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First 2014 results for ” JL Perez Camino”

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. Top-Down NOX Emissions of European Cities Based on the Downwind Plume of Modelled and Space-Borne Tropospheric NO2 Columns

   Top-down estimates of surface NOX emissions were derived for 23 European cities based on the down...

   Verstraeten, Willem W., Klaas Folkert Boersma, John Douros, Jason E. Williams, Henk Eskes, Fei Liu, Steffen Beirle, and Andy Delcloo | Journal: Sensors | Volume: 18, no. 9: 2893 | Year: 2018 | doi: https://doi.org/10.3390/s18092893

   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