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dc.contributor.authorSaeed, Umar
dc.contributor.authorRocadenbosch Burillo, Francisco
dc.contributor.authorCrewell, Susanne
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationSaeed, U., Rocadenbosch, F., Crewell, S. Adaptive estimation of the stable-boundary-layer height using combined lidar and microwave radiometer observations. "IEEE transactions on geoscience and remote sensing", 2016, vol. 54, núm. 12, p. 6895-6906.
dc.description.abstractA synergetic approach for the estimation of stable boundary-layer height (SBLH) using lidar and microwave radiometer (MWR) data is presented. Vertical variance of the backscatter signal from a ceilometer is used as an indicator of the aerosol stratification in the nocturnal stable boundary-layer. This hypothesis is supported by a statistical analysis over one month of observations. Thermodynamic information from the MWR-derived potential temperature is incorporated as coarse estimate of the SBLH. Data from the two instruments is adaptively assimilated by using an extended Kalman filter (EKF). A first test of the algorithm is performed by applying it to collocated Vaisala CT25K ceilometer and Humidity-and-Temperature Profiler (HATPRO) MWR data collected during the HD(CP)2 Observational Prototype Experiment (HOPE) campaign at Julich, Germany. The application of the algorithm to different atmospheric scenarios reveals the superior performance of the EKF compared to a non-linear least-squares estimator especially in non-idealized conditions.
dc.format.extent12 p.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida
dc.subject.lcshRemote sensing
dc.subject.lcshEarth sciences
dc.subject.otherLaser radar
dc.subject.otherMicrowave radiometry
dc.subject.otherAdaptive Kalman filtering
dc.subject.otherRemote sensing
dc.subject.otherSignal processing
dc.titleAdaptive estimation of the stable-boundary-layer height using combined lidar and microwave radiometer observations
dc.subject.lemacCiències de la terra
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorSaeed, U.; Rocadenbosch, F.; Crewell, S.
upcommons.citation.publicationNameIEEE transactions on geoscience and remote sensing

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