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First 838 results for ” C Huntingford”

  1. Comparison of dust-layer heights from active and passive satellite sensors

    Aerosol-layer height is essential for understanding the impact of aerosols on the climate system....

    Kylling, A.; Vandenbussche, S.; Capelle, V.; Cuesta, J.; Klüser, L.; Lelli, L.; Popp, T.; Stebel, K.; Veefkind, P. | Journal: Atmospheric Measurement Techniques | Year: 2018 | doi: https://doi.org/10.5194/amt-11-2911-2018

    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. 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

  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