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Fast response anemometers and its application from the Wolga steppe region to Eastern Siberia

Title data

Foken, Thomas ; Strunin, M. A. ; Göckede, Mathias:
Fast response anemometers and its application from the Wolga steppe region to Eastern Siberia.
In: Sychev, Viktor G. ; Mueller, Lothar , Russian Academy of Sciences (ed.): Novel Methods and Results of Landscape Research in Europe, Central Asia and Siberia. Vol. III. Landscape Monitoring and Modelling. - Moscow , 2018 . - pp. 188-192
ISBN 978-5-9238-0249-8
DOI: https://doi.org/10.25680/5411.2018.19.77.232

Abstract in another language

The eddy-covariance method is a tool that uses the high-frequency turbulent fluctuations within the atmosphere to determine energy and matter turbulent fluxes of different substances between the atmosphere and the underlying surface. The most important device is the sonic anemometer to measure the fluctuations of the three component wind vectors, with the first instruments developed in the 1960s in Moscow and tested in the Volga steppe region. This paper presents a general overview on ground-based sonic anemometers and Pitot tube meters for aircrafts with high response times. In this context, we evaluate methane fluxes in the Siberian permafrost area and aircraft measurements in the Lena region. Our approaches allow a spatial-frequency analysis of turbulent structures from the smallest scales to the mesoscale.

Further data

Item Type: Article in a book
Refereed: No
Additional notes: BAYCEER148392
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professorship Micrometeorology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Former Professors > Professorship Micrometeorology - Univ.-Prof. Dr. Thomas Foken
Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Result of work at the UBT: Yes
DDC Subjects: 500 Science
Date Deposited: 26 Mar 2019 08:02
Last Modified: 26 Mar 2019 08:04
URI: https://eref.uni-bayreuth.de/id/eprint/48170