TY - JOUR
T1 - How aerosols and greenhouse gases influence the diurnal temperature range
AU - W. Stjern, Camilla
AU - Samset, Bjorn H.
AU - Boucher, Olivier
AU - Iversen, Trond
AU - Lamarque, Jean Francois
AU - Myhre, Gunnar
AU - Shindell, Drew
AU - Takemura, Toshihiko
N1 - Funding Information:
Acknowledgements. PDRMIP is partly funded through the Norwegian Research Council project NAPEX (project number 229778). Camilla W. Stjern and Bjørn H. Samset were funded through the Norwegian Research Council project NetBC (project number 244141). Trond Iversen was supported by JSPS KAKENHI (grant no. JP19H05669). Olivier Boucher acknowledges HPC resources from TGCC under the gencmip6 allocation provided by GENCI (Grand Equipement National de Calcul Intensif). The computations and/or simulations were performed using the NN9188K project account, and data were stored and shared on project accounts NS9042K on resources provided by UNINETT Sigma2 – the national infrastructure for high-performance computing and data storage in Norway.
Funding Information:
Financial support. This research has been funded by the Norwe-
Funding Information:
gian Research Council (grant no. 229778 and 244141).
Publisher Copyright:
© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11/12
Y1 - 2020/11/12
N2 - The diurnal temperature range (DTR) (or difference between the maximum and minimum temperature within a day) is one of many climate parameters that affects health, agriculture and society. Understanding how DTR evolves under global warming is therefore crucial. Physically different drivers of climate change, such as greenhouse gases and aerosols, have distinct influences on global and regional climate. Therefore, predicting the future evolution of DTR requires knowledge of the effects of individual climate forcers, as well as of the future emissions mix, in particular in high-emission regions. Using global climate model simulations from the Precipitation Driver and Response Model Intercomparison Project (PDRMIP), we investigate how idealized changes in the atmospheric levels of a greenhouse gas (CO2) and aerosols (black carbon and sulfate) influence DTR (globally and in selected regions). We find broad geographical patterns of annual mean change that are similar between climate drivers, pointing to a generalized response to global warming which is not defined by the individual forcing agents. Seasonal and regional differences, however, are substantial, which highlights the potential importance of local background conditions and feedbacks. While differences in DTR responses among drivers are minor in Europe and North America, there are distinctly different DTR responses to aerosols and greenhouse gas perturbations over India and China, where present aerosol emissions are particularly high. BC induces substantial reductions in DTR, which we attribute to strong modeled BC-induced cloud responses in these regions.
AB - The diurnal temperature range (DTR) (or difference between the maximum and minimum temperature within a day) is one of many climate parameters that affects health, agriculture and society. Understanding how DTR evolves under global warming is therefore crucial. Physically different drivers of climate change, such as greenhouse gases and aerosols, have distinct influences on global and regional climate. Therefore, predicting the future evolution of DTR requires knowledge of the effects of individual climate forcers, as well as of the future emissions mix, in particular in high-emission regions. Using global climate model simulations from the Precipitation Driver and Response Model Intercomparison Project (PDRMIP), we investigate how idealized changes in the atmospheric levels of a greenhouse gas (CO2) and aerosols (black carbon and sulfate) influence DTR (globally and in selected regions). We find broad geographical patterns of annual mean change that are similar between climate drivers, pointing to a generalized response to global warming which is not defined by the individual forcing agents. Seasonal and regional differences, however, are substantial, which highlights the potential importance of local background conditions and feedbacks. While differences in DTR responses among drivers are minor in Europe and North America, there are distinctly different DTR responses to aerosols and greenhouse gas perturbations over India and China, where present aerosol emissions are particularly high. BC induces substantial reductions in DTR, which we attribute to strong modeled BC-induced cloud responses in these regions.
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U2 - 10.5194/acp-20-13467-2020
DO - 10.5194/acp-20-13467-2020
M3 - Article
AN - SCOPUS:85096162926
SN - 1680-7316
VL - 20
SP - 13467
EP - 13480
JO - Atmospheric Chemistry and Physics
JF - Atmospheric Chemistry and Physics
IS - 21
ER -