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Current and future global climate impacts resulting from COVID-19
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Cites
XGBoost: A Scalable Tree Boosting System
Chen, T., & Guestrin, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2939672.2939785 · Cited by 54,569
XGBoost: A Scalable Tree Boosting System
Chen, T., & Guestrin, C. (2016) · arXiv · doi:10.48550/arxiv.1603.02754 · Cited by 7,104
Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period
Kissler, S. M., Tedijanto, C., Goldstein, E., Grad, Y. H., & Lipsitch, M. (2020) · Science · doi:10.1126/science.abb5793 · Cited by 2,611
Temporary reduction in daily global CO2 emissions during the covid-19 forced confinement
Le Quéré, C., Jackson, R. B., Jones, M. W., Smith, A. J. P., Abernethy, S., Andrew, R. M., De-Gol, A. J., Willis, D. R., Shan, Y., Canadell, J. G., et al. (2020) · Nature Climate Change · doi:10.1038/s41558-020-0797-x · Cited by 2,258
Hoesly, R. M., Smith, S. J., Feng, L., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J. J., Vu, L., Andres, R. J., Bolt, R. M., et al. (2018) · Geoscientific Model Development · doi:10.5194/gmd-11-369-2018 · Cited by 2,203
Scenarios towards limiting global mean temperature increase below 1.5 °C
Rogelj, J., Popp, A., Calvin, K. V., Luderer, G., Emmerling, J., Gernaat, D., Fujimori, S., Strefler, J., Hasegawa, T., Marangoni, G., et al. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0091-3 · Cited by 1,341
Self-citationCoverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends
Cowtan, K., & Way, R. G. (2014) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.2297 · Cited by 645
Abrupt decline in tropospheric nitrogen dioxide over China after the outbreak of COVID-19
Liu, F., Page, A., Strode, S. A., Yoshida, Y., Choi, S., Zheng, B., Lamsal, L. N., Li, C., Krotkov, N. A., Eskes, H., et al. (2020) · Science Advances · doi:10.1126/sciadv.abc2992 · Cited by 348
Compound climate risks in the COVID-19 pandemic
Phillips, C. A., Caldas, A., Cleetus, R., Dahl, K. A., Declet-Barreto, J., Licker, R., Merner, L. D., Ortiz-Partida, J. P., Phelan, A. L., Spanger-Siegfried, E., et al. (2020) · Nature Climate Change · doi:10.1038/s41558-020-0804-2 · Cited by 301
Understanding the origin of Paris Agreement emission uncertainties
Rogelj, J., Fricko, O., Meinshausen, M., Krey, V., Zilliacus, J. J. J., & Riahi, K. (2017) · Nature Communications · doi:10.1038/ncomms15748 · Cited by 130
Self-citation
Research works printed but not linked: 27
- Liu, Z. et al. COVID-19 causes record decline in global CO2 emissions. Preprint at http://arxiv.org/abs/2004.13614 (2020). · arXiv
- Bauwens, M. et al. Impact of coronavirus outbreak on NO2 pollution assessed using TROPOMI and OMI observations. Geophys. Res. Lett. 47, e2020GL087978 (2020). · DOI · Paper page
- Shi, X. & Brasseur, G. P. The response in air quality to the reduction of Chinese economic activities during the COVID-19 outbreak. Geophys. Res. Lett. 47, e2020GL088070 (2020). · DOI · Paper page
- Zhang, R. et al. NOx emission reduction and recovery during COVID-19 in East China. Atmosphere 11, 433 (2020). · DOI · Paper page
- Friedlingstein, P. et al. Global carbon budget 2019. Earth Syst. Sci. Data 11, 1783–1838 (2019). · DOI · Paper page
- Operating System Market Share Worldwide (StatCounter Global Stats, accessed 24 May 2020); https://gs.statcounter.com/os-market-share#quarterly-201903-201903-map
- Crippa, M. et al. High resolution temporal profiles in the emissions database for global atmospheric research. Sci. Data 7, 1–17 (2020). · DOI · Paper page
- Jones, C. D. et al. Simulating the earth system response to negative emissions. Environ. Res. Lett. 11, 95012 (2016). · DOI · Paper page
- Le, T. et al. Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China. Science https://doi.org/10.1126/science.abb7431 (2020). · DOI · Paper page
- Grange, S. K. & Carslaw, D. C. Using meteorological normalisation to detect interventions in air quality time series. Sci. Total Environ. 653, 578–588 (2019). · DOI · Paper page
- Smith, C. J. et al. FAIR v1.3: a simple emissions-based impulse response and carbon cycle model. Geosci. Model Dev. 11, 2273–2297 (2018). · DOI · Paper page
- Luo, F. et al. Projected near-term changes of temperature extremes in Europe and China under different aerosol emissions. Environ. Res. Lett. 15, 034013 (2020). · DOI
- Samset, B. H. et al. Climate impacts from a removal of anthropogenic aerosol emissions. Geophys. Res. Lett. 45, 1020–1029 (2018). · DOI · Paper page
- Dentener, F. et al. Lower air pollution during COVID-19 lock-down: improving models and methods estimating ozone impacts on crops. Preprint at https://eartharxiv.org/de9fs/ (2020). · DOI
- Turnock, S. T. et al. The impact of future emission policies on tropospheric ozone using a parameterised approach. Atmos. Chem. Phys. 18, 8953–8978 (2018). · DOI
- Turnock, S. T., Wild, O., Sellar, A. & O’Connor, F. M. 300 years of tropospheric ozone changes using CMIP6 scenarios with a parameterised approach. Atmos. Environ. 213, 686–698 (2019). · DOI
- Shindell, D. & Smith, C. J. Climate and air-quality benefits of a realistic phase-out of fossil fuels. Nature 573, 408–411 (2019). · DOI · Paper page
- Lamboll, R. D. et al. Silicone v1.0.0: an open-source Python package for inferring missing emissions data for climate change research (Geoscientific Model Development, 2020); https://doi.org/10.5194/gmd-2020-138 · doi:10.5194/gmd-2020-138
- Fricko, O. et al. The marker quantification of the Shared Socioeconomic Pathway 2: a middle-of-the-road scenario for the 21st century. Glob. Environ. Change 42, 251–267 (2017). · DOI · Paper page
- van Vuuren, D. P. et al. Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm. Glob. Environ. Change 42, 237–250 (2017). · DOI · Paper page
- Hu, L. et al. Global simulation of tropospheric chemistry at 12.5 km resolution: performance and evaluation of the GEOS-Chem chemical module (v10-1) within the NASA GEOS Earth system model (GEOS-5 ESM). Geosci. Model Dev. 11, 4603–4620 (2018). · DOI
- Janssens-Maenhout, G. et al. HTAP_v2.2: a mosaic of regional and global emission grid maps for 2008 and 2010 to study hemispheric transport of air pollution. Atmos. Chem. Phys. 15, 11411–11432 (2015). · DOI · Paper page
- Myhre, G. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) 659–740 (Cambridge Univ. Press, 2013). https://doi.org/10.1017/CBO9781107415324.018 · DOI · Paper page
- Geoffroy, O. et al. Transient climate response in a two-layer energy-balance model. Part I: Analytical solution and parameter calibration using CMIP5 AOGCM experiments. J. Clim. 26, 1841–1857 (2013). · DOI · Paper page
- Geoffroy, O. et al. Transient climate response in a two-layer energy-balance model. Part II: Representation of the efficacy of deep-ocean heat uptake and validation for CMIP5 AOGCMs. J. Clim. 26, 1859–1876 (2013). · DOI · Paper page
- Richardson, M., Cowtan, K., Hawkins, E. & Stolpe, M. B. Reconciled climate response estimates from climate models and the energy budget of Earth. Nat. Clim. Change 6, 931–935 (2016). · DOI
- Knutti, R. et al. A climate model projection weighting scheme accounting for performance and interdependence. Geophys. Res. Lett. 44, 1909–1918 (2017). · DOI · Paper page
Cited by
Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Hauck, J., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Sitch, S., et al. (2020) · Earth System Science Data · doi:10.5194/essd-12-3269-2020 · Cited by 2,544
Self-citationScattering and absorbing aerosols in the climate system
Li, J., Carlson, B. E., Yung, Y. L., Lv, D., Hansen, J., Penner, J. E., Liao, H., Ramaswamy, V., Kahn, R. A., Zhang, P., et al. (2022) · Nature Reviews Earth & Environment · doi:10.1038/s43017-022-00296-7 · Cited by 561
Soil carbon sequestration by root exudates
Panchal, P., Preece, C., Peñuelas, J., & Giri, J. (2022) · Trends in Plant Science · doi:10.1016/j.tplants.2022.04.009 · Cited by 451
Forster, P. M., Smith, C. J., Walsh, T., Lamb, W. F., Lamboll, R., Hauser, M., Ribes, A., Rosen, D., Gillett, N., Palmer, M. D., et al. (2023) · Earth System Science Data · doi:10.5194/essd-15-2295-2023 · Cited by 366
Self-citationChanges in China's anthropogenic emissions and air quality during the COVID-19 pandemic in 2020
Zheng, B., Zhang, Q., Geng, G., Chen, C., Shi, Q., Cui, M., Lei, Y., & He, K. (2021) · Earth System Science Data · doi:10.5194/essd-13-2895-2021 · Cited by 363
Metadata
- Authors
- Forster, P. M., Forster, H. I., Evans, M. J., Gidden, M. J., Jones, C. D., Keller, C. A., Lamboll, R. D., Quéré, C. L., Rogelj, J., Rosen, D., Schleussner, C.-F., Richardson, T. B., Smith, C. J., & Turnock, S. T.
- Venue
- Nature Climate Change
- Published
- 2020-08-07
- Volume
- 10
- Issue
- 10
- Pages
- 913-919
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W3048190739
- Cited by
- 686
- References
- 10
- FWCI
- 50.64
- Type
- journal article
- Language
- en
- Update notices
- correction (2020-08-14)
- Open access
- bronze
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
- Funders
- EC | Horizon 2020 Framework Programme (820829, 641816)
- RCUK | Natural Environment Research Council (NE/N006038/1)
- Royal Society (RP\R1\191063)
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- CoChat. (2026). Citation check: Current and future global climate impacts resulting from COVID-19. https://app.cochat.ai/papers/10.1038/s41558-020-0883-0
- The paper
- Forster, P. M., Forster, H. I., Evans, M. J., Gidden, M. J., Jones, C. D., Keller, C. A., Lamboll, R. D., Quéré, C. L., Rogelj, J., Rosen, D., Schleussner, C.-F., Richardson, T. B., Smith, C. J., & Turnock, S. T. (2020). Current and future global climate impacts resulting from COVID-19. Nature Climate Change. https://doi.org/10.1038/s41558-020-0883-0
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