Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter
Visualitza/Obre
UM_IGARSS_2_submitted.pdf (1,171Mb) (Accés restringit)
Tipus de documentComunicació de congrés
Data publicació2015
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés restringit per política de l'editorial
Abstract
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.
CitacióSaeed, 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.
ISBN978-1-4799-7929-5
Versió de l'editorhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7326598
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
UM_IGARSS_2_submitted.pdf![]() | 1,171Mb | Accés restringit |