Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter
Document typeConference lecture
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
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.
CitationSaeed, 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.