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First 1452 results for ” Shubha Sathyendranath”

  1. FOAM Emissivity Modelling with Foam Properties Tuned by Frequency and Polarization

    We model the sea foam emissivity at frequencies from 1 to 89 GHz. This model is part of the work ...

    Magdalena D Anguelova, Emmanuel Dinnat, Lise Kilic, Michael H Bettenhausen, Stephen English, Catherine Prigent, Thomas Meissner, Jacqueline Boutin, Stuart Newman, Ben Johnson, Simon Yueh, Masahiro Kazumori, Fuzhong Weng, Ad Stoffelen, Christophe Accadia | Journal: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium | Year: 2022 | doi: https://doi.org/10.1109/IGARSS46834.2022.9883610

    Publication

  2. PARMIO: A Reference Quality Model for Ocean Surface Emissivity and Backscatter from the Microwave to the Infrared

    The need for a community reference quality ocean emission and reflection model for use across a b...

    Emmanuel Dinnat, Stephen English, Catherine Prigent, Lise Kilic, Magdalena Anguelova, Stuart Newman, Thomas Meissner, Jacqueline Boutin, Ad Stoffelen, Simon Yueh, Ben Johnson, Fuzhong Weng , and Carlos Jimenez | Journal: Bulletin of the American Meteorological Society | Year: 2023 | First page: E742 | Last page: E748 | doi: https://doi.org/10.1175/BAMS-D-23-0023.1

    Publication

  3. Numerical studies on the Lorenz-84 atmosphere model

     Numerical studies on the Lorenz-84 atmosphere model

    Leonardo Anastassiades | Year: 1995 | Pages: 64

    Publication

  4. Global variability of simulated and observed vegetation growing season

    D Peano, S Materia, A Collalti, A Alessandri, A Anav, A Bombelli, S Gualdi | Status: published | Journal: J. Geophys. Res. | Year: 2019 | doi: https://doi.org/10.1029/2018JG004881

    Publication

  5. Active Provenance for Data-Intensive Workflows: Engaging Users and Developers

    We present a practical approach for provenance capturing in Data-Intensive workflow systems. It p...

    Alessandro Spinuso | Journal: 15th International Conference on eScience (eScience) | Year: 2019 | doi: 10.1109/eScience.2019.0007

    Publication