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1. Evaluation of SCIAMACHY Level-1 data versions using nadir ozone profile retrievals in the period 2003–2011,

   Ozone profile retrieval from nadir-viewing satellite instruments operating in the ultraviolet–vis...

   S. Shah O.N.E. Tuinder J. van Peet P. Stammes A.T.J. de Laat | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 2345 | Last page: 2360 | doi: 10.5194/amt-11-2345-2018

   Publication

2. 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

3. 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

4. Bayesian Sea Ice Detection With the ERS Scatterometer and Sea Ice Backscatter Model at C-Band

   This paper describes the adaptation of a Bayesian sea ice detection algorithm for the scatteromet...

   Inès Otosaka, Maria Belmonte Rivas, Ad Stoffelen | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 56 | Year: 2018 | doi: https://doi.org/10.1109/TGRS.2017.2777670

   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

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