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
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. 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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15 citations as recorded by crossref.
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- Evaluating modelled winds over an urban area using ground‐based Doppler lidar observations M. Filioglou et al. 10.1002/met.2052
- Assessment of Probabilistic Wind Forecasts at 100 m Above Ground Level Using Doppler Lidar and Weather Radar Wind Profiles K. Hämäläinen et al. 10.1175/MWR-D-19-0184.1
- 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
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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
- Looking for an Offshore Low-Level Jet Champion among Recent Reanalyses: A Tight Race over the Baltic Sea C. Hallgren et al. 10.3390/en13143670
- Aerosol particle formation in the upper residual layer J. Lampilahti et al. 10.5194/acp-21-7901-2021
- 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
- Carrier-to-Noise-Threshold Filtering on Off-Shore Wind Lidar Measurements S. Gryning & R. Floors 10.3390/s19030592
14 citations as recorded by crossref.
- Aerosol particle characteristics measured in the United Arab Emirates and their response to mixing in the boundary layer J. Kesti et al. 10.5194/acp-22-481-2022
- Evaluation of convective boundary layer height estimates using radars operating at different frequency bands A. Franck et al. 10.5194/amt-14-7341-2021
- Evaluating modelled winds over an urban area using ground‐based Doppler lidar observations M. Filioglou et al. 10.1002/met.2052
- Assessment of Probabilistic Wind Forecasts at 100 m Above Ground Level Using Doppler Lidar and Weather Radar Wind Profiles K. Hämäläinen et al. 10.1175/MWR-D-19-0184.1
- 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
- The smoother the better? A comparison of six post-processing methods to improve short-term offshore wind power forecasts in the Baltic Sea C. Hallgren et al. 10.5194/wes-6-1205-2021
- 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
- Looking for an Offshore Low-Level Jet Champion among Recent Reanalyses: A Tight Race over the Baltic Sea C. Hallgren et al. 10.3390/en13143670
- Aerosol particle formation in the upper residual layer J. Lampilahti et al. 10.5194/acp-21-7901-2021
- 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
1 citations as recorded by crossref.
Latest update: 31 Mar 2023
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...
