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First 609 results for ” B Koffi”

  1. Bayesian Sea Ice Detection With the ERS Scatterometer and Sea Ice Backscatter Model at C-Band

    This paper describes the adaptation of a Bayesian sea ice detection algorithm for the scatteromet...

    Inès Otosaka, Maria Belmonte Rivas, Ad Stoffelen | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 56 | Year: 2018 | doi: https://doi.org/10.1109/TGRS.2017.2777670

    Publication

  2. Bayesian Algorithm for Rain Detection in Ku-Band Scatterometer Data

    Ku-band scatterometers are sensitive to rain effects due to their centimeter-scale radar waveleng...

    Zhao, K., A. Stoffelen, J. Verspeek, A. Verhoef and C. Zhao | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 61 | Year: 2023 | doi: 10.1109/TGRS.2023.3264245

    Publication

  3. A Conceptual Rain Effect Model for Ku-band Scatterometers

    Satellite scatterometer wind retrieval is affected by rain. Both the precipitating clouds in the ...

    Zhao, K., A. Stoffelen, J. Verspeek, A. Verhoef and C. Zhao | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 61 | Year: 2023 | doi: 10.1109/TGRS.2023.3264246

    Publication

  4. Evaluating and Extending the Ocean Wind Climate Data Record

    Satellite sensors have been systematically measuring near-surface ocean winds for nearly 30 years...

    F Wentz, D Long, M Bourassa, E Rodriguez, And many others from, R Hoffman, L O'Neill, L Ricciardulli, DK Smith, A Stoffelen, A Verhoef, D Vandemark, T Farrar | Journal: Int. Ocean Vector Wind Science Team (IOVWST) | Year: 2016 | doi: mdc.coaps.fsu.edu/scatterometry/meeting/past.php

    Publication

  5. Assimilation of GNSS reflectometry delay-Doppler maps with a two-dimensional variational analysis of global ocean surface winds

    Direct remote-sensing observations (e.g., radar backscatter, radiometer brightness temperature, o...

    Feixiong Huang, James L Garrison, S Mark Leidner, Giuseppe Grieco, Ad Stoffelen, Bachir Annane, Ross N Hoffman | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 147 | Year: 2021 | doi: https://doi.org/10.1002/qj.4034

    Publication