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Extreme precipitation in China contributed by emissions reductions during COVID-19

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Français : a) Distribution spatiale des anomalies du taux moyen de précipitations observées de juin à juillet (JJ) (en mm/jour) sur la Chine en 2020 par rapport à la période historique de 1979 à 2019.
b) Série chronologique du taux de précipitation moyen JJ observé (mm/jour) dans l'est de la Chine, marqué par la boite rouge (27–34 ° N, 105–121 ° E) en a. La ligne pointillée noire marque le taux de précipitation moyen JJ pour 1979-2019, et la barre rouge correspond à 2020. Ces observations proviennent du Global Precipitation Climatology Project (GPCP).
Répartition spatiale des changements pluviométriques en juin-juillet (JJ), en mm/jour, pour les expériences c avec les réductions forcées (par le contexte anti-COVID-19) des émissions d'aérosols et de taux de gaz à effet de serre (GES) (appelées Covid_All) et d avec des réductions d'émissions d'aérosols seules (appelées Covid_Aero ), par rapport à l'expérience de simulation sans réduction des émissions (appelée référence). Les différences entre Covid_All et la normale sont appelées "Aerosol + GHG" et les différences entre Covid_Aerosol et la normale sont appelées "Aerosol". Les zones pointillées en c et d indiquent des différences statistiquement significatives au niveau de confiance de 90 % (two-tailed Student’s t-test)
English: a Spatial distribution of observed anomalies of June–July (JJ) mean precipitation rate (mm/day) over China in 2020 relative to the historical period of 1979–2019. b Time series of observed JJ mean precipitation rate (mm/day) in eastern China, marked by the red box (27–34°N, 105–121°E) in a. The black dashed line marks the JJ mean precipitation rate during 1979–2019, and the red bar is for 2020. The observations are obtained from the Global Precipitation Climatology Project (GPCP). Spatial distribution of changes in JJ precipitation rate (mm/day) for experiments c with COVID-19 forced reductions in aerosol emissions and greenhouse gases (GHGs) concentrations (referred to as Covid_All) and d with aerosol emission reductions alone (referred to as Covid_Aero), compared to the simulation experiment without emissions reductions (referred to as Baseline). The differences between Covid_All and Baseline are referred to “Aerosol+GHG” and the differences between Covid_Aerosol and Baseline are referred to “Aerosol”. The stippled areas in c and d indicate statistically significant differences at the 90% confidence level based on a two-tailed Student’s t-test.
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Yang, Y., Ren, L., Wu, M. et al. Abrupt emissions reductions during COVID-19 contributed to record summer rainfall in China. Nat Commun 13, 959 (2022). https://doi.org/10.1038/s41467-022-28537-9

This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.
Author Yang Yang, Lili Ren, Mingxuan Wu, Hailong Wang, Fengfei Song, L. Ruby Leung, Xin Hao, Jiandong Li, Lei Chen, Huimin Li, Liangying Zeng, Yang Zhou, Pinya Wang, Hong Liao, Jing Wang & Zhen-Qiang Zhou

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current21:29, 27 February 2022Thumbnail for version as of 21:29, 27 February 20221,832 × 1,132 (1.04 MB)Lamiot (talk | contribs)Uploaded a work by Yang Yang, Lili Ren, Mingxuan Wu, Hailong Wang, Fengfei Song, L. Ruby Leung, Xin Hao, Jiandong Li, Lei Chen, Huimin Li, Liangying Zeng, Yang Zhou, Pinya Wang, Hong Liao, Jing Wang & Zhen-Qiang Zhou from Yang, Y., Ren, L., Wu, M. et al. Abrupt emissions reductions during COVID-19 contributed to record summer rainfall in China. Nat Commun 13, 959 (2022). https://doi.org/10.1038/s41467-022-28537-9 [https://s100.copyright.com/AppDispatchServlet?title=Abrupt%20emissions%20reduc...

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