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First 989 results for ” J Barkmeijer”

1. The MSG-SEVIRI-based cloud property data record CLAAS-2

   Clouds play a central role in the Earth's atmosphere, and satellite observations are crucial for ...

   Benas N., Finkensieper S., Stengel M., Van Zadelhoff G.-J., Hanschmann T., Hollmann R., Meirink J. F. | Status: published | Journal: Earth System Science Data | Volume: 9 | Year: 2017 | First page: 415 | Last page: 434 | doi: 10.5194/essd-9-415-2017

   Publication

2. 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

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3. Technical description of the KNMI Rainfall Generators for the Rhine and Meuse basins

   This report gives a technical description of what is briefly known as the KNMI Rainfall (or Weath...

   Jules J. Beersma, T. Adri Buishand and Maurice J. Schmeits | Year: 2014 | Pages: 32

   Publication

4. 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

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5. 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

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