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First 388 results for ” C Funk”

1. Enhancement of solar and ultraviolet surface irradiance under partial cloudy conditions

   Clouds are important for the transfer of solar radiation to the Earth's surface. In this study, t...

   Serdal Tunc | Year: 1999 | Pages: 45

   Publication

2. Forecasting day-ahead 1-minute irradiance variability from numerical weather predictions

   Accurate forecasts of solar irradiance are required for the large-scale integration of solar phot...

   Frank P.M. Kreuwel, Wouter Knap, Maurice Schmeits, Jordi Vilà-Guerau de Arellano, Chiel C. van Heerwaarden | Journal: Solar Energy | Volume: 258 | Year: 2023 | First page: 57 | Last page: 71 | doi: https://doi.org/10.1016/j.solener.2023.04.050

   Publication

3. The Value-Add of Tailored Seasonal Forecast Information for Industry Decision Making

   There is a growing need for more systematic, robust, and comprehensive information on the value-a...

   Clare Mary Goodess , Alberto Troccoli , Nicholas Vasilakos, Stephen Dorling, Edward Steele, Jessica D. Amies, Hannah Brown, Katie Chowienczyk, Emma Dyer, Marco Formenton, Antonio M. Nicolosi, Elena Calcagni, Valentina Cavedon, Victor Estella Perez, Gertie Geertsema, Folmer Krikken, Kristian Lautrup Nielsen, Marcello Petitta, José Vidal, Martijn De Ruiter, Ian Savage and Jon Upton | Journal: Climate | Volume: 10 | Year: 2022 | First page: 152 | doi: https://doi.org/10.3390/cli10100152

   Publication

4. Extreme Events in the European Renewable Power System: Validation of a Modeling Framework to Estimate Renewable Electricity Production and Demand from Meteorological Data

   With the need to reduce greenhouse gas emissions, the coming decades will see a transition of Eur...

   L van der Most, K van der Wiel, RMJ Benders, PW Gerbens-Leenes, P Kerkmans, R Bintanja | Journal: Renewable and Sustainable Energy Reviews | Volume: 170 | Year: 2022 | First page: 112987 | doi: 10.1016/j.rser.2022.112987

   Publication

5. Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

   Modeling dependencies between climate extremes is important for climate risk assessment, for inst...

   Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4

   Publication