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First 903 results for ” E Remier”

1. The Impact of Meteorological and Hydrological Memory on Compound Peak Flows in the Rhine River Basin

   Spatio-temporal variation of hydrological processes that have a strong lagged autocorrelation (me...

   S Khanal, A Lutz, W Immerzeel, H de Vries, N Wanders, BJJ van den Hurk | Status: published | Journal: Atmosphere | Volume: 10 | Year: 2019 | First page: 171 | doi: 10.3390/atmos10040171

   Publication

2. BioRad: biological analysis and visualization of weather radar data

   Weather surveillance radars are increasingly used for monitoring the movements and abundances of ...

   AM Dokter, P Desmet, JH Spaaks, S van Hoey, L Veen, L Verlinden, C Nilsson, G Haase, H Leijnse, A Farnsworth, W Bouten, J Shamoun-Baranes | Status: published | Journal: Ecography | Volume: 42 | Year: 2019 | First page: 852 | Last page: 860 | doi: 10.1111/ecog.04028

   Publication

3. Revealing patterns of nocturnal migration using the European weather radar network

   Nocturnal avian migration flyways remain an elusive concept, as we have largely lacked methods to...

   C Nilsson, AM Dokter, L Verlinden, J Shamoun-Baranes, B Schmidt, P Desmet, S Bauer, J Chapman, JA Alves, PM Stepanian, N Sapir, C Wainwright, M Boos, A Górska, MHM Menz, P Rodrigues, H Leijnse, P Zehtindjiev, R Brabant, G Haase, N Weisshaupt, M Ciach, F Liechti | Status: published | Journal: Ecography | Volume: 42 | Year: 2019 | First page: 876 | Last page: 886 | doi: 10.1111/ecog.04003

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4. Meteorological conditions leading to extreme low variable renewable energy production and extreme high energy shortfall

   To mitigate climate change a renewable energy transition is needed. Existing power systems will n...

   K van der Wiel, LP Stoop, BRH van Zuijlen, R Blackport, MA van den Broeke, FM Selten | Status: published | Journal: Renewable and Sustainable Energy Reviews | Volume: 111 | Year: 2019 | First page: 261 | Last page: 275 | doi: 10.1016/j.rser.2019.04.065

   Publication

5. Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods

   Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...

   KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1

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