Articles | Volume 20, issue 5
https://doi.org/10.5194/acp-20-3009-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-3009-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Mar 2020
Research article |
| 12 Mar 2020
| 12 Mar 2020
Local and remote mean and extreme temperature response to regional aerosol emissions reductions
Daniel M. Westervelt
CORRESPONDING AUTHOR
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
Nora R. Mascioli
School of Marine Sciences, University of California San Diego, San Diego, CA, USA
Arlene M. Fiore
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
Department of Earth and Environmental Sciences, Columbia University, Palisades, NY, USA
Andrew J. Conley
National Center for Atmospheric Research, Boulder, CO, USA
Jean-François Lamarque
National Center for Atmospheric Research, Boulder, CO, USA
Drew T. Shindell
Nicholas School of the Environment, Duke University, Durham, NC, USA
Greg Faluvegi
NASA Goddard Institute for Space Studies, New York, NY, USA
Center for Climate Systems Research, Columbia University, New York, NY, USA
Michael Previdi
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
Gustavo Correa
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
Larry W. Horowitz
National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
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- Mapping the dependence of black carbon radiative forcing on emission region and season P. Räisänen et al. 10.5194/acp-22-11579-2022
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- New Potential to Reduce Uncertainty in Regional Climate Projections by Combining Physical and Socio‐Economic Constraints F. Lehner et al. 10.1029/2023AV000887
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- Climate responses in China to domestic and foreign aerosol changes due to clean air actions during 2013–2019 J. Gao et al. 10.1038/s41612-023-00488-y
- On the impossibility of extreme event thresholds in the absence of global warming N. Diffenbaugh & F. Davenport 10.1088/1748-9326/ac2f1a
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- Relative Importance of Greenhouse Gases, Sulfate, Organic Carbon, and Black Carbon Aerosol for South Asian Monsoon Rainfall Changes D. Westervelt et al. 10.1029/2020GL088363
- Assessment of the impact of atmospheric aerosols and meteorological data assimilation on simulation of the weather over India during summer 2015 S. Devaliya et al. 10.1016/j.atmosenv.2023.119586
- Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. 10.5194/gmd-17-2387-2024
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- Aerosol Property Analysis Based on Ground-Based Lidar in Sansha, China D. Kong et al. 10.3390/atmos13091511
- Aerosols must be included in climate risk assessments G. Persad et al. 10.1038/d41586-022-03763-9
- MAIAC AOD profiling over the Persian Gulf: A seasonal-independent machine learning approach M. Pashayi et al. 10.1016/j.apr.2024.102128
- How Asian aerosols impact regional surface temperatures across the globe J. Merikanto et al. 10.5194/acp-21-5865-2021
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Latest update: 10 Dec 2024
Short summary
We use three Earth system models to estimate the impact of regional air pollutant emissions reductions on global and regional surface temperature. We find that removing human-caused air pollutant emissions from certain world regions (such as the USA) results in warming of up to 0.15 °C. We use our model output to calculate simple climate metrics that will allow for regional-scale climate impact estimates without the use of computationally demanding computer models.
We use three Earth system models to estimate the impact of regional air pollutant emissions...
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