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Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter
Saeed, Umar; Rocadenbosch Burillo, Francisco; Crewell, Susanne
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
The nocturnal stable boundary-layer height (SBLH) is estimated from the backscatter lidar data by using an adaptive-filtering approach based on an Extended Kalman Filter (EKF). Height-resolved temporal variance of the lidar data is used as the observables for the processing along with the modelling of minimum-variance regions. The filter is initialized by SBLH estimate from a radio-sonde. The method is applied to the Vaisala CT25K ceilometer data collected during the HD(CP)2 Observational Prototype Experiment (HOPE) campaign at Julich, Germany. Results are compared with SBLH ¨ estimates from a collocated microwave radiometer (MWR) and a good degree of agreement is observed.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
Kalman filtering
Stable boundary layer
Temporal variance
Kalman filter
Kalman, Filtratge de
Institute of Electrical and Electronics Engineers (IEEE)

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