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Título:
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Adaptive estimation of the stable-boundary-layer height using combined lidar and microwave radiometer observations
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Autor/a:
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Saeed, Umar; Rocadenbosch Burillo, Francisco; Crewell, Susanne
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
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Abstract:
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A 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. |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
-Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida
-Remote sensing
-Earth sciences
-Laser radar
-Microwave radiometry
-Adaptive Kalman filtering
-Remote sensing
-Signal processing
-Teledetecció
-Ciències de la terra |
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Derechos:
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Tipo de documento:
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Artículo - Versión presentada
Artículo |
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Editor:
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Institute of Electrical and Electronics Engineers (IEEE)
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