A computationally efficient Kalman smoother for the evaluation of the \(\text{CH}_4\) budget in Europe

DOI10.1016/S0307-904X(98)10071-9zbMath0953.93070MaRDI QIDQ1303245

V. Pereyra

Publication date: 1 February 2001

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

zbMATH Keywords

air pollutionKalman filteringdata assimilation\(\text{CH}_4\) budget in the atmosphere of Europe

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Data smoothing in stochastic control theory (93E14)

Related Items (1)

Design of a fixed-interval smoother using covariance information based on the innovations approach in linear discrete-time stochastic systems

Cites Work

• Two-dimensional shallow water flow identification
• Stochastic models, estimation, and control. Vol. 1
• Factorization methods for discrete sequential estimation
• Estimation of urban air pollution
• Data assimilation in transport models
• Stochastic processes and filtering theory
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