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First 897 results for ” Georgoulias”

  1. TEMIS UV product validation using NILU-UV ground-based measurements in Thessaloniki, Greece

    This study aims to cross-validate ground-based and satellite-based models of three photobiologica...

    Zempila, M.M., Van Geffen, J.H.G.M., Taylor, M., Fountoulakis, I., Koukouli, M.E., Van Weele, M., Van der A, R.J., Bais, A., Meleti, C. and Balis, D | Journal: Atmospheric Chemistry and Physics | Year: 2017 | doi: https://doi.org/10.5194/acp-17-7157-2017

    Publication

  2. A Further Evaluation of the Quality Indicator Joss for Ku-Band Wind Scatterometry in Tropical Regions

    The quality control (QC) indicator Joss proposed in 2020 represents the spatial wind speed differ...

    Xingou Xu, Ad Stoffelen | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9553442

    Publication

  3. Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry

    Wind retrieval parameters, i.e. quality indicators and the two-dimensional variational ambiguity ...

    Xingou Xu, Ad Stoffelen | Journal: Atmospheric Measurement Techniques | Volume: 14 | Year: 2021 | doi: https://doi.org/10.5194/amt-14-7435-2021

    Publication

  4. Improved Rain Screening for Ku-Band Wind Scatterometry

    Spaceborne scatterometers for ocean surface winds usually operate in Ku- or C-band. Rather strict...

    Xingou Xu, Ad Stoffelen | Journal: IEEE Transactions on Geoscience and Remote sensing | Volume: 58 | Year: 2019 | doi: https://doi.org/10.1109/TGRS.2019.2951726

    Publication

  5. 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