|
Title:
|
Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter
|
|
Author:
|
Saeed, Umar; Rocadenbosch Burillo, Francisco; Crewell, Susanne
|
|
Other authors:
|
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
|
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. |
|
Abstract:
|
Peer Reviewed |
|
Subject(s):
|
-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 |
|
Rights:
|
|
|
Document type:
|
Article - Published version
Conference Object |
|
Published by:
|
Institute of Electrical and Electronics Engineers (IEEE)
|
|
Share:
|
|
