Articles | Volume 16, issue 21
https://doi.org/10.5194/gmd-16-6413-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-6413-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data
Angel Liduvino Vara-Vela
CORRESPONDING AUTHOR
Department of Geoscience, Aarhus University, 8000 Aarhus, Denmark
Department of Physics and Astronomy, Aarhus University, 8000 Aarhus, Denmark
iCLIMATE Aarhus University Interdisciplinary Centre for Climate Change, Aarhus University, 4000 Roskilde, Denmark
Christoffer Karoff
Department of Geoscience, Aarhus University, 8000 Aarhus, Denmark
Department of Physics and Astronomy, Aarhus University, 8000 Aarhus, Denmark
iCLIMATE Aarhus University Interdisciplinary Centre for Climate Change, Aarhus University, 4000 Roskilde, Denmark
Noelia Rojas Benavente
Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
Janaina P. Nascimento
NOAA ESRL Global Systems Laboratory, Boulder, United States
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, United States
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This study addresses uncertainties in atmospheric models by analyzing CO2 dynamics in a complex urban environment characterized by a dense population and tropical vegetation. High-accuracy sensors were deployed, and the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) was utilized to simulate CO2 transport, capturing variations and assessing contributions from both anthropogenic and biogenic sources.
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The Amazon wet-season atmosphere was studied at the Amazon Tall Tower Observatory site, revealing vertical variations (between 60 and 325 m) in natural aerosols. Daytime mixing contrasted with nighttime stratification, with distinct rain-induced changes in aerosol populations. Notably, optical property recovery at higher levels was faster, while near-canopy aerosols showed higher scattering efficiency. These findings enhance our understanding of aerosol impacts on climate dynamics.
Stergios Misios, Ioannis Logothetis, Mads F. Knudsen, Christoffer Karoff, Vassilis Amiridis, and Kleareti Tourpali
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We investigate the impact of strong volcanic eruptions on the northerly Etesian winds blowing in the eastern Mediterranean. Μodel simulations of the last millennium demonstrate a robust reduction in the total number of days with Etesian winds in the post-eruption summers. The decline in the Etesian winds is attributed to a weakened Indian summer monsoon in the post-eruption summer. These findings could improve seasonal predictions of the wind circulation in the eastern Mediterranean.
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Short summary
A 1-year simulation of atmospheric CH4 over Europe is performed and evaluated against observations based on the TROPOspheric Monitoring Instrument (TROPOMI). A good general model–observation agreement is found, with discrepancies reaching their minimum and maximum values during the summer peak season and winter months, respectively. A huge and under-explored potential for CH4 inverse modeling using improved TROPOMI XCH4 data sets in large-scale applications is identified.
A 1-year simulation of atmospheric CH4 over Europe is performed and evaluated against...