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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Main Authors: Heinemann, Günther, Preußer, Andreas, Zentek, Rolf, Brooks, Ian M
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.954826
https://doi.org/10.1594/PANGAEA.954826
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.954826
record_format openpolar
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic Arctic Ocean
atmospheric boundary layer
Binary Object
Doppler Wind-LiDAR
File content
MOSAiC
MOSAiC_ATMOS
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Polarstern
PS122/1
PS122/1_1-45
PS122/2
PS122/2_14-136
PS122/3
PS122/3_28-20
PS122/4
PS122/4_43-2
PS122/5
PS122/5_99-88
wind lidar
W-LiDAR
spellingShingle Arctic Ocean
atmospheric boundary layer
Binary Object
Doppler Wind-LiDAR
File content
MOSAiC
MOSAiC_ATMOS
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Polarstern
PS122/1
PS122/1_1-45
PS122/2
PS122/2_14-136
PS122/3
PS122/3_28-20
PS122/4
PS122/4_43-2
PS122/5
PS122/5_99-88
wind lidar
W-LiDAR
Heinemann, Günther
Preußer, Andreas
Zentek, Rolf
Brooks, Ian M
HALO wind lidar (level 1) data of the University of Trier for MOSAiC
topic_facet Arctic Ocean
atmospheric boundary layer
Binary Object
Doppler Wind-LiDAR
File content
MOSAiC
MOSAiC_ATMOS
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Polarstern
PS122/1
PS122/1_1-45
PS122/2
PS122/2_14-136
PS122/3
PS122/3_28-20
PS122/4
PS122/4_43-2
PS122/5
PS122/5_99-88
wind lidar
W-LiDAR
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 2022a), where the same quality control procedure was applied to the raw data of both HALO wind lidars of the University of Leeds and the University of Trier leading to the level 1 data of this data publication. The lidar raw data are high resolution (~3m along-beam and a few seconds temporal) measurements of lidar backscatter ratio and along-beam Doppler velocity. Data is only available where sufficient particles are available to backscatter the laser beam. The Doppler velocities were corrected for lidar orientation (pitch/roll/heading) and the drift speed of the ice. The result are true earth-relative velocities. The Level 1 data are the data for single beams, and are the basis for the calculation of derived quantities such as the vertical wind profile and wind variances. For the calculation of wind profiles from the single beams of the data e.g. as in Zentek et al. (2018), the lidar_heading must be taken into account. The horizontal direction is the sum of the variables [azimuth_true]+[lidar_heading]. Wind ...
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://doi.pangaea.de/10.1594/PANGAEA.954826
https://doi.org/10.1594/PANGAEA.954826
op_coverage MEDIAN LATITUDE: 85.472047 * MEDIAN LONGITUDE: 91.084150 * SOUTH-BOUND LATITUDE: 78.235842 * WEST-BOUND LONGITUDE: 15.617142 * NORTH-BOUND LATITUDE: 88.588531 * EAST-BOUND LONGITUDE: 133.769412 * DATE/TIME START: 2019-10-05T09:35:00 * DATE/TIME END: 2020-09-10T23:55:00
long_lat ENVELOPE(15.617142,133.769412,88.588531,78.235842)
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_relation Brooks, Ian M (2022): MOSAiC: Wind profiles from Galion G4000 Lidar Wind Profiler - Version 2 [dataset]. NERC EDS Centre For Environmental Data Analysis, https://doi.org/10.5285/CC32622E68AD40BCAC14FC6CD69AE4B7
Brooks, Ian M (2022): MOSAiC: Wind profiles from HALO Doppler lidar -Version 1.0 [dataset]. NERC EDS Centre For Environmental Data Analysis, https://doi.org/10.5285/25F1DFEED5224E26A132BBA15BB91F38
Shupe, Matthew D; Rex, Markus; Blomquist, Byron; Persson, P Ola G; Schmale, Julia; Uttal, Taneil; Althausen, Dietrich; Angot, Hélène; Archer, Stephen; Bariteau, Ludovic; Beck, Ivo; Bilberry, John; Bucci, Silvia; Buck, Clifton S; Boyer, Matt; Brasseur, Zoé; Brooks, Ian M; Calmer, Radiance; Cassano, John J; Castro, Vagner; Chu, David; Costa, David; Cox, Christopher J; Creamean, Jessie; Crewell, Susanne; Dahlke, Sandro; Damm, Ellen; de Boer, Gijs; Deckelmann, Holger; Dethloff, Klaus; Dütsch, Marina; Ebell, Kerstin; Ehrlich, André; Ellis, Jody; Engelmann, Ronny; Fong, Allison A; Frey, Markus M; Gallagher, Michael R; Ganzeveld, Laurens; Gradinger, Rolf; Graeser, Jürgen; Greenamyer, Vernon; Griesche, Hannes; Griffiths, Steele; Hamilton, Jonathan; Heinemann, Günther; Helmig, Detlev; Herber, Andreas; Heuzé, Céline; Hofer, Julian; Houchens, Todd; Howard, Dean; Inoue, Jun; Jacobi, Hans-Werner; Jaiser, Ralf; Jokinen, Tuija; Jourdan, Olivier; Jozef, Gina; King, Wessley; Kirchgaessner, Amelie; Klingebiel, Marcus; Krassovski, Misha; Krumpen, Thomas; Lampert, Astrid; Landing, William M; Laurila, Tiia; Lawrence, Dale; Lonardi, Michael; Loose, Brice; Lüpkes, Christof; Maahn, Maximilian; Macke, Andreas; Maslowski, Wieslaw; Marsay, Christopher M; Maturilli, Marion; Mech, Mario; Morris, Sara; Moser, Manuel; Nicolaus, Marcel; Ortega, Paul; Osborn, Jackson; Pätzold, Falk; Perovich, Donald K; Petäjä, Tuukka; Pilz, Christian; Pirazzini, Roberta; Posman, Kevin; Powers, Heath; Pratt, Kerri A; Preußer, Andreas; Quéléver, Lauriane; Radenz, Martin; Rabe, Benjamin; Rinke, Annette; Sachs, Torsten; Schulz, Alexander; Siebert, Holger; Silva, Tercio; Solomon, Amy; Sommerfeld, Anja; Spreen, Gunnar; Stephens, Mark; Stohl, Andreas; Svensson, Gunilla; Uin, Janek; Viegas, Juarez; Voigt, Christiane; von der Gathen, Peter; Wehner, Birgit; Welker, Jeffrey M; Wendisch, Manfred; Werner, Martin; Xie, Zhouqing; Yue, Fange (2022): Overview of the MOSAiC expedition: Atmosphere. Elementa - Science of the Anthropocene, 10(1), https://doi.org/10.1525/elementa.2021.00060
Zentek, Rolf; Kohnemann, Svenja H E; Heinemann, Günther (2018): Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic. Atmospheric Measurement Techniques, 11(10), 5781-5795, https://doi.org/10.5194/amt-11-5781-2018
Readme: HALO wind lidar (level 1) data of the University of Trier for MOSAiC (URI: https://download.pangaea.de/reference/117042/attachments/readme_Lidar_Uni_Trier.txt)
https://doi.pangaea.de/10.1594/PANGAEA.954826
https://doi.org/10.1594/PANGAEA.954826
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
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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spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.954826 2024-09-15T17:52:02+00:00 HALO wind lidar (level 1) data of the University of Trier for MOSAiC Heinemann, Günther Preußer, Andreas Zentek, Rolf Brooks, Ian M MEDIAN LATITUDE: 85.472047 * MEDIAN LONGITUDE: 91.084150 * SOUTH-BOUND LATITUDE: 78.235842 * WEST-BOUND LONGITUDE: 15.617142 * NORTH-BOUND LATITUDE: 88.588531 * EAST-BOUND LONGITUDE: 133.769412 * DATE/TIME START: 2019-10-05T09:35:00 * DATE/TIME END: 2020-09-10T23:55:00 2023 text/tab-separated-values, 8 data points https://doi.pangaea.de/10.1594/PANGAEA.954826 https://doi.org/10.1594/PANGAEA.954826 en eng PANGAEA Brooks, Ian M (2022): MOSAiC: Wind profiles from Galion G4000 Lidar Wind Profiler - Version 2 [dataset]. NERC EDS Centre For Environmental Data Analysis, https://doi.org/10.5285/CC32622E68AD40BCAC14FC6CD69AE4B7 Brooks, Ian M (2022): MOSAiC: Wind profiles from HALO Doppler lidar -Version 1.0 [dataset]. NERC EDS Centre For Environmental Data Analysis, https://doi.org/10.5285/25F1DFEED5224E26A132BBA15BB91F38 Shupe, Matthew D; Rex, Markus; Blomquist, Byron; Persson, P Ola G; Schmale, Julia; Uttal, Taneil; Althausen, Dietrich; Angot, Hélène; Archer, Stephen; Bariteau, Ludovic; Beck, Ivo; Bilberry, John; Bucci, Silvia; Buck, Clifton S; Boyer, Matt; Brasseur, Zoé; Brooks, Ian M; Calmer, Radiance; Cassano, John J; Castro, Vagner; Chu, David; Costa, David; Cox, Christopher J; Creamean, Jessie; Crewell, Susanne; Dahlke, Sandro; Damm, Ellen; de Boer, Gijs; Deckelmann, Holger; Dethloff, Klaus; Dütsch, Marina; Ebell, Kerstin; Ehrlich, André; Ellis, Jody; Engelmann, Ronny; Fong, Allison A; Frey, Markus M; Gallagher, Michael R; Ganzeveld, Laurens; Gradinger, Rolf; Graeser, Jürgen; Greenamyer, Vernon; Griesche, Hannes; Griffiths, Steele; Hamilton, Jonathan; Heinemann, Günther; Helmig, Detlev; Herber, Andreas; Heuzé, Céline; Hofer, Julian; Houchens, Todd; Howard, Dean; Inoue, Jun; Jacobi, Hans-Werner; Jaiser, Ralf; Jokinen, Tuija; Jourdan, Olivier; Jozef, Gina; King, Wessley; Kirchgaessner, Amelie; Klingebiel, Marcus; Krassovski, Misha; Krumpen, Thomas; Lampert, Astrid; Landing, William M; Laurila, Tiia; Lawrence, Dale; Lonardi, Michael; Loose, Brice; Lüpkes, Christof; Maahn, Maximilian; Macke, Andreas; Maslowski, Wieslaw; Marsay, Christopher M; Maturilli, Marion; Mech, Mario; Morris, Sara; Moser, Manuel; Nicolaus, Marcel; Ortega, Paul; Osborn, Jackson; Pätzold, Falk; Perovich, Donald K; Petäjä, Tuukka; Pilz, Christian; Pirazzini, Roberta; Posman, Kevin; Powers, Heath; Pratt, Kerri A; Preußer, Andreas; Quéléver, Lauriane; Radenz, Martin; Rabe, Benjamin; Rinke, Annette; Sachs, Torsten; Schulz, Alexander; Siebert, Holger; Silva, Tercio; Solomon, Amy; Sommerfeld, Anja; Spreen, Gunnar; Stephens, Mark; Stohl, Andreas; Svensson, Gunilla; Uin, Janek; Viegas, Juarez; Voigt, Christiane; von der Gathen, Peter; Wehner, Birgit; Welker, Jeffrey M; Wendisch, Manfred; Werner, Martin; Xie, Zhouqing; Yue, Fange (2022): Overview of the MOSAiC expedition: Atmosphere. Elementa - Science of the Anthropocene, 10(1), https://doi.org/10.1525/elementa.2021.00060 Zentek, Rolf; Kohnemann, Svenja H E; Heinemann, Günther (2018): Analysis of the performance of a ship-borne scanning wind lidar in the Arctic and Antarctic. Atmospheric Measurement Techniques, 11(10), 5781-5795, https://doi.org/10.5194/amt-11-5781-2018 Readme: HALO wind lidar (level 1) data of the University of Trier for MOSAiC (URI: https://download.pangaea.de/reference/117042/attachments/readme_Lidar_Uni_Trier.txt) https://doi.pangaea.de/10.1594/PANGAEA.954826 https://doi.org/10.1594/PANGAEA.954826 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Arctic Ocean atmospheric boundary layer Binary Object Doppler Wind-LiDAR File content MOSAiC MOSAiC_ATMOS MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate Polarstern PS122/1 PS122/1_1-45 PS122/2 PS122/2_14-136 PS122/3 PS122/3_28-20 PS122/4 PS122/4_43-2 PS122/5 PS122/5_99-88 wind lidar W-LiDAR dataset 2023 ftpangaea https://doi.org/10.1594/PANGAEA.95482610.5285/CC32622E68AD40BCAC14FC6CD69AE4B710.5285/25F1DFEED5224E26A132BBA15BB91F3810.1525/elementa.2021.0006010.5194/amt-11-5781-2018 2024-07-24T02:31:35Z 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 2022a), where the same quality control procedure was applied to the raw data of both HALO wind lidars of the University of Leeds and the University of Trier leading to the level 1 data of this data publication. The lidar raw data are high resolution (~3m along-beam and a few seconds temporal) measurements of lidar backscatter ratio and along-beam Doppler velocity. Data is only available where sufficient particles are available to backscatter the laser beam. The Doppler velocities were corrected for lidar orientation (pitch/roll/heading) and the drift speed of the ice. The result are true earth-relative velocities. The Level 1 data are the data for single beams, and are the basis for the calculation of derived quantities such as the vertical wind profile and wind variances. For the calculation of wind profiles from the single beams of the data e.g. as in Zentek et al. (2018), the lidar_heading must be taken into account. The horizontal direction is the sum of the variables [azimuth_true]+[lidar_heading]. Wind ... Dataset Arctic Arctic Ocean PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(15.617142,133.769412,88.588531,78.235842)