Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic

In the present study a non-motion-stabilized scanning Doppler lidar was operated on board of RV Polarstern in the Arctic (June 2014) and Antarctic (December 2015–January 2016). This is the first time that such a system measured on an icebreaker in the Antarctic. A method for a motion correction of t...

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Published in:Atmospheric Measurement Techniques
Main Authors: Zentek, Rolf, Kohnemann, Svenja H. E., Heinemann, Günther
Format: Text
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.5194/amt-11-5781-2018
https://amt.copernicus.org/articles/11/5781/2018/
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spelling ftcopernicus:oai:publications.copernicus.org:amt68806 2023-05-15T13:55:28+02:00 Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic Zentek, Rolf Kohnemann, Svenja H. E. Heinemann, Günther 2019-01-07 application/pdf https://doi.org/10.5194/amt-11-5781-2018 https://amt.copernicus.org/articles/11/5781/2018/ eng eng doi:10.5194/amt-11-5781-2018 https://amt.copernicus.org/articles/11/5781/2018/ eISSN: 1867-8548 Text 2019 ftcopernicus https://doi.org/10.5194/amt-11-5781-2018 2020-07-20T16:23:05Z In the present study a non-motion-stabilized scanning Doppler lidar was operated on board of RV Polarstern in the Arctic (June 2014) and Antarctic (December 2015–January 2016). This is the first time that such a system measured on an icebreaker in the Antarctic. A method for a motion correction of the data in the post-processing is presented. The wind calculation is based on vertical azimuth display (VAD) scans with eight directions that pass a quality control. Additionally a method for an empirical signal-to-noise ratio (SNR) threshold is presented, which can be calculated for individual measurement set-ups. Lidar wind profiles are compared to total of about 120 radiosonde profiles and also to wind measurements of the ship. The performance of the lidar measurements in comparison with radio soundings generally shows small root mean square deviation (bias) for wind speed of around 1 m s −1 (0.1 m s −1 ) and for wind direction of around 10 ∘ (1 ∘ ). The post-processing of the non-motion-stabilized data shows a comparably high quality to studies with motion-stabilized systems. Two case studies show that a flexible change in SNR threshold can be beneficial for special situations. Further the studies reveal that short-lived low-level jets in the atmospheric boundary layer can be captured by lidar measurements with a high temporal resolution in contrast to routine radio soundings. The present study shows that a non-motion-stabilized Doppler lidar can be operated successfully on an icebreaker. It presents a processing chain including quality control tests and error quantification, which is useful for further measurement campaigns. Text Antarc* Antarctic Arctic Icebreaker Copernicus Publications: E-Journals Antarctic Arctic The Antarctic Atmospheric Measurement Techniques 11 10 5781 5795
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collection Copernicus Publications: E-Journals
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language English
description In the present study a non-motion-stabilized scanning Doppler lidar was operated on board of RV Polarstern in the Arctic (June 2014) and Antarctic (December 2015–January 2016). This is the first time that such a system measured on an icebreaker in the Antarctic. A method for a motion correction of the data in the post-processing is presented. The wind calculation is based on vertical azimuth display (VAD) scans with eight directions that pass a quality control. Additionally a method for an empirical signal-to-noise ratio (SNR) threshold is presented, which can be calculated for individual measurement set-ups. Lidar wind profiles are compared to total of about 120 radiosonde profiles and also to wind measurements of the ship. The performance of the lidar measurements in comparison with radio soundings generally shows small root mean square deviation (bias) for wind speed of around 1 m s −1 (0.1 m s −1 ) and for wind direction of around 10 ∘ (1 ∘ ). The post-processing of the non-motion-stabilized data shows a comparably high quality to studies with motion-stabilized systems. Two case studies show that a flexible change in SNR threshold can be beneficial for special situations. Further the studies reveal that short-lived low-level jets in the atmospheric boundary layer can be captured by lidar measurements with a high temporal resolution in contrast to routine radio soundings. The present study shows that a non-motion-stabilized Doppler lidar can be operated successfully on an icebreaker. It presents a processing chain including quality control tests and error quantification, which is useful for further measurement campaigns.
format Text
author Zentek, Rolf
Kohnemann, Svenja H. E.
Heinemann, Günther
spellingShingle Zentek, Rolf
Kohnemann, Svenja H. E.
Heinemann, Günther
Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic
author_facet Zentek, Rolf
Kohnemann, Svenja H. E.
Heinemann, Günther
author_sort Zentek, Rolf
title Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic
title_short Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic
title_full Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic
title_fullStr Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic
title_full_unstemmed Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic
title_sort analysis of the performance of a ship-borne scanning wind lidar in the arctic and antarctic
publishDate 2019
url https://doi.org/10.5194/amt-11-5781-2018
https://amt.copernicus.org/articles/11/5781/2018/
geographic Antarctic
Arctic
The Antarctic
geographic_facet Antarctic
Arctic
The Antarctic
genre Antarc*
Antarctic
Arctic
Icebreaker
genre_facet Antarc*
Antarctic
Arctic
Icebreaker
op_source eISSN: 1867-8548
op_relation doi:10.5194/amt-11-5781-2018
https://amt.copernicus.org/articles/11/5781/2018/
op_doi https://doi.org/10.5194/amt-11-5781-2018
container_title Atmospheric Measurement Techniques
container_volume 11
container_issue 10
container_start_page 5781
op_container_end_page 5795
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