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PreprintCC BY 4.0EGUsphere

Deep learning-based downscaling of PM2.5, NO2 and O3 over Europe across emission-reduction scenarios

  • Anthony Rey-Pommier
  • Enrico Pisoni
  • Maxime Beauchamp
  • Bertrand Bessagnet
  • Alexander de Meij
  • Stefano Zauli-Sajani
  • Philippe Thunis
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@misc{reypommier2026deep,
  title = {{Deep learning-based downscaling of PM2.5, NO2 and O3 over Europe across emission-reduction scenarios}},
  author = {Anthony Rey-Pommier and Enrico Pisoni and Maxime Beauchamp and Bertrand Bessagnet and Alexander de Meij and Stefano Zauli-Sajani and Philippe Thunis},
  howpublished = {EGUsphere},
  year = {2026},
  month = oct,
  doi = {10.5194/egusphere-2026-5777},
  url = {https://doi.org/10.5194/egusphere-2026-5777},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Deep learning-based downscaling of PM2.5, NO2 and O3 over Europe across emission-reduction scenarios
AU  - Anthony Rey-Pommier
AU  - Enrico Pisoni
AU  - Maxime Beauchamp
AU  - Bertrand Bessagnet
AU  - Alexander de Meij
AU  - Stefano Zauli-Sajani
AU  - Philippe Thunis
PY  - 2026
DA  - 2026/10/30
PB  - EGUsphere
DO  - 10.5194/egusphere-2026-5777
UR  - https://doi.org/10.5194/egusphere-2026-5777
ER  -