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Title:
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Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter
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Author:
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Saeed, Umar; Rocadenbosch Burillo, Francisco; Crewell, Susanne
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Other authors:
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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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Subject(s):
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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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Rights:
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Document type:
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info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject |
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Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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