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Adaptive estimation of the stable-boundary-layer height using combined lidar and microwave radiometer observations

Author
Saeed, U.; Rocadenbosch, F.; Crewell, S.
Type of activity
Journal article
Journal
IEEE transactions on geoscience and remote sensing
Date of publication
2016-09
Volume
54
Number
12
First page
6895
Last page
6906
DOI
https://doi.org/10.1109/TGRS.2016.2586298 Open in new window
Repository
http://hdl.handle.net/2117/91075 Open in new window
URL
http://ieeexplore.ieee.org/document/7568984/ Open in new window
Abstract
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 ...
Citation
Saeed, U., Rocadenbosch, F., Crewell, S. Adaptive estimation of the stable-boundary-layer height using combined lidar and microwave radiometer observations. "IEEE transactions on geoscience and remote sensing", 2016, vol. 54, núm. 12, p. 6895-6906.
Keywords
Adaptive Kalman filtering, Laser radar, Microwave radiometry, Remote sensing, Signal processing
Group of research
RSLAB - Remote Sensing Lab

Participants