Emission sources identification scenario for a three-dimensional atmospheric transport and transformation model

A. V. Penenko; E. V. Rusin; V. V. Penenko

doi:10.1117/12.2690844

17 October 2023 Emission sources identification scenario for a three-dimensional atmospheric transport and transformation model

A. V. Penenko, E. V. Rusin, V. V. Penenko

Author Affiliations +

Proceedings Volume 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 1278068 (2023) https://doi.org/10.1117/12.2690844
Event: XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", 2023, Moscow, Russian Federation

Abstract

Three-dimensional models allow realistic modeling of atmospheric transport and transformation processes, but at the same time require a large amount of a priori data to set model parameters and significant computational resources to solve inverse modeling tasks. Emission sources identification problem is a key inverse modeling task for the air quality studies. In the paper we numerically evaluate in a realistic regional scenario an emission source identification algorithm based on sensitivity operators and adjoint equations solution ensembles for a three-dimensional case and image-type concentration measurements.

Citation Download Citation

A. V. Penenko, E. V. Rusin, and V. V. Penenko "Emission sources identification scenario for a three-dimensional atmospheric transport and transformation model", Proc. SPIE 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1278068 (17 October 2023); https://doi.org/10.1117/12.2690844

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