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First 3099 results for ” P Formenti”

  1. Estimating trends and the current climate mean in a changing climate

    Describing the climate evolution using trend lines and estimating the current climate mean (CCM) ...

    Scherrer, S. C., de Valk, C., Begert, M., Gubler, S., Kotlarski, S., & Croci-Maspoli, M. | Journal: Climate Services | Volume: 33 | Year: 2024 | doi: https://doi.org/10.1016/j.cliser.2023.100428

    Publication

  2. A perfect model study on the reliability of the added small-scale information in regional climate change projections

    he issue of the added value (AV) of high resolution regional climate models is complex and still ...

    Lenderink, Geert, de Vries, Hylke, van Meijgaard, Erik, van der Wiel, Karin and Selten, Frank | Journal: Climate Dynamics | Volume: 60 | Year: 2023 | First page: 2563 | Last page: 2579 | doi: 10.1007/s00382-022-06451-6

    Publication

  3. Hurricane eye morphology extraction from SAR images by texture analysis

    Tropical hurricanes are among the most devastating hazards on Earth. Knowledge about its intense ...

    Weicheng Ni, Ad Stoffelen, Kaijun Ren | Journal: Frontiers of Earth Science | Volume: 16 | Year: 2022 | doi: https://doi.org/10.1007/s11707-021-0886-9

    Publication

  4. Validation of New Sea Surface Wind Products From Scatterometers Onboard the HY-2B and MetOp-C Satellites

    The new Ku-band scatterometer (HSCAT-B) onboard the HY-2B satellite was launched on October 25, 2...

    Zhixiong Wang, Ad Stoffelen, Juhong Zou, Wenming Lin, Anton Verhoef, Yi Zhang, Yijun He, Mingsen Lin | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 58 | Year: 2020 | doi: https://doi.org/10.1109/TGRS.2019.2963690

    Publication

  5. Improvements in Ku-band scatterometer wind ambiguity removal using ASCAT-based empirical background error correlations

    Wind scatterometry is an established technique for accurately measuring wind vectors over the wor...

    Jur Vogelzang, Ad Stoffelen | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 144 | Year: 2018 | doi: https://doi.org/10.1002/qj.3349

    Publication