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First 1158 results for ” A Devasthale”

  1. Probabilistic moment tensor inversion for hydrocarbon-induced seismicity in the groningen gas field, the netherlands, part 2: Application

    Recent developments in the densification of the seismic network covering the Groningen gas field ...

    B Dost, A Stiphout, D Kuehn, M Kortekaas, E Ruigrok, S Heimann | Status: published | Journal: Bulletin of the Seismological Society of America | Volume: 110 | Year: 2020 | First page: 2112 | Last page: 2123 | doi: 10.1785/0120200076

    Publication

  2. Trends and trend reversal detection in 2 decades of tropospheric NO2 satellite observations

    In this work, a ∼21-year global dataset from four different satellite sensors with a mid-morning ...

    AK Georgoulias, RJ van der A, P Stammes, KF Boersma, HJ Eskes | Status: published | Journal: Atm. Chem. Phys. | Volume: 19 | Year: 2019 | First page: 6269 | Last page: 6294 | doi: https://doi.org/10.5194/acp-19-6269-2019

    Publication

  3. 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

  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