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Títol:
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Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter
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Autor/a:
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Saeed, Umar; Rocadenbosch Burillo, Francisco; Crewell, Susanne
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Altres autors:
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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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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. |
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Abstract:
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Peer Reviewed |
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Matèries:
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
-Kalman filtering
-Stable boundary layer
-Lidar
-Temporal variance
-Kalman filter
-Kalman, Filtratge de |
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Drets:
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Tipus de document:
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Article - Versió publicada
Objecte de conferència |
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Publicat per:
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Institute of Electrical and Electronics Engineers (IEEE)
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Compartir:
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