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First 840 results for ” S Michaelides”

1. 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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2. 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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3. Application of Seismic Interferometry by Multidimensional Deconvolution to Earthquake Data Recorded in Malargüe, Argentina

   Seismic interferometry (SI) refers to the principle of generating new seismic responses using cro...

   Faezeh Shirmohammadi, Deyan Draganov, Mohammad RezaHatami and CornelisWeemstra | Journal: Remote Sensing | Volume: 13 | Year: 2021 | doi: https://doi.org/10.3390/rs13234818

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4. Study of the strongest dust storm occurred in Uzbekistan in November 2021

   We studied and reconstructed a severe Central Asian dust storm of November 4, 2021, through high-...

   B. E. Nishonov, B. M. Kholmatjanov, L. D. Labzovskii, N. Rakhmatova, L. Shardakova, E. I. Abdulakhatov, D. U. Yarashev, T. Khujanazarov, D. A. Belikov | Journal: Scientific Reports | Year: 2023 | doi: https://doi.org/10.1038/s41598-023-42256-1

   Publication

5. The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model

   The Cloud Climate Change Initiative (Cloud_cci) satellite simulator has been developed to enable ...

   Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., andWill´en, U | Journal: Geoscientific Model Development | Year: 2019 | doi: https://doi.org/10.5194/gmd-12-829-2019

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