Numerical study of variational data assimilation algorithms based on decomposition methods in atmospheric chemistry models

[摘要] The performance of a variational data assimilation algorithm for a transport and transformation model of atmospheric chemical composition is studied numerically in the case where the emission inventories are missing while there are additional in situ indirect concentration measurements. The algorithm is based on decomposition and splitting methods with a direct solution of the data assimilation problems at the splitting stages. This design allows avoiding iterative processes and working in real-time. In numerical experiments we study the sensitivity of data assimilation to measurement data quantity and quality.

[发布机构] Institute of Computational Mathematics and Mathematical Geophysics, SB RAS, ICM and MG SB RAS, prospect Akademika Lavrentyeva 6, Novosibirsk; 630090, Russia^1;Novosibirsk State University, NSU, Pirogova Str. 2, Novosibirsk; 630090, Russia^2;V.E. Zuev Institute of Atmospheric Optics, SB RAS, IAO SB RAS, Academician Zuev square 1, Tomsk; 634055, Russia^3

[效力级别] 计算机科学

[关键词] Atmospheric chemistry model;Chemical compositions;Concentration Measurement;Decomposition methods;Emission inventories;Numerical experiments;Transport and transformation;Variational data assimilation