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First 1227 results for ” Stephen Riser”

  1. Global fine-mode aerosol radiative effect, as constrained by comprehensive observations

    Aerosols directly affect the radiative balance of the Earth through the absorption and scattering...

    CE Chung, J-E Chu, Y Lee, T van Noije, H Jeoung, K-J Ha, M Marks | Status: published | Journal: Atmos. Chem. Phys. | Volume: 16 | Year: 2016 | First page: 8071 | Last page: 8080 | doi: 10.5194/acp-16-8071-2016

    Publication

  2. Seismic site response in the Netherlands: impact of the shallow subsurface composition on earthquake ground motion amplification

    Local subsurface compositions can strongly influence the level of amplification of ground motion ...

    Janneke van Ginkel Elmer Ruigrok Rien Herber Läslo Evers | Year: 2022

    Publication

  3. Capturing spatial variability in the regional Ground Motion Model of Groningen, the Netherlands

    Long-term exploration of the Groningen gas field in the Netherlands led to induced seismicity. Ov...

    Kruiver PP, Pefkos M, Rodriguez-Marek A, Campman X, Ooms-Asshoff K, Chmiel M, Lavoué A, Stafford PJ, van Elk J | Journal: Netherlands Journal of Geosciences | Volume: 101 | Year: 2022 | First page: e16 | doi: https://www.doi.org/10.1017/njg.2022.13

    Publication

  4. A database of ground motion recordings, site profiles, and amplification factors from the Groningen gas field in the Netherlands

    A comprehensive database that has been used to develop ground motion models for induced earthquak...

    Michail Ntinalexis, Pauline P Kruiver, Julian J Bommer, Elmer Ruigrok, Adrian Rodriguez-Marek, Ben Edwards, Rui Pinho, Jesper Spetzler, Edwin Obando Hernandez, Manos Pefkos, Mahdi Bahrampouri, Erik P van Onselen, Bernard Dost, Jan van Elk | Journal: Earthquake Spectra | Year: 2022 | doi: 10.1177/87552930221140926

    Publication

  5. Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

    Modeling dependencies between climate extremes is important for climate risk assessment, for inst...

    Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4

    Publication