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Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic

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  • معلومة اضافية
    • Contributors:
      Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC-CNS); TNO Climate, Air and Sustainability Utrecht; The Netherlands Organisation for Applied Scientific Research (TNO); Laboratoire d'aérologie (LAERO); Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3); Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP); Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS); Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE); Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)); Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA); Tsinghua University Beijing (THU); Grantham Institute for Climate Change and the Environment; Imperial College London; Umweltbundesamt GmbH = Environment Agency Austria
    • بيانات النشر:
      CCSD
      European Geosciences Union
    • الموضوع:
      2023
    • Collection:
      HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives)
    • نبذة مختصرة :
      International audience ; The 2020 COVID-19 crisis caused an unprecedented drop in anthropogenic emissions of air pollutants and greenhouse gases. Given that emissions estimates from official national inventories for the year 2020 were not reported until 2 years later, new and non-traditional datasets to estimate near-real-time emissions became particularly relevant and widely used in international monitoring and modelling activities during the pandemic. This study investigates the impact of the COVID-19 pandemic on 2020 European (the 27 EU member states and the UK) emissions by comparing a selection of such near-real-time emission estimates, with the official inventories that were subsequently reported in 2022 under the Convention on Long-Range Transboundary Air Pollution (CLRTAP) and the United Nations Framework Convention on Climate Change (UNFCCC). Results indicate that annual changes in total 2020 emissions reported by official and near-real-time estimates are fairly in line for most of the chemical species, with NO x and fossil fuel CO 2 being reported as the ones that experienced the largest reduction in Europe in all cases. However, large discrepancies arise between the official and non-official datasets when comparing annual results at the sector and country level, indicating that caution should be exercised when estimating changes in emissions using specific near-real-time activity datasets, such as time mobility data derived from smartphones. The main examples of these differences are observed for the manufacturing industry NO x (relative changes ranging between −21.4 % and −5.4 %) and road transport CO 2 (relative changes ranging between −29.3 % and −5.6 %) total European emissions. Additionally, significant discrepancies are observed between the quarterly and monthly distribution of emissions drops reported by the various near-real-time inventories, with differences of up to a factor of 1.5 for total NO x during April 2020, when restrictions were at their maximum. For residential combustion, shipping ...
    • الرقم المعرف:
      10.5194/acp-23-8081-2023
    • الدخول الالكتروني :
      https://hal.science/hal-04172421
      https://hal.science/hal-04172421v1/document
      https://hal.science/hal-04172421v1/file/acp-23-8081-2023.pdf
      https://doi.org/10.5194/acp-23-8081-2023
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.C41DCFA1