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First 621 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

   Publication

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

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