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First 1526 results for ” C Betgen”

1. Intercomparison of SCIAMACHY nitrogen dioxide observations, in situ measurements and air quality modeling results over Western Europe

   The Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY) satellite sp...

   N Blond, KF Boersma, HJ Eskes, RJ van der A, M Van Roozendael, I De Smedt, G Bergametti, R Vautard | Status: published | Journal: J. Geophys. Res. | Volume: 112 | Year: 2007 | doi: 10.1029/2006JD007277

   Publication

2. Time series transformation tool: development and use in CCsP projects

   Parallel to the development of the KNMI’06 climate scenarios in 2006, a tool was developed to gen...

   J Bessembinder, A Bakker, R Leander, A Feijt | Year: 2011

   Publication

3. EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product

   We present the evaluation activity of the European Aerosol Research Lidar Network (EARLINET) for ...

   E Proestakis, V Amiridis, I Binietoglou, E Marinoe, A Ansmann, U Wandinger, J Hofer, J Yorks, E Nowottnick, A Makhmudov, A Papayannis, A Pietruczuk, A Galitaki, A Apituley | Status: published | Journal: Atm. Chem. Phys. | Year: 2019 | doi: https://doi.org/10.5194/acp-19-11743-2019

   Publication

4. Field calibration of electrochemical NO2 sensors in a citizen science context

   In many urban areas the population is exposed to elevated levels of air pollution. However, real-...

   B Mijling, Q Jiang, D de Jonge, S Bocconi | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 1297 | Last page: 1312 | doi: 10.5194/amt-11-1297-2018

   Publication

5. Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations

   Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere (TOA) r...

   L She, H Zhang, Z Li, G de Leeuw, B Huang | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 19 | doi: doi:10.3390/rs12244125

   Publication