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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2023
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Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.954826 https://doi.org/10.1594/PANGAEA.954826 |
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.954826 |
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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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1810294115767681024 |
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) |