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First 239 results for ” Yanmin Lv”

  1. 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

  2. On the development of a scatterometer-based correction for NWP wind forcing systematic errors: Impact of satellite sampling

    Local systematic differences between scatterometer and global numerical weather prediction (NWP) ...

    Ana Trindade, Marcos Portabella, Wenming Lin, Ad Stoffelen | Journal: IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2017 | doi: https://doi.org/10.1109/IGARSS.2017.8127414

    Publication

  3. On the improvement of ASCAT wind data assimilation in global NWP

    The assimilation of Advanced Scatterometer (ASCAT) winds has proven to be beneficial for the Euro...

    Wenming Lin, Marcos Portabella, Ad Stoffelen, Giovanna De Chiara, Justino Martínez | Journal: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2017 | doi: https://doi.org/10.1109/IGARSS.2017.8126980

    Publication

  4. 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

  5. Toward the generation of a wind geophysical model function for spaceborne GNSS-R

    This paper presents a comprehensive procedure to improve the wind geophysical model function (GMF...

    Wenming Lin, Marcos Portabella, Giuseppe Foti, Ad Stoffelen, Christine Gommenginger, Yijun He | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 57 | Year: 2018 | doi: https://doi.org/10.1109/TGRS.2018.2859191

    Publication