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First 823 results for ” JW Hovenier”

  1. EARLINET Single Calculus Chain for Automatic Lidar Data Processing: First Tests on Optical Products

    Within the EARLINET-ASOS (European Aerosol Re- search Lidar Network - Advanced Sustainable Observ...

    G d'Amico, I Binietoglou, A Amodeo, G Pappalardo, H Baars, R Engelmann, V Freudenthaler, D Nicolae, A Chaikovsky, A Apituley, M Adam | Conference: 26th International Laser Radar Conference | Place: Porto Heli, Greece | Year: 2012 | First page: 331 | Last page: 334

    Publication

  2. The impact of Aeolus wind retrievals on ECMWF global weather forecasts

    Aeolus is the world’s first spaceborne Doppler Wind Lidar, providing profiles of horizontal line-...

    Michael P. Rennie, Lars Isaksen, Fabian Weiler, Jos de Kloe, Thomas Kanitz, Oliver Reitebuch. | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 147(740) | Year: 2021 | First page: 3555 | Last page: 3586 | doi: 10.1002/qj.4142

    Publication

  3. Aeolus Rayleigh-channel winds in cloudy conditions

    Aeolus carried the first Doppler wind lidar to measure wind profiles from space. Aeolus was a Eur...

    Gert-Jan Marseille, Jos de Kloe, Alain Dabas, Thomas Flament, Michael Rennie | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 149 | Year: 2023 | First page: 3270 | Last page: 3289 | doi: https://doi.org/10.1002/qj.4555

    Publication

  4. SHAPEness: A SHACL-Driven Metadata Editor

    The Shapes Constraint Language (SHACL) has been recently introduced as a W3C recommendation to de...

    Rossana Paciello, Luca Trani, Daniele Bailo, Valerio Vinciarelli and Manuela Sbarra | Journal: Communications in Computer and Information Science | Volume: 1789 | Year: 2023 | doi: https://doi.org/10.1007/978-3-031-39141-5_23

    Publication

  5. SWIRRL. Managing Provenance-aware and Reproducible Workspaces

    Modern interactive tools for data analysis and visualisation are designed to expose their functio...

    Alessandro Spinuso, Mats Veldhuizen, Daniele Bailo, Valerio Vinciarelli, Tor Langeland | Journal: Data Intelligence | Year: 2022 | doi: https://doi.org/10.1162/dint_a_00129

    Publication