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First 2449 results for ” D Conway”

  1. Monitoring Beach Topography and Nearshore Bathymetry Using Spaceborne Remote Sensing: A Review

    With high anthropogenic pressure and the effects of climate change (e.g., sea level rise) on coas...

    Salameh, E.; Frappart, F.; Almar, R.; Baptista, P.; Heygster, G.; Lubac, B.; Raucoules, D.; Almeida, L.P.; Bergsma, E.W.J.; Capo, S.; De Michele, M.; Idier, D.; Li, Z.; Marieu, V.; Poupardin, A.; Silva, P.A.; Turki, I.; Laignel, B. | Journal: Remote Sensing | Volume: 11 | Year: 2019 | First page: 1-32 | doi: https://doi.org/10.3390/rs11192212

    Publication

  2. Atmospheric waves and global seismoacoustic observations of the January 2022 Hunga eruption, Tonga

    The 15 January 2022 climactic eruption of Hunga volcano, Tonga, produced an explosion in the atmo...

    RS Matoza, JD Assink, D Fee, AM Iezzi, DN Green, ..., S Shani-Kadmiel, G Averbuch, LG Evers, et al. | Journal: Science | Volume: 377 | Year: 2022 | First page: 95 | Last page: 100 | doi: https://doi.org/10.1126/science.abo7063

    Publication

  3. Long-Term Infrasonic Monitoring of Land and Marine-Terminating Glaciers in Greenland

    A period of 18 years of infrasonic recordings was analyzed from a microbarometer array (I18DK) in...

    LG Evers, PSM Smets, JD Assink, S Shani-Kadmiel, K Kondo, S Sugiyama | Journal: Geophysical Research Letters | Year: 2022 | doi: http://dx.doi.org/10.1029/2021GL097113

    Publication

  4. Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions

    Biomass burning (BB) is a major source of aerosols that remain the most uncertain components of t...

    Q Zhong, N Schutgens, GR van der Werf, T van Noije, SE Bauer, K Tsigaridis, T Mielonen, R Checa-Garcia, D Neubauer, Z Kipling, A Kirkevåg, DJL Olivié, H Kokkola, H Matsui, P Ginoux, T Takemura, P Le Sager, S Rémy, H Bian, M Chin | Journal: Nat. Commun. | Volume: 13 | Year: 2022 | First page: 5914 | doi: 10.1038/s41467-022-33680-4

    Publication

  5. Added value of large ensemble simulations for assessing extreme river discharge in a 2 °C warmer world

    The assessment of return periods of extreme hydrological events often relies on statistical analy...

    K van der Wiel, N Wanders, FM Selten, MFP Bierkens | Status: published | Journal: Geophysical Research Letters | Volume: 46 | Year: 2019 | First page: 2093 | Last page: 2102 | doi: 10.1029/2019GL081967

    Publication