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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F20%3A00535291" target="_blank" >RIV/67985556:_____/20:00535291 - isvavai.cz</a>

Result on the web

<a href="https://gmd.copernicus.org/articles/13/5917/2020/" target="_blank" >https://gmd.copernicus.org/articles/13/5917/2020/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/gmd-13-5917-2020" target="_blank" >10.5194/gmd-13-5917-2020</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10103 - Statistics and probability

Project

<a href="/en/project/GA20-27939S" target="_blank" >GA20-27939S: Bayesian methods for non-linear blind inverse problems</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Geoscientific Model Development

ISSN

1991-959X

e-ISSN

—

Volume of the periodical

13

Issue of the periodical within the volume

12

Country of publishing house

DE - GERMANY

Number of pages

18

Pages from-to

5917-5934

UT code for WoS article

000595592200001

EID of the result in the Scopus database

2-s2.0-85097445225