Articles | Volume 12, issue 2
https://doi.org/10.5194/amt-12-839-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-839-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Feb 2019
Research article |
| 07 Feb 2019
| 07 Feb 2019
A novel post-processing algorithm for Halo Doppler lidars
Ville Vakkari
CORRESPONDING AUTHOR
Finnish Meteorological Institute, Helsinki, 00101, Finland
Unit for Environmental Sciences and Management, North-West University,
Potchefstroom, 2520, South Africa
Antti J. Manninen
Institute for Atmospheric and Earth System Research, University of
Helsinki, Helsinki, 00014, Finland
Ewan J. O'Connor
Finnish Meteorological Institute, Helsinki, 00101, Finland
Department of Meteorology, University of Reading, Reading, UK
Jan H. Schween
Institute for Geophysics and Meteorology, University of Cologne,
Cologne, Germany
Pieter G. van Zyl
Unit for Environmental Sciences and Management, North-West University,
Potchefstroom, 2520, South Africa
Eleni Marinou
IAASARS, National Observatory of Athens, Athens, 15236, Greece
Institute of Atmospheric Physics, German Aerospace Center (DLR), 82234 Oberpfaffenhofen, Germany
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- Towards the profiling of the atmospheric boundary layer at European scale—introducing the COST Action PROBE D. Cimini et al. 10.1007/s42865-020-00003-8
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework S. Letizia et al. 10.5194/amt-14-2065-2021
- Winter atmospheric boundary layer observations over sea ice in the coastal zone of the Bay of Bothnia (Baltic Sea) M. Wenta et al. 10.5194/essd-13-33-2021
- Wind and Turbulence Statistics in the Urban Boundary Layer over a Mountain–Valley System in Granada, Spain P. Ortiz-Amezcua et al. 10.3390/rs14102321
- Ground-Based Measurements of Wind and Turbulence at Bucharest–Măgurele: First Results R. Pîrloagă et al. 10.3390/rs15061514
- PBL Height Retrievals at a Coastal Site Using Multi-Instrument Profiling Methods I. Tsikoudi et al. 10.3390/rs14164057
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- Inversion probability enhancement of all-fiber CDWL by noise modeling and robust fitting T. Wei et al. 10.1364/OE.401054
- Interactions Between the Nocturnal Low-Level Jets and the Urban Boundary Layer: A Case Study over London A. Tsiringakis et al. 10.1007/s10546-021-00681-7
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- Investigation of non-equilibrium turbulence decay in the atmospheric boundary layer using Doppler lidar measurements M. Karasewicz et al. 10.5194/acp-24-13231-2024
- Aerosol particle formation in the upper residual layer J. Lampilahti et al. 10.5194/acp-21-7901-2021
- Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data C. Hallgren et al. 10.5194/wes-9-821-2024
- Aerosol particle depolarization ratio at 1565 nm measured with a Halo Doppler lidar V. Vakkari et al. 10.5194/acp-21-5807-2021
- Lidar depolarization ratio of atmospheric pollen at multiple wavelengths S. Bohlmann et al. 10.5194/acp-21-7083-2021
Latest update: 14 Dec 2024
Short summary
Commercially available Doppler lidars have been proven to be efficient tools for studying winds and turbulence in the planetary boundary layer. However, in many cases low signal is still a limiting factor for utilising measurements by these devices. Here, we present a novel post-processing algorithm for Halo Stream Line Doppler lidars, which enables an improvement in sensitivity of a factor of 5 or more.
Commercially available Doppler lidars have been proven to be efficient tools for studying winds...
