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First 958 results for ” Vougioukalakis Georgios”

1. Detecting Clouds Associated with Jet Engine Ice Crystal Icing

   In the past two decades, more than 150 jet engine power-loss and damage events have been attribut...

   A.T.J. de Laat | Journal: Bulletin of the American Meteorological Society | Volume: Volume 100: Issue 1 | Year: 2018 | First page: 31 | Last page: 40 | doi: 10.1175/BAMS-D-17-0252.1

   Publication

2. 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

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3. WFCatalog: a catalogue for seismological waveform data

   This paper reports advances in seismic waveform description and discovery leading to a new seismo...

   Luca Trani, Mathijs Koymans, Malcolm Atkinson, Reinoud Sleeman and Rosa Filgueira | Status: submitted | Journal: Computers and Geosciences | Volume: 106 | Year: 2017 | First page: 101 | Last page: 108 | doi: https://doi.org/10.1016/j.cageo.2017.06.008

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4. 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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5. 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

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