2017
DOI: 10.5194/acp-17-8903-2017
|View full text |Cite
|
Sign up to set email alerts
|

Global source attribution of sulfate concentration and direct and indirect radiative forcing

Abstract: Abstract. The global source-receptor relationships of sulfate concentrations, and direct and indirect radiative forcing (DRF and IRF) from 16 regions/sectors for years 2010-2014 are examined in this study through utilizing a sulfur source-tagging capability implemented in the Community Earth System Model (CESM) with winds nudged to reanalysis data. Sulfate concentrations are mostly contributed by local emissions in regions with high emissions, while over regions with relatively low SO 2 emissions, the near-sur… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

10
70
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
5
2

Relationship

2
5

Authors

Journals

citations
Cited by 66 publications
(80 citation statements)
references
References 57 publications
10
70
0
Order By: Relevance
“…The 20% emission reduction can lead to a larger warming effect contributed by East Asia than other source regions. Considering that the underestimation of China sulfate concentration by a factor of 2 in CAM5 (Yang, Wang, Smith, Easter, et al, ) may lead to an underestimation of sulfate transported from China to the Arctic, the warming effect from China emission reductions could be even stronger than our current estimates. A joint reduction in BC emissions could reduce the possible inadvertent Arctic warming from future SO 2 emission reductions.…”
Section: Arctic Sulfate Rfari and Efficiencymentioning
confidence: 63%
See 1 more Smart Citation
“…The 20% emission reduction can lead to a larger warming effect contributed by East Asia than other source regions. Considering that the underestimation of China sulfate concentration by a factor of 2 in CAM5 (Yang, Wang, Smith, Easter, et al, ) may lead to an underestimation of sulfate transported from China to the Arctic, the warming effect from China emission reductions could be even stronger than our current estimates. A joint reduction in BC emissions could reduce the possible inadvertent Arctic warming from future SO 2 emission reductions.…”
Section: Arctic Sulfate Rfari and Efficiencymentioning
confidence: 63%
“…Source attributions of Arctic sulfate and RFari for 2010–2014 are quantified using the CESM with a sulfur source‐tagging technique. Following a previous study (Yang, Wang, Smith, Easter, et al, ) that examined the global source‐receptor relationship of sulfate, 14 source regions and two natural sectors are tagged. The Arctic was generally defined as 66.5°N–90°N in this work.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…For this three-month period, estimated emissions were 0.81 Tg S and decreased in the following three months to 0.66 Tg S (Yang et al, 2017).…”
mentioning
confidence: 84%
“…When the ITCZ shifts north in the dry season, south-east trade winds originating from southern Africa are more likely to reach the central Amazon rain forest. Even though the potential impact of transatlantic transport of volcanic sulfur emission has been suggested (Yang et al, 2017), no ground-based evidence has been reported previously in the literature concerning the impact of African volcanic sources.…”
mentioning
confidence: 99%
“…After emission to the atmosphere, DMS is chemically oxidized to form SO 2 and other products, with a reactive lifetime on the order of one to several days. Over the Southern Ocean and other remote marine regions, DMS‐derived SO 2 is the most important source of CCN in the atmosphere (Carslaw et al, ; McCoy et al, ; Wang, Maltrud, Elliott, et al, ; Yang et al, ; Yang et al, ). These remote marine regions are particularly sensitive to changes in CCN number (Carslaw et al, ; Karydis et al, ; Moore, Karydis, et al, ); thus, it is necessary to adequately represent DMS emissions and DMS‐derived CCN in atmospheric models that simulate high‐latitude clouds.…”
Section: Model Descriptionmentioning
confidence: 99%