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First 898 results for ”Georgoulias”

1. CLAAS-3: the third edition of the CM SAF cloud data record based on SEVIRI observations

   CLAAS-3, the third edition of the Cloud property dAtAset using SEVIRI (Spinning Enhanced Visible ...

   Nikos Benas, Irina Solodovnik, Martin Stengel, Imke Hüser, Karl-Göran Karlsson, Nina Håkansson, Erik Johansson, Salomon Eliasson, Marc Schröder, Rainer Hollmann, and Jan Fokke Meirink | Journal: Earth System Science Data | Volume: 15 | Year: 2023 | First page: 5153 | Last page: 5170 | doi: 10.5194/essd-15-5153-2023

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2. 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

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3. 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

4. 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

5. 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

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