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ERC DarkMix : Large Eddy Observatory, Voitsumra Experiment 2019 (LOVE19)

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00005201
URN to cite this document: urn:nbn:de:bvb:703-epub-5201-5

Title data

Lapo, Karl ; Freundorfer, Anita ; Babel, Wolfgang ; Fritz, Antonia ; Martin, Lioba ; Bader, Nico ; Schneider, Johann ; Olesch, Johannes ; Thomas, Christoph:
ERC DarkMix : Large Eddy Observatory, Voitsumra Experiment 2019 (LOVE19).
Bayreuth, Bavaria, Germany : Eigenverlag, 2020 . - 47 P. - (Arbeitsergebnisse / Universität Bayreuth, Abteilung Mikrometeorologie ; 65 )
DOI der Verlagsversion: https://doi.org/10.5281/zenodo.4312976

Format: PDF
Name: LOVE19_AE-Documentation.pdf
Version: Published Version
Available under License Creative Commons BY 4.0: Attribution
Download (23MB)

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Project information

Project title:
Project's official title
Project's id
DarkMix - Illuminating the dark side of surface meteorology: creating a novel framework to explain atmospheric transport and turbulent mixing in the weak-wind boundary layer
724629

Project financing: Andere
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 724629 DarkMix)

Related research data

Abstract

The Large Eddy Observatory, Voitsumra Experiment 2019 (LOVE19) was the first full deployment of the "Large Eddy Observatory" (LEO) concept by DarkMix for observing atmospheric properties on similar scales as Large Eddy Simulations (LES). From this similarity in the resolved scales, the experiment earned the nickname of the Large EddyObservatory.The primary scientific objective of LOVE19 was to understand the role submeso structures play in the weak-wind and stable boundary layer (wwSBL). Turbulence in the wwSBL does not follow assumptions like stationarity and Taylor’s hypothesis. Instead, the occurrence of non-turbulent, submeso structures plays a governing role in the generation of turbulence. One of the key research needs for this problem are observations in which turbulent motions can be separated from the submeso motions on a distributed basis. To this end, LOVE19 featured a large array of Fiber Optic Distributed Sensing(FODS).This document is intended to act as a companion to the Earth System Science Data(ESSD), filling in many of the more nuanced details that are glossed over or omitted inthe peer-reviewed publication. We attempt to avoid repetition between these documents when possible. Unfortunately, since this document needs to be included as part of the published data with a DOI prior to the submission of the ESSD paper, we cannot include a direct reference here. Please see the DOI repository for a reference to the ESSD paper. This Documentation also plays the dual role of being the internal documentation for the DarkMix project as well as the external documentation for the Zenodo repository.

Further data

Item Type: Project report, research report, survey
Keywords: Distributed Temperature Sensing ; Fiber Optic Distributed Sensing ; Boundary Layer Meteorology ; Stable Boundary Layer ; Weak-wind Boundary Layer ; Atmospheric Turbulence ; Morning Transition ; Evening Transition ; Submeso
DDC Subjects: 500 Science > 550 Earth sciences, geology
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Micrometeorology > Professor Micrometeorology - Univ.-Prof. Dr. Christoph K. Thomas
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Micrometeorology
Research Institutions
Research Institutions > Research Centres
Language: German
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-5201-5
Date Deposited: 18 Dec 2020 07:29
Last Modified: 18 Dec 2020 07:29
URI: https://epub.uni-bayreuth.de/id/eprint/5201

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