Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.author	Saeed, Umar
dc.contributor.author	Rocadenbosch Burillo, Francisco
dc.contributor.author	Crewell, Susanne
dc.date	2015
dc.identifier.citation	Saeed, U., Rocadenbosch, F., Crewell, S. Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter. A: IEEE International Geoscience and Remote Sensing Symposium. "2015 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 26–31, 2015: Milan, Italy". Milan: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 3591-3594.
dc.identifier.citation	978-1-4799-7929-5
dc.identifier.citation	10.1109/IGARSS.2015.7326598
dc.identifier.uri	http://hdl.handle.net/2117/84322
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7326598
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subject	Kalman filtering
dc.subject	Stable boundary layer
dc.subject	Lidar
dc.subject	Temporal variance
dc.subject	Kalman filter
dc.subject	Kalman, Filtratge de
dc.title	Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	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.
dc.description.abstract	Peer Reviewed

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