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An efficient probabilistic workflow for estimating induced earthquake parameters in 3D heterogeneous media
We present an efficient probabilistic workflow for the estimation of source parameters of induced...
La Ode Marzujriban Masfara, Thomas Cullison, Cornelis Weemstra | Journal: Solid Earth | Volume: 13 | Year: 2022 | First page: 1309 | Last page: 1325 | doi: https://doi.org/10.5194/se-13-1309-2022
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Shallow crustal imaging using distant, high-magnitude earthquakes
Global phases, viz. seismic phases that travel through the Earth’s core, can be used to locally i...
Johno van IJsseldijk, Elmer Ruigrok, Arie Verdel, Cornelis Weemstra | Journal: Geophysical Journal International | Volume: 219 | Year: 2019 | First page: 1082 | Last page: 1091 | doi: https://doi.org/10.1093/gji/ggz343
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Toward an Improved Representation of Middle Atmospheric Dynamics Thanks to the ARISE Project
This paper reviews recent progress toward understanding the dynamics of the middle atmosphere in ...
E Blanc, LG Evers, JD Assink, PSM Smets, et al. | Status: published | Journal: Surveys in Geophysics | Volume: 39 | Year: 2018 | First page: 171 | Last page: 225 | doi: 10.1007/s10712-017-9444-0
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Ten years of 1 Hz solar irradiance observations at Cabauw, the Netherlands, with cloud observations, variability classifications, and statistics
Surface solar irradiance varies on scales down to seconds, and detailed long-term observational d...
Wouter B. Mol, Wouter H. Knap, and Chiel C. van Heerwaarden | Journal: Earth System Science Data | Volume: 15 | Year: 2023 | First page: 2139 | Last page: 2151 | doi: https://doi.org/10.5194/essd-15-2139-2023
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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
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