A computationally efficient Kalman smoother for the evaluation of the CH4 budget in Europe |
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| Institution: | 1. Data Assimilation and Satellite Meteorology Division, Atmospheric Environment Service, 4905 Dufferin Street, Downsview, Ontario, M3H 5T4, Canada;2. Faculty of Technical Mathematics and Informatics, Delft University of Technology, Mekelweg 4, P.O. Box 5031, 2600 GA Delft, The Netherlands;3. National Institute of Public Health and Environmental Protection, P.O. Box 1, 3720 BA Bilthoven, The Netherlands |
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| Abstract: | Two data assimilation methods of the Kalman filtering approach are applied to the evaluation of the methane (CH4) distribution in the atmosphere of Europe. The long term historical observation data of CH4 concentration are integrated with the dynamical Eulerian dispersion model (EUROS). In each proposed method a specific algorithm is employed to avoid the heavy computation burden and huge storage requirement of the conventional Kalman filter for large scale systems. Moreover, a smoother algorithm is developed to identify the emission input. The feasibility of proposed data assimilation methods is verified by the application results. |
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