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Article information
2005 , Volume 10, Special issue, p.132-137
Kilanova N.V., Klimova E.G.
Estimation of methane concentration fields over the Northern Hemisphere according to observations and a model of advection of passive pollution
A passive pollution data assimilation algorithm based on the Kalman filter theory is investigated The concentration fields forecast is given with the help of semi-Lagrangian model of passive pollution transport and advection for the Northern Hemisphere. Kalman filter algorithm requires calculation of very high order matrixes, which currently makes its practical realization impossible. Therefore, an approach, which relays on the simplified model for calculation of the forecast error covariance matrixes, is considered. The algorithm for estimation of the methane emissions based on the assimilation procedure is proposed.
[full text]
Keywords: Data assimilation, data of observations, estimation theory, Kalman filter, semi-Lagrangian model of a passive pollution advection
Author(s):
Kilanova Natalya Vladimirovna
PhD.
Position: Research Scientist
Office: Institute of Computational Technologies SB RAS
Address: 630090, Russia, Novosibirsk, 6 Acad. Lavrentjev avenue
Phone Office: (383) 334 91 66
E-mail: kilanova@ict.sbras.ru
Klimova Ekaterina Georgievna
Dr. , Associate Professor
Position: Senior Research Scientist
Office: Federal Research Center for Information and Computational Technologies
Address: 630090, Russia, Novosibirsk, 6 Acad. Lavrentjev avenue
Phone Office: (383) 332 42 57
E-mail: klimova@ict.nsc.ru
SPIN-code: 4533-9357
Bibliography link:
Kilanova N.V., Klimova E.G. Estimation of methane concentration fields over the Northern Hemisphere according to observations and a model of advection of passive pollution // Computational technologies. 2005. V. 10. Special issue. Proceedings of the International Conference and the School of Young Scientists “Computational and informational technologies for environmental sciences” (CITES 2005). Tomsk, 13-23 March 2005. Part 1. P. 132-137
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