On the tuning of atmospheric inverse methods: comparisons with the European Tracer Experiment (ETEX) and Chernobyl datasets using the atmospheric transport model FLEXPART

Ondřej Tichý, Lukáš Ulrych, Nikolaos Evangeliou, Andreas Stohl

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Estimation of the temporal profile of an atmospheric release, also called the source term, is an important problem in environmental sciences. The problem can be formalized as a linear inverse problem wherein the unknown source term is optimized to minimize the difference between the measurements and the corresponding model predictions. The problem is typically ill-posed due to low sensor coverage of a release and due to uncertainties, e.g., in measurements or atmospheric transport modeling; hence, all state-of-the-art methods are based on some form of regularization of the problem using additional information. We consider two kinds of additional information: the prior source term, also known as the first guess, and regularization parameters for the shape of the source term. While the first guess is based on information independent of the measurements, such as the physics of the potential release or previous estimations, the regularization parameters are often selected by the designers of the optimization procedure. In this paper, we provide a sensitivity study of two inverse methodologies on the choice of the prior source term and regularization parameters of the methods. The sensitivity is studied in two cases: data from the European Tracer Experiment (ETEX) using FLEXPART v8.1 and the caesium-134 and caesium-137 dataset from the Chernobyl accident using FLEXPART v10.3.

Original languageEnglish
Pages (from-to)5917–5934
Number of pages18
JournalGeoscientific Model Development
Volume13
Issue number12
DOIs
Publication statusPublished - 1 Dec 2020

Austrian Fields of Science 2012

  • 105204 Climatology
  • 105206 Meteorology

Keywords

  • ACCIDENT
  • ASSIMILATION
  • DEPOSITION
  • EMISSIONS
  • FUKUSHIMA
  • PARTICLE DISPERSION MODEL
  • RECONSTRUCTION
  • SOURCE-TERM
  • UNCERTAINTIES
  • VERIFICATION

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