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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
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Evaluation of rainfall products derived from satellites and microwave links for The Netherlands
High-resolution inputs of rainfall are important in hydrological sciences, especially for urban h...
Rios Gaona, Overeem, Brasjen, Meirink, Leijnse, Uijlenhoet | Status: published | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 55 | Year: 2017 | First page: 6849 | Last page: 6859 | doi: 10.1109/TGRS.2017.2735439
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Catalog of NOx emissions from point sources as derived from the divergence of the NO2 flux for TROPOMI
We present version 1.0 of a global catalog of NOx emissions from point sources, derived from TROP...
Beirle, S., Borger, C., Dörner, S., Eskes, H., Kumar, V., de Laat, A., and Wagner, T. | Journal: Earth Syst. Sci. Data | Volume: 13 | Year: 2021 | First page: 2995 | Last page: 3012 | doi: 10.5194/essd-13-2995-2021
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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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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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