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First 1306 results for ” REM Neubert”

  1. S-5P/TROPOMI-Derived NOx Emissions From Copper/Cobalt Mining and Other Industrial Activities in the Copperbelt (Democratic Republic of Congo and Zambia)

    abstract

    S. Martínez-Alonso, J. P. Veefkind, B. Dix, B. Gaubert, N. Theys, C. Granier, A. Soulié, S. Darras, H. Eskes, W. Tang, H. Worden, J. de Gouw, P. F. Levelt | Journal: Geophysical Research Letters | Year: 2023 | doi: https://doi.org/10.1029/2023GL104109

    Publication

  2. Decomposing the effective radiative forcing of anthropogenic aerosols based on CMIP6 Earth system models

    Anthropogenic aerosols play a major role in the Earth–atmosphere system by influencing the Earth'...

    A Kalisoras, AK Georgoulias, D Akritidis, RJ Allen, V Naik, C Kuo, S Szopa, P Nabat, D Olivié, T van Noije, P Le Sager, D Neubauer, N Oshima, J Mulcahy, LW Horowitz, P Zanis | Journal: Atmos. Chem. Phys. | Volume: 24 | Year: 2024 | First page: 7837 | Last page: 7872 | doi: 10.5194/acp-24-7837-2024

    Publication

  3. Round-robin evaluation of nadir ozone profile retrievals: methodology and application to MetOp-A GOME-2

    A methodology for the round-robin evaluation and the geophysical validation of ozone profile data...

    A Keppens, JC Lambert, J Granville, G Miles, R Siddans, JCA van Peet, RJ van der A, D Hubert, T Verhoelst, A Delcloo, S Godin-Beekmann, R Kivi, R Stübi, C Zehner | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 8 | Year: 2015 | First page: 2093 | Last page: 2120 | doi: 10.5194/amt-8-2093-2015

    Publication

  4. A climatological benchmark for operational radar rainfall bias reduction

    The presence of significant biases in real-time radar quantitative precipitation estimations (QPE...

    Ruben Imhoff, Claudia Brauer, Klaas-Jan van Heeringen, Hidde Leijnse, Aart Overeem, Albrecht Weerts, Remko Uijlenhoet | Journal: Hydrology and Earth System Sciences | Volume: 25 | Year: 2021 | doi: 10.5194/hess-25-4061-2021

    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