Comparing data obtained from ground-based measurements of the total contents of O3, HNO3,HCl, and NO2 and from their numerical simulation
- Authors: Virolainen Y.A.1, Timofeyev Y.M.1, Polyakov A.V.1, Ionov D.V.1, Kirner O.2, Poberovskii A.V.1, Imhasin H.K.1
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Affiliations:
- St. Petersburg State University
- Karlsruhe Institute of Technology, Steinbuch Center for Computing
- Issue: Vol 52, No 1 (2016)
- Pages: 57-65
- Section: Article
- URL: https://journals.rcsi.science/0001-4338/article/view/148408
- DOI: https://doi.org/10.1134/S0001433815060146
- ID: 148408
Cite item
Abstract
Chemistry climate models of the gas composition of the atmosphere make it possible to simulate both space and time variations in atmospheric trace-gas components (TGCs) and predict their changes. Both verification and improvement of such models on the basis of a comparison with experimental data are of great importance. Data obtained from the 2009–2012 ground-based spectrometric measurements of the total contents (TCs) of a number of TGCs (ozone, HNO3, HCl, and NO2) in the atmosphere over the St. Petersburg region (Petergof station, St. Petersburg State University) have been compared to analogous EMAC model data. Both daily and monthly means of their TCs for this period have been analyzed in detail. The seasonal dependences of the TCs of the gases under study are shown to be adequately reproduced by the EMAC model. At the same time, a number of disagreements (including systematic ones) have been revealed between model and measurement data. Thus, for example, the EMAC model underestimates the TCs of NO2, HCl, and HNO3, when compared to measurement data, on average, by 14, 22, and 35%, respectively. However, the TC of ozone is overestimated by the EMAC model (on average, by 12%) when compared to measurement data. In order to reveal the reasons for such disagreements between simulated and measured data on the TCs of TGCs, it is necessary to continue studies on comparisons of the contents of TGCs in different atmospheric layers.
About the authors
Ya. A. Virolainen
St. Petersburg State University
Author for correspondence.
Email: yana.virolainen@spbu.ru
Russian Federation, 7/9 Universitetskaya nab., St. Petersburg, 199034
Yu. M. Timofeyev
St. Petersburg State University
Email: yana.virolainen@spbu.ru
Russian Federation, 7/9 Universitetskaya nab., St. Petersburg, 199034
A. V. Polyakov
St. Petersburg State University
Email: yana.virolainen@spbu.ru
Russian Federation, 7/9 Universitetskaya nab., St. Petersburg, 199034
D. V. Ionov
St. Petersburg State University
Email: yana.virolainen@spbu.ru
Russian Federation, 7/9 Universitetskaya nab., St. Petersburg, 199034
O. Kirner
Karlsruhe Institute of Technology, Steinbuch Center for Computing
Email: yana.virolainen@spbu.ru
Germany, Hermann-von-Helmholtz Platz 1, Eggenstein-Leopoldshafen, 76344
A. V. Poberovskii
St. Petersburg State University
Email: yana.virolainen@spbu.ru
Russian Federation, 7/9 Universitetskaya nab., St. Petersburg, 199034
H. Kh. Imhasin
St. Petersburg State University
Email: yana.virolainen@spbu.ru
Russian Federation, 7/9 Universitetskaya nab., St. Petersburg, 199034