Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3683-2021
https://doi.org/10.5194/gmd-14-3683-2021
Development and technical paper
 | 
22 Jun 2021
Development and technical paper |  | 22 Jun 2021

Modifying emissions scenario projections to account for the effects of COVID-19: protocol for CovidMIP

Robin D. Lamboll, Chris D. Jones, Ragnhild B. Skeie, Stephanie Fiedler, Bjørn H. Samset, Nathan P. Gillett, Joeri Rogelj, and Piers M. Forster

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Cited articles

Andrijevic, M., Schleussner, C. F., Gidden, M. J., McCollum, D. L., and Rogelj, J.: COVID-19 recovery funds dwarf clean energy investment needs, Science, 370, 298–300, https://doi.org/10.1126/science.abc9697, 2020. a
Bauwens, M., Compernolle, S., Stavrakou, T., Müller, J. F., van Gent, J., Eskes, H., Levelt, P. F., van der A, R., Veefkind, J. P., Vlietinck, J., Yu, H., and Zehner, C.: Impact of Coronavirus Outbreak on NO2 Pollution Assessed Using TROPOMI and OMI Observations, Geophys. Res. Lett., 47, e2020GL087978, https://doi.org/10.1029/2020GL087978, 2020. a
Chen, C.-C. and Gettelman, A.: Simulated 2050 aviation radiative forcing from contrails and aerosols, Atmos. Chem. Phys., 16, 7317–7333, https://doi.org/10.5194/acp-16-7317-2016, 2016. a
Climate Action Tracker: Climate Action Tracker, available at: https://climateactiontracker.org/, last access: 16 June 2021. a
Daly, D. C.: We have been in lockdown, but deforestation has not, P. Natl. Acad. Sci. USA, 117, 24609–24611, https://doi.org/10.1073/pnas.2018489117, 2020. a, b
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Short summary
Lockdowns to avoid the spread of COVID-19 have created an unprecedented reduction in human emissions. We can estimate the changes in emissions at a country level, but to make predictions about how this will affect our climate, we need more precise information about where the emissions happen. Here we combine older estimates of where emissions normally occur with very recent estimates of sector activity levels to enable different groups to make simulations of the climatic effects of lockdown.
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