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First 1543 results for ” HJ Wang (Lead Authors)”

  1. 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

    Publication

  2. Ozone Monitoring Instrument (OMI) collection 4: establishing a 17-year-long series of detrended level-1b data

    The Ozone Monitoring Instrument (OMI) was launched on 15 July 2004, with an expected mission life...

    Quintus Kleipool, Nico Rozemeijer, Mirna van Hoek, Jonatan Leloux, Erwin Loots, Antje Ludewig, Emiel van der Plas, Daley Adrichem, Raoul Harel, Simon Spronk, Mark ter Linden, Glen Jaross, David Haffner, Pepijn Veefkind, and Pieternel F. Levelt | Journal: Atmospheric Measurement Techniques | Volume: 15 | Year: 2022 | First page: 3527 | Last page: 3553 | doi: https://doi.org/10.5194/amt-15-3527-2022

    Publication

  3. Microgravity Change During the 2008–2018 Kı̄lauea Summit Eruption: Nearly a Decade of Subsurface Mass Accumulation

    Results from nine microgravity campaigns from Kı̄lauea, Hawaiʻi, spanning most of the volcano's 2...

    M Koymans, E de Zeeuw‐van Dalfsen, L Evers, M Poland | Journal: Journal of Geophysical Research: Solid Earth | Volume: 127 | Year: 2022 | doi: 10.1029/2022JB024739

    Publication

  4. 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

    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