Frederik De Roo
Karlsruhe Institute of Technology
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Featured researches published by Frederik De Roo.
Boundary-Layer Meteorology | 2014
Fabian Eder; Frederik De Roo; Katrin Kohnert; Raymond L. Desjardins; Hans Peter Schmid; Matthias Mauder
A general lack of energy balance closure indicates that tower-based eddy-covariance (EC) measurements underestimate turbulent heat fluxes, which calls for robust correction schemes. Two parametrization approaches that can be found in the literature were tested using data from the Canadian Twin Otter research aircraft and from tower-based measurements of the German Terrestrial Environmental Observatories (TERENO) programme. Our analysis shows that the approach of Huang et al. (Boundary-Layer Meteorol 127:273–292, 2008), based on large-eddy simulation, is not applicable to typical near-surface flux measurements because it was developed for heights above the surface layer and over homogeneous terrain. The biggest shortcoming of this parametrization is that the grid resolution of the model was too coarse so that the surface layer, where EC measurements are usually made, is not properly resolved. The empirical approach of Panin and Bernhofer (Izvestiya Atmos Oceanic Phys 44:701–716, 2008) considers landscape-level roughness heterogeneities that induce secondary circulations and at least gives a qualitative estimate of the energy balance closure. However, it does not consider any feature of landscape-scale heterogeneity other than surface roughness, such as surface temperature, surface moisture or topography. The failures of both approaches might indicate that the influence of mesoscale structures is not a sufficient explanation for the energy balance closure problem. However, our analysis of different wind-direction sectors shows that the upwind landscape-scale heterogeneity indeed influences the energy balance closure determined from tower flux data. We also analyzed the aircraft measurements with respect to the partitioning of the “missing energy” between sensible and latent heat fluxes and we could confirm the assumption of scalar similarity only for Bowen ratios
Bulletin of the American Meteorological Society | 2017
Bart Wolf; Christian Chwala; Benjamin Fersch; Jakob Garvelmann; W. Junkermann; Matthias Zeeman; Andreas Angerer; Bianca Adler; Christoph Beck; Caroline Brosy; Peter Brugger; Stefan Emeis; Michael Dannenmann; Frederik De Roo; Eugenio Díaz-Pinés; Edwin Haas; Martin Hagen; Irena Hajnsek; Jucundus Jacobeit; Thomas Jagdhuber; N. Kalthoff; Ralf Kiese; Harald Kunstmann; Oliver Kosak; Ronald Krieg; Carsten Malchow; Matthias Mauder; Ralf Merz; Claudia Notarnicola; Andreas Philipp
Boundary-Layer Meteorology | 2017
Sadiq Huq; Frederik De Roo; Thomas Foken; Matthias Mauder
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Hydrological Processes | 2018
Matthias Mauder; Sandra Genzel; Jin Fu; Ralf Kiese; Mohsen Soltani; Rainer Steinbrecher; Matthias Zeeman; Tirtha Banerjee; Frederik De Roo; Harald Kunstmann
Boundary-Layer Meteorology | 2018
Peter Brugger; Tirtha Banerjee; Frederik De Roo; Konstantin Kröniger; Rafat Qubaja; Shani Rohatyn; Eyal Rotenberg; Feodor Tatarinov; Dan Yakir; Fulin Yang; Matthias Mauder
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Boundary-Layer Meteorology | 2018
Konstantin Kröniger; Frederik De Roo; Peter Brugger; Sadiq Huq; Tirtha Banerjee; Judith Zinsser; Eyal Rotenberg; Dan Yakir; Shani Rohatyn; Matthias Mauder
AbstractScaleX is a collaborative measurement campaign, collocated with a long-term environmental observatory of the German Terrestrial Environmental Observatories (TERENO) network in the mountainous terrain of the Bavarian Prealps, Germany. The aims of both TERENO and ScaleX include the measurement and modeling of land surface–atmosphere interactions of energy, water, and greenhouse gases. ScaleX is motivated by the recognition that long-term intensive observational research over years or decades must be based on well-proven, mostly automated measurement systems, concentrated in a small number of locations. In contrast, short-term intensive campaigns offer the opportunity to assess spatial distributions and gradients by concentrated instrument deployments, and by mobile sensors (ground and/or airborne) to obtain transects and three-dimensional patterns of atmospheric, surface, or soil variables and processes. Moreover, intensive campaigns are ideal proving grounds for innovative instruments, methods, and...
Journal of the Atmospheric Sciences | 2017
Frederik De Roo; Tirtha Banerjee
The Campbell CSAT3 sonic anemometer is one of the most popular instruments for turbulence measurements in basic micrometeorological research and ecological applications. While measurement uncertainty has been characterized by field experiments and wind-tunnel studies in the past, there are conflicting estimates, which motivated us to conduct a numerical experiment using large-eddy simulation to evaluate the probe-induced flow distortion of the CSAT3 anemometer under controlled conditions, and with exact knowledge of the undisturbed flow. As opposed to wind-tunnel studies, we imposed oscillations in both the vertical and horizontal velocity components at the distinct frequencies and amplitudes found in typical turbulence spectra in the surface layer. The resulting flow-distortion errors for the standard deviations of the vertical velocity component range from 3 to 7%, and from 1 to 3% for the horizontal velocity component, depending on the azimuth angle. The magnitude of these errors is almost independent of the frequency of wind speed fluctuations, provided the amplitude is typical for surface-layer turbulence. A comparison of the corrections for transducer shadowing proposed by both Kaimal et al. (Proc Dyn Flow Conf, 551–565, 1978) and Horst et al. (Boundary-Layer Meteorol 155:371–395, 2015) show that both methods compensate for a larger part of the observed error, but do not sufficiently account for the azimuth dependency. Further numerical simulations could be conducted in the future to characterize the flow distortion induced by other existing types of sonic anemometers for the purposes of optimizing their geometry.
Journal of Applied Meteorology and Climatology | 2017
Tirtha Banerjee; Frederik De Roo; Matthias Mauder
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research–Atmospheric Environmental Research, Garmisch‐Partenkirchen, Germany Technical University Dresden, Institute of Hydrology und Meteorology, Dresden, Germany Karlsruhe Institute of Technology, Institute of Geography and Geoecology, Karlsruhe, Germany 4 Institute of Geography, University of Augsburg, Augsburg, Germany Los Alamos National Laboratory, Earth and Environmental Sciences Division, Applied Terrestrial, Energy and Atmospheric Modeling, New Mexico, USA Correspondence Matthias Mauder, KIT/IMK‐IFU, Kreuzeckbahnstraße 19, 82467 Garmisch‐Partenkirchen. Email: [email protected] Funding information Helmholtz‐Gemeinschaft, Grant/Award Number: VH‐NG‐843; Helmholtz Association
Agricultural and Forest Meteorology | 2015
Fabian Eder; Frederik De Roo; Eyal Rotenberg; Dan Yakir; Hans Peter Schmid; Matthias Mauder
We investigate the effects of an isolated meso-
Hydrology and Earth System Sciences | 2017
Tirtha Banerjee; Frederik De Roo; Matthias Mauder