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First 1006 results for ” Francisco Ocampo-Torres”

  1. Monitoring and quantifying CO2 emissions of isolated power plants from space,

    Top-down CO2 emission estimates based on satellite observations are of great importance for indep...

    X. Lin R. van der A H. Eskes J. de Laat F. Chevallier P. Ciais Z. Deng Y. Geng X. Song X. Ni D. Huo X. Dou Z. Liu | Journal: Atmospheric Chemistry and Physics | Volume: 23 | Year: 2023 | First page: 6599 | Last page: 6611 | doi: 10.5194/acp-23-6599-2023

    Publication

  2. Regional evaluation of the performance of the global CAMS chemical modeling system over the United States (IFS cycle 47r1)

    The Copernicus Atmosphere Monitoring Service (CAMS) provides routine analyses and forecasts of tr...

    Williams J.E., Huijnen V., Bouarar I., Meziane M., Schreurs T., Pelletier S., Marécal V., Josse B., Flemming J. | Journal: Geoscientific Model Development | Volume: 15 (12) | Year: 2022 | First page: 4657 | Last page: 4687 | doi: 10.5194/gmd-15-4657-2022

    Publication

  3. Restoring the top-of-atmosphere reflectance during solar eclipses: a proof of concept with the UV absorbing aerosol index measured by TROPOMI

    During a solar eclipse the solar irradiance reaching the top of the atmosphere (TOA) is reduced i...

    Trees, V., Wang, P. and Stammes, P | Journal: Atmospheric Chemistry and Physics | Volume: 21 | Year: 2021 | doi: https://doi.org/10.5194/acp-21-8593-2021

    Publication

  4. Aerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectances

    The retrieval of geophysical parameters is increasingly dependent on synergistic use of satellite...

    M. de Graaf, L.G. Tilstra, and P. Stammes | Journal: Atmospheric Measurement Techniques | Volume: 12 | Year: 2019 | doi: https://doi.org/10.5194/amt-12-5119-2019

    Publication

  5. Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models

    Climate change has a large influence on the occurrence of extreme hydrological events. However, r...

    SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108

    Publication