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Charlotte Bay Hasager
Researcher at Technical University of Denmark
Publications - 223
Citations - 4591
Charlotte Bay Hasager is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Offshore wind power & Wind speed. The author has an hindex of 37, co-authored 214 publications receiving 3971 citations. Previous affiliations of Charlotte Bay Hasager include United States Department of Energy.
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Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture
Eva Boegh,Henrik Soegaard,Niels Broge,Charlotte Bay Hasager,N.O. Jensen,Kirsten Schelde,Anton Thomsen +6 more
TL;DR: In this article, the authors used the Compact Airborne Spectral Imager (CASI) for an agricultural area in Denmark with the purpose of quantifying vegetation amount and variations in the physiological status of the vegetation.
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Wake effects of large offshore wind farms identified from satellite SAR
TL;DR: In this paper, the effect of large offshore wind farms on the local wind climate is studied using satellite synthetic aperture radar (SAR) images, which are derived from a total of 30 ERS-2 SAR scenes and 11 Envisat ASAR scenes over two large offshore Wind farms in Denmark: Horns Rev in the North Sea (80 turbines) and Nysted in the Baltic Sea (78 turbines).
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Incorporating remote sensing data in physically based distributed agro-hydrological modelling
Eva Boegh,M. Thorsen,M.B. Butts,Søren Hansen,J.S. Christiansen,Per Abrahamsen,Charlotte Bay Hasager,N.O. Jensen,P. van der Keur,Jens Christian Refsgaard,Kirsten Schelde,Henrik Soegaard,A. Thomsen +12 more
TL;DR: In this article, the relationship between the soil water balance and the vegetation growth is represented by coupling a hydrological model (MIKE SHE) and a vegetation-SVAT model (Daisy) which simulates the interactions between soil, vegetation and atmosphere including the seasonal variation in plant structure and function.
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Offshore wind profiling using light detection and ranging measurements
Alfredo Peña,Charlotte Bay Hasager,Sven-Erik Gryning,Michael Courtney,I. Antoniou,Torben Mikkelsen +5 more
TL;DR: In this article, the advantages and limitations of the ZephIR®, a continuous-wave, focused light detection and ranging (LiDAR) wind profiler, to observe offshore winds and turbulence characteristics were tested during a 6 month campaign at the transformer/platform of Horns Rev, the world's largest wind farm.
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Wind climate estimation using WRF model output: method and model sensitivities over the sea
TL;DR: In this article, high-quality tall mast and wind lidar measurements over the North and Baltic Seas are used to validate the wind climatology produced from winds simulated by the Weather, Research and Forecasting (WRF) model in analysis mode.