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First 3429 results for ”P Forster”

  1. Reference-Quality Emission and Backscatter Modeling for the Ocean

    Sixteen members of an International Space Science Institute team—from America, Asia, and Europe a...

    Stephen English, Catherine Prigent, Ben Johnson, Simon Yueh, Emmanuel Dinnat, Jacqueline Boutin, Stuart Newman, Magdalena Anguelova, Thomas Meissner, Masahiro Kazumori, Fuzhong Weng, Alexandre Supply, Lise Kilic, Michael Bettenhausen, Ad Stoffelen, Christophe Accadia | Journal: Bulletin of the American Meteorological Society | Volume: 101 | Year: 2020 | doi: https://doi.org/10.1175/BAMS-D-20-0085.1

    Publication

  2. Rain False-Alarm-Rate Reduction for CSCAT

    In tropical regions, Ku-band scatterometer observations are affected by heavy rain, and affected ...

    Xingou Xu, Ad Stoffelen, Wenming Lin, Xiaolong Dong | Journal: IEEE Geoscience and Remote Sensing Letters | Volume: 19 | Year: 2020 | doi: https://doi.org/10.1109/LGRS.2020.3039622

    Publication

  3. Improved Rain Screening for Ku-Band Wind Scatterometry

    Spaceborne scatterometers for ocean surface winds usually operate in Ku- or C-band. Rather strict...

    Xingou Xu, Ad Stoffelen | Journal: IEEE Transactions on Geoscience and Remote sensing | Volume: 58 | Year: 2019 | doi: https://doi.org/10.1109/TGRS.2019.2951726

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  4. An SST‐dependent K u‐band geophysical model function for R apid S cat

    A new Ku-band geophysical model function (GMF), which includes sea surface temperature (SST) depe...

    Zhixiong Wang, Ad Stoffelen, Chaofang Zhao, Jur Vogelzang, Anton Verhoef, Jeroen Verspeek, Mingsen Lin, Ge Chen | Journal: Journal of Geophysical Research: Oceans | Volume: 122 | Year: 2017 | doi: https://doi.org/10.1002/2016JC012619

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  5. Toward an Improved Wind Inversion Algorithm for RapidScat

    The sea-surface winds from the RapidScat scatterometer (RSCAT) onboard the International Space St...

    Wenming Lin, Marcos Portabella, Ad Stoffelen, Anton Verhoef | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 10 | Year: 2017 | doi: https://doi.org/10.1109/JSTARS.2016.2616889

    Publication