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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Bibliographic Details
Main Authors: Heinemann, Günther, Preußer, Andreas, Zentek, Rolf, Brooks, Ian M
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.954826
https://doi.pangaea.de/10.1594/PANGAEA.954826
id ftdatacite:10.1594/pangaea.954826
record_format openpolar
spelling 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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