Estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the MOSAiC campaign
This study analyzes turbulent energy fluxes in the Arctic atmospheric boundary layer (ABL) using measurements with a small uncrewed aircraft system (sUAS). Turbulent fluxes constitute a major part of the atmospheric energy budget and influence the surface heat balance by distributing energy vertical...
Published in: | Atmospheric Measurement Techniques |
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2023
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Online Access: | https://doi.org/10.5194/amt-16-2297-2023 https://amt.copernicus.org/articles/16/2297/2023/ |
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ftcopernicus:oai:publications.copernicus.org:amt107897 2023-06-11T04:08:37+02:00 Estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the MOSAiC campaign Egerer, Ulrike Cassano, John J. Shupe, Matthew D. Boer, Gijs Lawrence, Dale Doddi, Abhiram Siebert, Holger Jozef, Gina Calmer, Radiance Hamilton, Jonathan Pilz, Christian Lonardi, Michael 2023-05-02 application/pdf https://doi.org/10.5194/amt-16-2297-2023 https://amt.copernicus.org/articles/16/2297/2023/ eng eng doi:10.5194/amt-16-2297-2023 https://amt.copernicus.org/articles/16/2297/2023/ eISSN: 1867-8548 Text 2023 ftcopernicus https://doi.org/10.5194/amt-16-2297-2023 2023-05-08T16:23:13Z This study analyzes turbulent energy fluxes in the Arctic atmospheric boundary layer (ABL) using measurements with a small uncrewed aircraft system (sUAS). Turbulent fluxes constitute a major part of the atmospheric energy budget and influence the surface heat balance by distributing energy vertically in the atmosphere. However, only few in situ measurements of the vertical profile of turbulent fluxes in the Arctic ABL exist. The study presents a method to derive turbulent heat fluxes from DataHawk2 sUAS turbulence measurements, based on the flux gradient method with a parameterization of the turbulent exchange coefficient. This parameterization is derived from high-resolution horizontal wind speed measurements in combination with formulations for the turbulent Prandtl number and anisotropy depending on stability. Measurements were taken during the MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition in the Arctic sea ice during the melt season of 2020. For three example cases from this campaign, vertical profiles of turbulence parameters and turbulent heat fluxes are presented and compared to balloon-borne, radar, and near-surface measurements. The combination of all measurements draws a consistent picture of ABL conditions and demonstrates the unique potential of the presented method for studying turbulent exchange processes in the vertical ABL profile with sUAS measurements. Text Arctic Sea ice Copernicus Publications: E-Journals Arctic Atmospheric Measurement Techniques 16 8 2297 2317 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
This study analyzes turbulent energy fluxes in the Arctic atmospheric boundary layer (ABL) using measurements with a small uncrewed aircraft system (sUAS). Turbulent fluxes constitute a major part of the atmospheric energy budget and influence the surface heat balance by distributing energy vertically in the atmosphere. However, only few in situ measurements of the vertical profile of turbulent fluxes in the Arctic ABL exist. The study presents a method to derive turbulent heat fluxes from DataHawk2 sUAS turbulence measurements, based on the flux gradient method with a parameterization of the turbulent exchange coefficient. This parameterization is derived from high-resolution horizontal wind speed measurements in combination with formulations for the turbulent Prandtl number and anisotropy depending on stability. Measurements were taken during the MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition in the Arctic sea ice during the melt season of 2020. For three example cases from this campaign, vertical profiles of turbulence parameters and turbulent heat fluxes are presented and compared to balloon-borne, radar, and near-surface measurements. The combination of all measurements draws a consistent picture of ABL conditions and demonstrates the unique potential of the presented method for studying turbulent exchange processes in the vertical ABL profile with sUAS measurements. |
format |
Text |
author |
Egerer, Ulrike Cassano, John J. Shupe, Matthew D. Boer, Gijs Lawrence, Dale Doddi, Abhiram Siebert, Holger Jozef, Gina Calmer, Radiance Hamilton, Jonathan Pilz, Christian Lonardi, Michael |
spellingShingle |
Egerer, Ulrike Cassano, John J. Shupe, Matthew D. Boer, Gijs Lawrence, Dale Doddi, Abhiram Siebert, Holger Jozef, Gina Calmer, Radiance Hamilton, Jonathan Pilz, Christian Lonardi, Michael Estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the MOSAiC campaign |
author_facet |
Egerer, Ulrike Cassano, John J. Shupe, Matthew D. Boer, Gijs Lawrence, Dale Doddi, Abhiram Siebert, Holger Jozef, Gina Calmer, Radiance Hamilton, Jonathan Pilz, Christian Lonardi, Michael |
author_sort |
Egerer, Ulrike |
title |
Estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the MOSAiC campaign |
title_short |
Estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the MOSAiC campaign |
title_full |
Estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the MOSAiC campaign |
title_fullStr |
Estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the MOSAiC campaign |
title_full_unstemmed |
Estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the MOSAiC campaign |
title_sort |
estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the mosaic campaign |
publishDate |
2023 |
url |
https://doi.org/10.5194/amt-16-2297-2023 https://amt.copernicus.org/articles/16/2297/2023/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
eISSN: 1867-8548 |
op_relation |
doi:10.5194/amt-16-2297-2023 https://amt.copernicus.org/articles/16/2297/2023/ |
op_doi |
https://doi.org/10.5194/amt-16-2297-2023 |
container_title |
Atmospheric Measurement Techniques |
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16 |
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8 |
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2297 |
op_container_end_page |
2317 |
_version_ |
1768381996745097216 |