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A Study of the leakage of the Antarctic polar vortex in late austral winter and spring using isentropic and 3-D trajectories
The permeability of the Antarctic polar vortex is investigated in late austral winter and spring ...
MC Öllers, PFJ van Velthoven, HM Kelder, LPJ Kamp | Status: published | Journal: J. Geophys. Res. | Volume: 107 | Year: 2002 | First page: 4328 | doi: doi:10.1029/2001JD001363
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Meteorological conditions leading to extreme low variable renewable energy production and extreme high energy shortfall
To mitigate climate change a renewable energy transition is needed. Existing power systems will n...
K van der Wiel, LP Stoop, BRH van Zuijlen, R Blackport, MA van den Broeke, FM Selten | Status: published | Journal: Renewable and Sustainable Energy Reviews | Volume: 111 | Year: 2019 | First page: 261 | Last page: 275 | doi: 10.1016/j.rser.2019.04.065
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Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods
Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...
KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1
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Aerosol Absorption over Land Derived from the Ultra-Violet Aerosol Index by Deep Learning.
Quantitative measurements of aerosol absorptive properties, e.g., the absorbing aerosol optical d...
J. Sun, P. Veefkind, P. Van Velthoven, P. Levelt | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 14 | Year: 2021 | First page: 9692 | Last page: 9710 | doi: 10.1109/JSTARS.2021.3108669
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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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