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First 1983 results for ” Carlo De Michele”

1. How close are opportunistic rainfall observations to providing societal benefit?

   Mitigation of water-related hazards as well as sustainable water resource management is condition...

   Jonas Olsson, Laura Horváth-Varga, Remco van de Beek, Maximilian Graf, Aart Overeem, Magdalena Szaton, Vojtěch Bareš, Nejc Bezak, Christian Chwala, Carlo De Michele, Martin Fencl, Jochen Seidel, Andrijana Todorović | Journal: Journal of Hydrometeorology | Volume: 26 | Year: 2025 | First page: 1585 | Last page: 1602 | doi: 10.1175/JHM-D-25-0043.1

   Publication

2. A Monte Carlo method for probabilistic seismic hazard assessment of induced seismicity due to conventional gas production
   SJ Bourne, SJ Oates, JJ Bommer, B Dost, J Van Elk, D Doornhof | Status: published | Journal: Bulletin of the Seismological Society of America | Volume: 105 | Year: 2015 | First page: 1721 | Last page: 1738 | doi: 10.1785/0120140302

   Publication

3. McSCIA: application of the Equivalence Theorem in a Monte Carlo radiative transfer model for spherical shell atmospheres
   F Spada, M Krol, P Stammes | Status: published | Journal: Atm. Chem. Phys. | Volume: 6 | Year: 2006 | First page: 4823 | Last page: 4842 | doi: 1680-7324/acp/2006-6-4823

   Publication

4. 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

   Publication

5. Hamiltonian Monte Carlo to Characterize Induced Earthquakes: Application to a ML 3.4 Event in the Groningen Gas Field and the Role of Prior

   The Hamiltonian Monte Carlo algorithm is known to be highly efficient when sampling high-dimensio...

   La Ode Marzujriban Masfara, Cornelis Weemstra | Journal: Earth and Space Science | Volume: 11 | Year: 2024 | doi: 10.1029/2023EA003184

   Publication