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...

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Main Authors: Egerer, Ulrike, Cassano, John J., Shupe, Matthew D., Boer, Gijs, Lawrence, Dale, Doddi, Abhiram, Siebert, Holger, Jozef, Gina, Calmer, Radiance, Hamilton, Jonathan
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/amt-2022-314
https://amt.copernicus.org/preprints/amt-2022-314/
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spelling ftcopernicus:oai:publications.copernicus.org:amtd107897 2023-05-15T14:51:35+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 2023-01-02 application/pdf https://doi.org/10.5194/amt-2022-314 https://amt.copernicus.org/preprints/amt-2022-314/ eng eng doi:10.5194/amt-2022-314 https://amt.copernicus.org/preprints/amt-2022-314/ eISSN: 1867-8548 Text 2023 ftcopernicus https://doi.org/10.5194/amt-2022-314 2023-01-09T17:22:43Z 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 exist of the vertical profile of turbulent fluxes in the Arctic ABL. 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 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
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language 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 exist of the vertical profile of turbulent fluxes in the Arctic ABL. 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 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
spellingShingle Egerer, Ulrike
Cassano, John J.
Shupe, Matthew D.
Boer, Gijs
Lawrence, Dale
Doddi, Abhiram
Siebert, Holger
Jozef, Gina
Calmer, Radiance
Hamilton, Jonathan
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
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-2022-314
https://amt.copernicus.org/preprints/amt-2022-314/
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-2022-314
https://amt.copernicus.org/preprints/amt-2022-314/
op_doi https://doi.org/10.5194/amt-2022-314
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