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First 198 results for ” M Cupeiro”

1. Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods

   This paper aims to improve short-term forecasting of clouds to accelerate the usability of solar ...

   Dennis Knol, Fons de Leeuw, Jan Fokke Meirink, Valeria V. Krzhizhanovskaya | Year: 2021

   Publication

2. Surface solar radiation forecasts by advecting cloud physical properties derived from Meteosat Second Generation observations

   A surface solar radiation forecast algorithm is developed using cloud physical properties from th...

   Wang, P., van Westrhenen, R., Meirink, J. F., van der Veen, S., and Knap, W | Journal: Solar Energy | Volume: 177 | Year: 2019 | doi: https://doi.org/10.1016/j.solener.2018.10.073

   Publication

3. CRAAS: A European Cloud Regime dAtAset Based on the CLAAS-2.1 Climate Data Record

   Given the important role of clouds in our planet’s climate system, it is crucial to further impro...

   Tzallas, V.; Hünerbein, A.; Stengel, M.; Meirink, J.F.; Benas, N.; Trentmann, J.; Macke, A. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: 10.3390/rs14215548

   Publication

4. Mesoscale weather systems and their interactions with windfarms: A study for the Kattegat.

   Before an off-shore wind farm is built a thorough resource assessment of all available locations ...

   Jérôme Neirynck, Ad Stoffelen, Johan Meyers, Nicole van Lipzig | Journal: EGU General Assembly | Year: 2022 | doi: https://doi.org/10.5194/egusphere-egu22-5030

   Publication

5. Evaluation of CLARA-A2 and ISCCP-H Cloud Cover Climate Data Records over Europe with ECA&D Ground-Based Measurements

   Clouds are of high importance for the climate system but they still remain one of its principal u...

   Tzallas, V., Hatzianastassiou, N., Benas, N., Meirink, J. F., Matsoukas, C., Stackhouse, P., and Vardavas, I | Journal: Remote Sensing | Volume: 11 | Year: 2019 | doi: https://doi.org/10.3390/rs11020212

   Publication