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First 439 results for ” K Fragkos”

1. Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece

   The evaluation of chemical transport models, CTMs, is essential for the assessment of their perfo...

   Skoulidou, I., Koukouli, M.-E., Manders, A., Segers, A., Karagkiozidis, D., Gratsea, M., Balis, D., Bais, A., Gerasopoulos, E., Stavrakou, T., van Geffen, J., Eskes, H. and Richter, A | Journal: Atmospheric Chemistry and Physics | Volume: 21 | Year: 2021 | doi: https://doi.org/10.5194/acp-21-5269-2021

   Publication

2. Atmospheric effects of high-flying subsonic aircraft : a catalogue of perturbing influences

   Only recently, the scientific community has become to see air pollution by subsonic aircraft as p...

   W Fransen | Year: 1994 | Pages: 0

   Publication

3. Ground-based validation of EOS-Aura OMI NO2 vertical column data in the midlatitude mountain ranges of Tien Shan (Kyrgyzstan) and Alps (France)

   Ground-based UV-visible instruments for NO2 vertical column measurements have been operating at I...

   D Ionov, YM Timofeyev, VP Sinyakov, VK Semenov, F Goutail, JP Pommereau, EJ Bucsela, EA Celarier, M Kroon | Status: published | Journal: J. Geophys. Res. | Volume: 113 | Year: 2008 | doi: 10.1029/2007JD008659

   Publication

4. Global distribution of effective cloud fraction and cloud top pressure derived from oxygen A band spectra measured by the Global Ozone Monitoring Experment: Comparison to ISCCP data

   Satellite measurements of the Earth's reflected sunlight in the oxygen A band around 761 nm, as m...

   RBA Koelemeijer, P Stammes, JW Hovenier, J de Haan | Status: published | Journal: J. Geophys. Res. | Volume: 107 | Year: 2002 | First page: 4151 | doi: 10.1029/2001JD000840

   Publication

5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

   The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

   X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

   Publication