Energy Dissipation Rate calculation algorithm for tethered balloon-borne turbulence observations during MOSAiC Legs 1, 2, and 3

The energy dissipation rate calculation algorithm is an algorithm to derive local energy dissipation rates from high-resolution wind velocity records. The algorithm is based on inertial subrange scaling and it uses the second-order structure function. First, the algorithm calculates the second order...

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Main Authors: Akansu, Elisa F., Egerer, Ulrike, Siebert, Holger
Format: Other/Unknown Material
Language:English
Published: Zenodo 2023
Subjects:
ABL
Online Access:https://doi.org/10.5281/zenodo.8116420
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spelling ftzenodo:oai:zenodo.org:8116420 2024-09-09T19:21:11+00:00 Energy Dissipation Rate calculation algorithm for tethered balloon-borne turbulence observations during MOSAiC Legs 1, 2, and 3 Akansu, Elisa F. Egerer, Ulrike Siebert, Holger 2023-07-01 https://doi.org/10.5281/zenodo.8116420 eng eng Zenodo https://doi.org/10.5281/zenodo.7079156 https://doi.org/10.5281/zenodo.8116420 oai:zenodo.org:8116420 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode MOSAiC turbulence ABL Arctic profiles tethered balloon info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.811642010.5281/zenodo.7079156 2024-07-26T22:36:55Z The energy dissipation rate calculation algorithm is an algorithm to derive local energy dissipation rates from high-resolution wind velocity records. The algorithm is based on inertial subrange scaling and it uses the second-order structure function. First, the algorithm calculates the second order structure function for different inertial subranges. As a next step, the inertial subrange with the scaling coefficient closest to 2/3 is chosen to derive the local energy dissipation rate for the sub-record. If the scaling coefficient is not within the accepted range, the energy dissipation rate is set to "not a number". The algorithm is written in python and needs input data sets. The energy dissipation rate calculation algorithm was developed for tethered balloon-borne turbulence measurements of a hot-wire anemometer package operated during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. A detailed description of the data set, the turbulence probe and the methods can be found in Akansu et al. (in preparation, Scientific Data). We gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 268020496 – TRR 172, within the Transregional Collaborative Research Center "ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3 " in sub-project A02. The code is developed for data that was produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_01, AWI_PS122_02, AWI_PS122_03. Other/Unknown Material Arctic Zenodo Arctic
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic MOSAiC
turbulence
ABL
Arctic
profiles
tethered balloon
spellingShingle MOSAiC
turbulence
ABL
Arctic
profiles
tethered balloon
Akansu, Elisa F.
Egerer, Ulrike
Siebert, Holger
Energy Dissipation Rate calculation algorithm for tethered balloon-borne turbulence observations during MOSAiC Legs 1, 2, and 3
topic_facet MOSAiC
turbulence
ABL
Arctic
profiles
tethered balloon
description The energy dissipation rate calculation algorithm is an algorithm to derive local energy dissipation rates from high-resolution wind velocity records. The algorithm is based on inertial subrange scaling and it uses the second-order structure function. First, the algorithm calculates the second order structure function for different inertial subranges. As a next step, the inertial subrange with the scaling coefficient closest to 2/3 is chosen to derive the local energy dissipation rate for the sub-record. If the scaling coefficient is not within the accepted range, the energy dissipation rate is set to "not a number". The algorithm is written in python and needs input data sets. The energy dissipation rate calculation algorithm was developed for tethered balloon-borne turbulence measurements of a hot-wire anemometer package operated during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. A detailed description of the data set, the turbulence probe and the methods can be found in Akansu et al. (in preparation, Scientific Data). We gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 268020496 – TRR 172, within the Transregional Collaborative Research Center "ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3 " in sub-project A02. The code is developed for data that was produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_01, AWI_PS122_02, AWI_PS122_03.
format Other/Unknown Material
author Akansu, Elisa F.
Egerer, Ulrike
Siebert, Holger
author_facet Akansu, Elisa F.
Egerer, Ulrike
Siebert, Holger
author_sort Akansu, Elisa F.
title Energy Dissipation Rate calculation algorithm for tethered balloon-borne turbulence observations during MOSAiC Legs 1, 2, and 3
title_short Energy Dissipation Rate calculation algorithm for tethered balloon-borne turbulence observations during MOSAiC Legs 1, 2, and 3
title_full Energy Dissipation Rate calculation algorithm for tethered balloon-borne turbulence observations during MOSAiC Legs 1, 2, and 3
title_fullStr Energy Dissipation Rate calculation algorithm for tethered balloon-borne turbulence observations during MOSAiC Legs 1, 2, and 3
title_full_unstemmed Energy Dissipation Rate calculation algorithm for tethered balloon-borne turbulence observations during MOSAiC Legs 1, 2, and 3
title_sort energy dissipation rate calculation algorithm for tethered balloon-borne turbulence observations during mosaic legs 1, 2, and 3
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.8116420
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://doi.org/10.5281/zenodo.7079156
https://doi.org/10.5281/zenodo.8116420
oai:zenodo.org:8116420
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.811642010.5281/zenodo.7079156
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