:	Yes
Open Access Journal?:	No
Publisher:	American Society for Microbiology
Projects:	Future Ocean
Date Deposited:	30 Mar 2015 12:01
Last Modified:	23 Sep 2019 18:46
URI:	https://oceanrep.geomar.de/id/eprint/27215

Actions (login required)

View Item