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A Monte Carlo Method for Probabilistic Hazard Assessment of Induced Seismicity due to Conventional Natural Gas Production
A Monte Carlo approach to probabilistic seismic-hazard analysis is developed for a case of induce...
S. J. Bourne, S. J. Oates, J. J. Bommer, B. Dost, J. van Elk, and D. Doornhof | Status: published | Journal: Bulletin of the Seismological Society of America | Volume: Vol. 105
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Establishment of conceptual schemas of surface synoptic meteorological situations affecting fine particulate pollution across eastern China in the winter
In the present study, the characteristics of weather conditions and local meteorological
variable...
X Hou, B Zhu, KR Kumar, G de Leeuw, W Lu, Q Huang, X Zhu | Status: published | Journal: J. Geophys. Res. | Volume: 125 | Year: 2020 | First page: 1 | Last page: 17 | doi: https://doi.org/ 10.1029/2020JD033153
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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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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...
P Wang, RM van Westrhenen, JF Meirink, SH van der Veen, WH Knap | Status: published | Journal: Solar Energy | Volume: 177 | Year: 2018 | First page: 47 | Last page: 58 | doi: https://doi.org/10.1016/j.solener.2018.10.073
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