HALO wind lidar (level 1) data of the University of Trier for MOSAiC ...
Wind lidar measurements of the atmospheric boundary layer (ABL) were performed during the Multidisciplinary drifting Observatory for Study of Arctic Climate (MOSAiC) from September 2019 to October 2020. A “Halo-Photonics Streamline” (HPS) scanning wind lidar was used, which operates at a wavelength...
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Online Access: | https://dx.doi.org/10.1594/pangaea.954826 https://doi.pangaea.de/10.1594/PANGAEA.954826 |
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ftdatacite:10.1594/pangaea.954826 2024-03-31T07:50:49+00:00 HALO wind lidar (level 1) data of the University of Trier for MOSAiC ... Heinemann, Günther Preußer, Andreas Zentek, Rolf Brooks, Ian M 2023 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.954826 https://doi.pangaea.de/10.1594/PANGAEA.954826 en eng PANGAEA https://dx.doi.org/10.5285/cc32622e68ad40bcac14fc6cd69ae4b7 https://dx.doi.org/10.5285/25f1dfeed5224e26a132bba15bb91f38 https://dx.doi.org/10.1525/elementa.2021.00060 https://dx.doi.org/10.5194/amt-11-5781-2018 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 atmospheric boundary layer MOSAiC_ATMOS wind lidar File content Binary Object Doppler Wind-LiDAR PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC dataset Dataset 2023 ftdatacite https://doi.org/10.1594/pangaea.95482610.5285/cc32622e68ad40bcac14fc6cd69ae4b710.5285/25f1dfeed5224e26a132bba15bb91f3810.1525/elementa.2021.0006010.5194/amt-11-5781-2018 2024-03-04T13:55:22Z Wind lidar measurements of the atmospheric boundary layer (ABL) were performed during the Multidisciplinary drifting Observatory for Study of Arctic Climate (MOSAiC) from September 2019 to October 2020. A “Halo-Photonics Streamline” (HPS) scanning wind lidar was used, which operates at a wavelength of 1.5 μm. The lidar can operate with a maximum range of 10km and is a programmable scanner, which enables vertical scans in all hemispheric directions. The scan patterns are the vertical azimuth display (VAD), the range-height indicator (RHI), and scans in one direction (STARE). The VAD is used for the determination of wind profiles above the lidar. The RHI scans are performed with different elevation angles. This allows for measurements of cross-sections, but also for the estimation of turbulent kinetic energy (TKE) profiles. Vertical STARE data can be used to compute the vertical wind variance profile. The HALO lidar measurements were performed in cooperation with the University of Leeds (PI Ian Brooks, Brooks ... : Variables and units are documented in the Netcdf data. ... Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
atmospheric boundary layer MOSAiC_ATMOS wind lidar File content Binary Object Doppler Wind-LiDAR PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
spellingShingle |
atmospheric boundary layer MOSAiC_ATMOS wind lidar File content Binary Object Doppler Wind-LiDAR PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Heinemann, Günther Preußer, Andreas Zentek, Rolf Brooks, Ian M HALO wind lidar (level 1) data of the University of Trier for MOSAiC ... |
topic_facet |
atmospheric boundary layer MOSAiC_ATMOS wind lidar File content Binary Object Doppler Wind-LiDAR PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
description |
Wind lidar measurements of the atmospheric boundary layer (ABL) were performed during the Multidisciplinary drifting Observatory for Study of Arctic Climate (MOSAiC) from September 2019 to October 2020. A “Halo-Photonics Streamline” (HPS) scanning wind lidar was used, which operates at a wavelength of 1.5 μm. The lidar can operate with a maximum range of 10km and is a programmable scanner, which enables vertical scans in all hemispheric directions. The scan patterns are the vertical azimuth display (VAD), the range-height indicator (RHI), and scans in one direction (STARE). The VAD is used for the determination of wind profiles above the lidar. The RHI scans are performed with different elevation angles. This allows for measurements of cross-sections, but also for the estimation of turbulent kinetic energy (TKE) profiles. Vertical STARE data can be used to compute the vertical wind variance profile. The HALO lidar measurements were performed in cooperation with the University of Leeds (PI Ian Brooks, Brooks ... : Variables and units are documented in the Netcdf data. ... |
format |
Dataset |
author |
Heinemann, Günther Preußer, Andreas Zentek, Rolf Brooks, Ian M |
author_facet |
Heinemann, Günther Preußer, Andreas Zentek, Rolf Brooks, Ian M |
author_sort |
Heinemann, Günther |
title |
HALO wind lidar (level 1) data of the University of Trier for MOSAiC ... |
title_short |
HALO wind lidar (level 1) data of the University of Trier for MOSAiC ... |
title_full |
HALO wind lidar (level 1) data of the University of Trier for MOSAiC ... |
title_fullStr |
HALO wind lidar (level 1) data of the University of Trier for MOSAiC ... |
title_full_unstemmed |
HALO wind lidar (level 1) data of the University of Trier for MOSAiC ... |
title_sort |
halo wind lidar (level 1) data of the university of trier for mosaic ... |
publisher |
PANGAEA |
publishDate |
2023 |
url |
https://dx.doi.org/10.1594/pangaea.954826 https://doi.pangaea.de/10.1594/PANGAEA.954826 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://dx.doi.org/10.5285/cc32622e68ad40bcac14fc6cd69ae4b7 https://dx.doi.org/10.5285/25f1dfeed5224e26a132bba15bb91f38 https://dx.doi.org/10.1525/elementa.2021.00060 https://dx.doi.org/10.5194/amt-11-5781-2018 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.95482610.5285/cc32622e68ad40bcac14fc6cd69ae4b710.5285/25f1dfeed5224e26a132bba15bb91f3810.1525/elementa.2021.0006010.5194/amt-11-5781-2018 |
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1795029297292902400 |