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First 1605 results for ” A Betancourt”

  1. Improving algorithms and uncertainty estimates for satellite NO2 retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project

    Global observations of tropospheric nitrogen dioxide (NO2) columns have been shown to be feasible...

    KF Boersma, HJ Eskes, A Richter, I De Smedt, A Lorente, JHGM van Geffen, M Zara, RJ van der A | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 6651 | Last page: 6678 | doi: https://doi.org/10.5194/amt-11-6651-2018

    Publication

  2. A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation

    Stratosphere-to-troposphere transport (STT) is an important natural source of tropospheric ozone,...

    D Akritidis, E Katragkou, P Zanis, I Pytharoulis, D Melas, J Flemming, A Inness, H Clark, M Plu, H Eskes | Status: published | Journal: Atm. Chem. Phys. | Volume: 18 | Year: 2018 | First page: 15515 | Last page: 15534 | doi: https://doi.org/10.5194/acp-18-15515-2018

    Publication

  3. Modeling spatio-temporal land transformation and its associated impacts on land surface temperature (LST)

    Land use land cover (LULC) of city regions is strongly affected by urbanization and affects the t...

    FY Mumtaz, Y Tao, G de Leeuw, L Zhao, C Fan, A Elnashar, B Bashir, G Wang, LL Li, S Naeem, A Arshad | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 23 | doi: doi:10.3390/rs12182987

    Publication

  4. Satellite Observations of PM2.5 Changes and Driving Factors based Forecasting over China 2000-2025

    In China, atmospheric fine particulate matter (PM2.5) pollution is a challenging environmental pr...

    Y Zhang, Z Li, W Chang, Y Zhang, G de Leeuw, JJ Schauer | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 20 | doi: doi:10.3390/rs12162518

    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