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First 609 results for ” B Koffi”

  1. Supermodding – A special footprint operator for mesoscale data assimilation using scatterometer winds

    Satellite observation footprints may extend over many grid points of a high-resolution limited-ar...

    Máté Mile, Roger Randriamampianina, Gert-Jan Marseille and Ad Stoffelen | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 147 | Year: 2021 | First page: 1382 | Last page: 1402 | doi: 10.1002/qj.3979

    Publication

  2. Detection of aerosol and cloud features for the EarthCARE atmospheric lidar (ATLID): the ATLID FeatureMask (A-FM) product

    The EarthCARE satellite mission's objective is to retrieve profiles of aerosol and cloud physical...

    Gerd-Jan van Zadelhoff; David P. Donovan; Ping Wang | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 3631 | Last page: 3651 | doi: 10.5194/amt-16-3631-2023

    Publication

  3. Correlating Extremes in Wind Divergence with Extremes in Rain over the Tropical Atlantic

    Air–sea fluxes are greatly enhanced by the winds and vertical exchanges generated by mesoscale co...

    Gregory P King, Marcos Portabella, Wenming Lin, Ad Stoffelen | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: https://doi.org/10.3390/rs14051147

    Publication

  4. Alternative formats, Demonstrated Aeolus Benefits in Atmospheric Sciences

    We highlight some of the scientific benefits of the Aeolus Doppler Wind Lidar mission since its l...

    M Rennie, A Stoffelen, S Khaykin, S Osprey, C Wright, T Banyard, AG Straume, O Reitebuch, I Krisch | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2022 | doi: https://doi.org/10.1109/IGARSS47720.2021.9554267

    Publication

  5. Analysis of Data-Derived SeaWinds Normalized Radar Cross-Section Noise

    The normalized standard deviation (Kp) of the noise that affects scatterometer Normalized Radar C...

    Giuseppe Grieco, Ad Stoffelen, Anton Verhoef, Jur Vogelzang, Marcos Portabella | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: https://doi.org/10.3390/rs14215444

    Publication