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First 629 results for ” Zhixiong Wang ”

  1. Towards Consistent Wind Observations from C- and KU-Band Scatterometers

    In the context of the ocean surface vector wind virtual constellation, the combined wind products...

    Wenming Lin, Marcos Portabella, Sirui Lv, Ad Stoffelen, Zhixiong Wang | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9553944

    Publication

  2. Validation of the NSCAT-5 Geophysical Model Function for Scatsat-1 Wind Scatterometer

    Recent developments on the wind geophysical model function (GMF) of Ku-band scatterometers includ...

    Wenming Lin, Marcos Portabella, Ad Stoffelen, Anton Verhoef, Zhixiong Wang | Journal: IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium | Year: 2018 | doi: https://doi.org/10.1109/IGARSS.2018.8517739

    Publication

  3. Validation of the SST-dependent Ku-band geophysical model function for SCATSAT-1 scatterometer

    Validation of the SST-dependent Ku-band geophysical model function for SCATSAT-1 scatterometer | ...

    Wenming Lin, Marcos Portabella, Ad Stoffelen, Anton Verhoef, Zhixiong Wang | Journal: EUMETSAT | Year: 2018 | doi: http://hdl.handle.net/10261/178419

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  4. Higher-order calibration on WindRAD (Wind Radar) scatterometer winds

    WindRAD (Wind Radar) is a dual-frequency rotating fan-beam scatterometer instrument on the FY-3E ...

    Zhen Li, Ad Stoffelen, Anton Verhoef, Zhixiong Wang, Jian Shang, Honggang Yin | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 4769 | Last page: 4783 | doi: https://doi.org/10.5194/amt-16-4769-2023

    Publication

  5. SST Dependence of Ku- and C-Band Backscatter Measurements

    The normalized radar cross section (NRCS) measured by satellite ocean radar systems is representa...

    Zhixiong Wang, Ad Stoffelen, Franco Fois, Anton Verhoef, Chaofang Zhao, Mingsen Lin, Ge Chen | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 10 | Year: 2017 | doi: https://doi.org/10.1109/JSTARS.2016.2600749

    Publication