2021
DOI: 10.1029/2020jd033364
|View full text |Cite
|
Sign up to set email alerts
|

Comparing the Radiative Forcings of the Anthropogenic Aerosol Emissions From Chile and Mexico

Abstract: Short-lived climate forcers (SLCFs) are compounds that originate either from natural sources or human activity. In broad terms, SLCFs are atmospheric compounds that can have a substantial effect on the climate and global warming, but have a relatively short atmospheric lifetime of a few days to a decade compared to long-lived greenhouse gases (e.g., carbon dioxide [CO 2 ]) which can have lifetimes of hundreds of years. SLCFs include both gaseous compounds such as methane (CH 4 ) and hydrofluorocarbons, and aer… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 131 publications
0
3
0
Order By: Relevance
“…Thus, in order to better separate the changes in cloud properties due to changes in VOC emissions, we conducted Gaussian filtering to smooth the 2D data in the results section following the approach of Miinalainen et al. (2021).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, in order to better separate the changes in cloud properties due to changes in VOC emissions, we conducted Gaussian filtering to smooth the 2D data in the results section following the approach of Miinalainen et al. (2021).…”
Section: Methodsmentioning
confidence: 99%
“…In addition, as the length of the winter is long especially in the Northern Hemisphere the snow and ice covers can affect the surface albedo, even during summer months, causing a strong spatial and temporal fluctuation in aerosol radiative effects. Thus, in order to better separate the changes in cloud properties due to changes in VOC emissions, we conducted Gaussian filtering to smooth the 2D data in the results section following the approach of Miinalainen et al (2021).…”
Section: Simulationsmentioning
confidence: 99%
“…However, the research that considers the ARI in the NWP model has been limited due to the complicated aerosol processes and the vast calculation cost (Bauer et al., 2015; J. L. F. Li, Lee, et al., 2014; Mulcahy et al., 2014). In recent years, with the development of supercomputers, people have tended to focus on the impact of ARI on the weather (Dagan et al., 2021; Ding et al., 2013; Miinalainen et al., 2021; Myhre et al., 2013), but these studies are far from enough to understand the role of the ARI in the NWP model, especially in areas with heavy aerosol pollution.…”
Section: Introductionmentioning
confidence: 99%