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How Does the Choice of the Lower Boundary Conditions in Large-Eddy Simulations Affect the Development of Dispersive Fluxes Near the Surface?

Wanner, L. 1; De Roo, F.; Sühring, M.; Mauder, M. 1,2
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
2 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)


Large-eddy simulations (LES) are an important tool for investigating the longstanding energy-balance-closure problem, as they provide continuous, spatially-distributed information about turbulent flow at a high temporal resolution. Former LES studies reproduced an energy-balance gap similar to the observations in the field typically amounting to 10–30% for heights on the order of 100 m in convective boundary layers even above homogeneous surfaces. The underestimation is caused by dispersive fluxes associated with large-scale turbulent organized structures that are not captured by single-tower measurements. However, the gap typically vanishes near the surface, i.e. at typical eddy-covariance measurement heights below 20 m, contrary to the findings from field measurements. In this study, we aim to find a LES set-up that can represent the correct magnitude of the energy-balance gap close to the surface. Therefore, we use a nested two-way coupled LES, with a fine grid that allows us to resolve fluxes and atmospheric structures at typical eddy-covariance measurement heights of 20 m. Under different stability regimes we compare three different options for lower boundary conditions featuring grassland and forest surfaces, i.e. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000137068
Veröffentlicht am 12.09.2021
DOI: 10.1007/s10546-021-00649-7
Zitationen: 2
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 0006-8314, 1573-1472
KITopen-ID: 1000137068
HGF-Programm 12.11.11 (POF IV, LK 01) Urban Climate and Air Quality
Erschienen in Boundary-Layer Meteorology
Verlag Springer
Band 182
Seiten 1-27
Vorab online veröffentlicht am 10.08.2021
Nachgewiesen in Dimensions
Web of Science
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