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First 1914 results for ” D Perissin”

  1. Sensitivity of liquid cloud optical thickness and effective radius retrievals to cloud bow and glory conditions using two SEVIRI imagers

    Retrievals of cloud properties from geostationary satellite sensors offer extensive spatial and t...

    Benas, N., Meirink, J. F., Stengel, M., and Stammes, P | Journal: Atmospheric Measurement Techniques | Year: 2019 | doi: https://doi.org/10.5194/amt-12-2863-2019

    Publication

  2. The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model

    The Cloud Climate Change Initiative (Cloud_cci) satellite simulator has been developed to enable ...

    Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., andWill´en, U | Journal: Geoscientific Model Development | Year: 2019 | doi: https://doi.org/10.5194/gmd-12-829-2019

    Publication

  3. 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

  4. An SST‐dependent K u‐band geophysical model function for R apid S cat

    A new Ku-band geophysical model function (GMF), which includes sea surface temperature (SST) depe...

    Zhixiong Wang, Ad Stoffelen, Chaofang Zhao, Jur Vogelzang, Anton Verhoef, Jeroen Verspeek, Mingsen Lin, Ge Chen | Journal: Journal of Geophysical Research: Oceans | Volume: 122 | Year: 2017 | doi: https://doi.org/10.1002/2016JC012619

    Publication

  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

    Publication