TY - JOUR
T1 - Extreme wet and dry conditions affected differently by greenhouse gases and aerosols
AU - Sillmann, Jana
AU - Stjern, Camilla W.
AU - Myhre, Gunnar
AU - Samset, Bjørn H.
AU - Hodnebrog, Øivind
AU - Andrews, Timothy
AU - Boucher, Olivier
AU - Faluvegi, Gregory
AU - Forster, Piers
AU - Kasoar, Matthew R.
AU - Kharin, Viatcheslav V.
AU - Kirkevåg, Alf
AU - Lamarque, Jean Francois
AU - Olivié, Dirk J.L.
AU - Richardson, Thomas B.
AU - Shindell, Drew
AU - Takemura, Toshihiko
AU - Voulgarakis, Apostolos
AU - Zwiers, Francis W.
N1 - Funding Information:
O.B. acknowledges HPC resources from TGCC under the gencmip6 allocation provided by GENCI (Grand Equipement National de Calcul Intensif). J.S., C.W.S., G.M., Ø.H., and B.H.S. are supported by the projects NAPEX (grant no. 229778) and SUPER (grant no. 250573) funded by the Norwegian Research Council. T.A. was supported by the Met Office Hadley Centre Climate Programme funded by BEIS and Defra. A.V. and M.R.K. were supported by the Natural Environment Research Council (grant NE/ K500872/1). T.B.R. was supported by a NERC CASE award NE/K007483/1 in collaboration with the Met Office and NERC grant NE/N006038/1. Simulations with HadGEM3-GA4 were performed using the MONSooN system, a collaborative facility supplied under the Joint Weather and Climate Research Programme, which is a strategic partnership between the Met Office and the Natural Environment Research Council. Climate modeling at GISS is supported by the NASA Modeling, Analysis and Prediction program. GISS simulations used resources provided by the NASA High-End Computing Program through the NASA Center for Climate Simulation at Goddard Space Flight Center.
Publisher Copyright:
© 2019, The Author(s).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Global warming due to greenhouse gases and atmospheric aerosols alter precipitation rates, but the influence on extreme precipitation by aerosols relative to greenhouse gases is still not well known. Here we use the simulations from the Precipitation Driver and Response Model Intercomparison Project that enable us to compare changes in mean and extreme precipitation due to greenhouse gases with those due to black carbon and sulfate aerosols, using indicators for dry extremes as well as for moderate and very extreme precipitation. Generally, we find that the more extreme a precipitation event is, the more pronounced is its response relative to global mean surface temperature change, both for aerosol and greenhouse gas changes. Black carbon (BC) stands out with distinct behavior and large differences between individual models. Dry days become more frequent with BC-induced warming compared to greenhouse gases, but so does the intensity and frequency of extreme precipitation. An increase in sulfate aerosols cools the surface and thereby the atmosphere, and thus induces a reduction in precipitation with a stronger effect on extreme than on mean precipitation. A better understanding and representation of these processes in models will provide knowledge for developing strategies for both climate change and air pollution mitigation.
AB - Global warming due to greenhouse gases and atmospheric aerosols alter precipitation rates, but the influence on extreme precipitation by aerosols relative to greenhouse gases is still not well known. Here we use the simulations from the Precipitation Driver and Response Model Intercomparison Project that enable us to compare changes in mean and extreme precipitation due to greenhouse gases with those due to black carbon and sulfate aerosols, using indicators for dry extremes as well as for moderate and very extreme precipitation. Generally, we find that the more extreme a precipitation event is, the more pronounced is its response relative to global mean surface temperature change, both for aerosol and greenhouse gas changes. Black carbon (BC) stands out with distinct behavior and large differences between individual models. Dry days become more frequent with BC-induced warming compared to greenhouse gases, but so does the intensity and frequency of extreme precipitation. An increase in sulfate aerosols cools the surface and thereby the atmosphere, and thus induces a reduction in precipitation with a stronger effect on extreme than on mean precipitation. A better understanding and representation of these processes in models will provide knowledge for developing strategies for both climate change and air pollution mitigation.
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U2 - 10.1038/s41612-019-0079-3
DO - 10.1038/s41612-019-0079-3
M3 - Article
AN - SCOPUS:85085029972
SN - 2397-3722
VL - 2
JO - npj Climate and Atmospheric Science
JF - npj Climate and Atmospheric Science
IS - 1
M1 - 24
ER -