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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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On the air-sea coupling in the WAM wave model
Wind generates waves on the surface of the ocean. Modifications of the sea state influence the wi...
DF Doortmont, VK Makin | Year: 2000 | Pages: 55
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Grass pollen counts in the West Netherlands as a function of the weather conditions
Eight hundred and ten four-hourly mean grass pollen counts (observed in Leiden, west-Netherland) ...
J.F. den Tonkelaar | Year: 1986 | Pages: 157
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Regional polar warming linked to poleward moisture transport variability
Polar warming, ice melt and strong precipitation events are strongly affected by episodic polewar...
Richard Bintanja, Rune Grand Graversen, Marlen Kolbe | Journal: Environmental Research – Climate | Volume: 2 | Year: 2023 | First page: 041003 | doi: 10.1088/2752-5295/acee9e
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Retrievals of Precipitable Water Vapor and Aerosol Optical Depth from direct sun measurements with EKO MS711 and MS712 Spectroradiometers
Based on the strict radiative transfer algorithm, a new method is developed to derive the Precipi...
Qiao, C., Liu, S., Huo, J., Mu, X., Wang, P., Jia, S., Fan, X., and Duan, M | Journal: The EGU interactive community platform | Year: 2022 | doi: https://doi.org/10.5194/egusphere-2022-315
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