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First 244 results for ”J Beaumet”

  1. Deep ocean sound speed characteristics passively derived from the ambient acoustic noise field

    The propagation of acoustic waves in the ocean strongly depends on the temperature. Low-frequency...

    Evers, Wapenaar, Heaney, Snellen | Status: published | Journal: Geophys. J. Int. | Volume: 210 | Year: 2017 | First page: 27 | Last page: 33 | doi: 10.1093/gji/ggx061

    Publication

  2. Scatterometer Sea Surface Wind Product Validation for HY-2C

    The Chinese HY-2C satellite was launched on Sep. 21, 2020, carrying the new Ku-band scatterometer...

    Zhixiong Wang, Juhong Zou, Ad Stoffelen, Wenming Lin, Anton Verhoef, Xiuzhong Li, Yijun He, Youguang Zhang, Mingsen Lin | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 14 | Year: 2021 | doi: https://doi.org/10.1109/JSTARS.2021.3087742

    Publication

  3. Towards Quikscat-Derived Coastal Winds

    This paper presents the implementation of the Land Contribution Ratio (LCR) methodology for the p...

    Giuseppe Grieco, Marcos Portabella, Ad Stoffelen, Jur Vogelzang, Anton Verhoef | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9554946

    Publication

  4. Wind Retrievalfor Cfoscat Edge and Nadir Observations Based on Neural Networks And Improved Principle Component Analysis

    CFOSCAT is the first rotating fan-beam scatterometer in space. It is on board the China France Oc...

    Xingou Xu, Ad Stoffelen | Journal: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium | Year: 2019 | doi: https://doi.org/10.1109/IGARSS.2019.8898097

    Publication

  5. First Results from the WindRAD Scatterometer on Board FY-3E: Data Analysis, Calibration and Wind Retrieval Evaluation

    FY-3E WindRAD (Fengyun-3E Wind Radar) is a dual-frequency rotating fan-beam scat-terometer. Its d...

    Zhen Li, Anton Verhoef, Ad Stoffelen, Jian Shang, Fangli Dou | Journal: Remote Sensing | Volume: 15 | Year: 2023 | First page: 2087 | doi: https://doi.org/10.3390/rs15082087

    Publication