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First 380 results for ” Takigawa M.”

  1. Decision-support for land reclamation location and design choices in the Maldives

    Land reclamation in the Maldives is widespread. Current land reclamation practices, however, lack...

    Thomas van der Pol, Geronimo Gussmann, Jochen Hinkel, Angel Amores, Marta Marcos, Jeremy Rohmer, Erwin Lambert, Alexander Bisaro | Journal: Climate Risk Management | Year: 2023 | doi: 10.1016/j.crm.2023.100514

    Publication

  2. DARCLOS: a cloud shadow detection algorithm for TROPOMI

    Cloud shadows are observed by the TROPOMI satellite instrument as a result of its high spatial re...

    Victor J. H. Trees, Ping Wang, Piet Stammes, Lieuwe G. Tilstra, David P. Donovan, and A. Pier Siebesma | Journal: AMT | Volume: 15 | Year: 2022 | First page: 3121 | Last page: 3140 | doi: https://doi.org/10.5194/amt-15-3121-2022

    Publication

  3. On Dropsonde Surface-Adjusted Winds and Their Use for the Stepped Frequency Microwave Radiometer Wind Speed Calibration

    The airborne stepped frequency microwave radiometer (SFMR) provides the measurements of 10-m ocea...

    Federica Polverari, Joseph W Sapp, Marcos Portabella, Ad Stoffelen, Zorana Jelenak, Paul S Chang | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 60 | Year: 2022 | doi: https://doi.org/10.1109/TGRS.2022.3189310

    Publication

  4. 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

  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