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First 2520 results for ” Thierry Carval”

  1. Differential impact of government lockdown policies on reducing air pollution levels and related mortality in Europe

    Previous studies have reported a decrease in air pollution levels following the enforcement of lo...

    Rochelle Schneider and John Douros | Journal: Nature, Scientific reports | Volume: 12, Article number: 726 | Year: 2022 | doi: 10.1038/s41598-021-04277-6

    Publication

  2. Analysis of Data-Derived SeaWinds Normalized Radar Cross-Section Noise

    The normalized standard deviation (Kp) of the noise that affects scatterometer Normalized Radar C...

    Giuseppe Grieco, Ad Stoffelen, Anton Verhoef, Jur Vogelzang, Marcos Portabella | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: https://doi.org/10.3390/rs14215444

    Publication

  3. 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

  4. 3D S-wave velocity imaging of Reykjanes Peninsula high-enthalpy geothermal fields with ambient-noise tomography

    Tomographic imaging based on ambient seismic noise measurements has shown to be a powerful tool, ...

    JE Martins, C Weemstra, EN Ruigrok, A Verdel, P Jousset, GP Hersir | Status: published | Journal: Journal of Volcanology and Geothermal Research | Volume: 391 | Year: 2020 | doi: https://doi.org/10.1016/j.jvolgeores.2019.106685

    Publication

  5. Improvements in Ku-band scatterometer wind ambiguity removal using ASCAT-based empirical background error correlations

    Wind scatterometry is an established technique for accurately measuring wind vectors over the wor...

    Jur Vogelzang, Ad Stoffelen | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 144 | Year: 2018 | doi: https://doi.org/10.1002/qj.3349

    Publication