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Short time augmented extended Kalman filter for soil analysis: a feasibility study

Carrassi, A., Hamdi, R., Termonia, P. and Vannitsem, S. (2012) Short time augmented extended Kalman filter for soil analysis: a feasibility study. Atmospheric Science Letters, 13 (4). pp. 268-274. ISSN 1530-261X

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To link to this item DOI: 10.1002/asl.394

Abstract/Summary

This paper presents a soil analysis scheme based on an extended Kalman filter (EKF), the short time augmented extended Kalman filter (STAEKF), where the model parameters are estimated along with the system state. We use an off‐line version of the interaction soil‐biosphere‐atmosphere model for the assimilation of screen‐level temperature and relative humidity. The leaf area index, the albedo, and the minimum stomatal resistance are estimated with the STAEKF. Results show that the STAEKF gives encouraging results and indicate the benefit of the simultaneous estimation of the state and parameters in soil data assimilation.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:89697
Publisher:John Wiley & Sons

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