Showing 181 - 185 results of 185 for search '"troposphere"', query time: 0.03s Refine Results
  1. 181

    Maximum ozone concentrations in the southwestern US and Texas: implications of the growing predominance of the background contribution by D. D. Parrish, I. C. Faloona, I. C. Faloona, R. G. Derwent

    Published 2025-01-01
    “…Second, the predominant contribution of US background ozone across the southwestern US presents a profound challenge for air quality modeling, as a manifold of stratospheric and tropospheric processes occurring at small spatial scales but over hemisphere-wide distances must be accurately treated in detail to predict present and future background contributions to daily maximum ozone concentrations at local scales.…”
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  2. 182
  3. 183

    Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI by H. Kim, H. Kim, X. Chen, X. Chen, J. Wang, J. Wang, J. Wang, J. Wang, Z. Lu, Z. Lu, Z. Lu, M. Zhou, G. R. Carmichael, G. R. Carmichael, S. S. Park, J. Kim

    Published 2025-01-01
    “…In this study, we evaluate ALH products retrieved using oxygen absorption measurements from multiple satellite platforms: the Geostationary Environment Monitoring Spectrometer (GEMS) focusing on Asia, the Earth Polychromatic Imaging Camera (EPIC) in deep space, and the polar-orbiting TROPOspheric Monitoring Instrument (TROPOMI). We use the extinction-weighted aerosol optical centroid height (AOCH) derived from aerosol extinction profiles of Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) as the ground truth. …”
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  4. 184

    Benchmarking data-driven inversion methods for the estimation of local CO<sub>2</sub> emissions from synthetic satellite images of XCO<sub>2</sub> and NO<sub>2</sub> by D. Santaren, J. Hakkarainen, G. Kuhlmann, E. Koene, F. Chevallier, I. Ialongo, H. Lindqvist, J. Nurmela, J. Tamminen, L. Amorós, D. Brunner, G. Broquet

    Published 2025-01-01
    “…To support the development of the operational processing of satellite imagery of the column-averaged CO<span class="inline-formula"><sub>2</sub></span> dry-air mole fraction (XCO<span class="inline-formula"><sub>2</sub></span>) and tropospheric-column NO<span class="inline-formula"><sub>2</sub></span>, this study evaluates <i>data-driven inversion methods</i>, i.e., computationally light inversion methods that directly process information from satellite images, local winds, and meteorological data, without resorting to computationally expensive dynamical atmospheric transport models. …”
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  5. 185