@inproceedings{ab2d8a1e971a4c81b3e5a400d7142a72,
title = "Sequential variational data assimilation algorithms at the splitting stages of a numerical atmospheric chemistry model",
abstract = "A variational data assimilation algorithm is studied numerically. In situ concentration measurement data are assimilated into transport and transformation model of atmospheric chemistry. The algorithm is based on decomposition and splitting methods with solution of variational data assimilation problems for separate splitting stages. A direct algorithm without iterations is used for the linear transport stage. An iterative gradient algorithm is applied for data assimilation at the non-linear chemical transformation stage. In a realistic numerical experiment, the contributions of data assimilation algorithms for the different splitting stages are compared.",
keywords = "Advection-diffusion-reaction models, Splitting, Variational data assimilation",
author = "Alexey Penenko and Vladimir Penenko and Elena Tsvetova and Anastasia Grishina and Pavel Antokhin",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-73441-5_59",
language = "English",
isbn = "9783319734408",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag GmbH and Co. KG",
pages = "536--543",
editor = "Lirkov and S Margenov",
booktitle = "Large-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers",
address = "Germany",
note = "11th International Conference on Large-Scale Scientific Computations, LSSC 2017 ; Conference date: 11-09-2017 Through 15-09-2017",
}