2020
DOI: 10.1029/2020jd032575
|View full text |Cite
|
Sign up to set email alerts
|

Large‐Scale Industrial Cloud Perturbations Confirm Bidirectional Cloud Water Responses to Anthropogenic Aerosols

Abstract:  Satellite observations confirm aerosol-induced decreases in cloud droplet size in large areas compared to nearby less polluted areas  Aerosol-induced cloud water increases and decreases compensate each other at large spatial scales similarly to ship-track-like perturbations  On average, Twomey effect is more important than the effect of cloud water changes for the aerosol radiative forcing of the Earth's climate

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
17
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
5
1

Relationship

3
3

Authors

Journals

citations
Cited by 12 publications
(18 citation statements)
references
References 30 publications
1
17
0
Order By: Relevance
“…Stratiform clouds over land responded to isolated pollution sources in much the same manner as marine stratiform clouds did. An expanded analysis, focusing on the Norilsk pollution hotspot in Russia but including some data from the United States, Europe, and eastern Asia in addition to that used in Toll et al (2019) confirmed that competing LWP adjustments in varying conditions average out to a small offset of the Twomey effect ( Trofimov et al, 2020 ). It is noteworthy that this result, where the focus is more in continental areas, contrasts with more significant Twomey effect offsets in the shipping lane study of Diamond and Wood (2020) .…”
Section: Overview Of Opportunistic Experimentsmentioning
confidence: 81%
See 3 more Smart Citations
“…Stratiform clouds over land responded to isolated pollution sources in much the same manner as marine stratiform clouds did. An expanded analysis, focusing on the Norilsk pollution hotspot in Russia but including some data from the United States, Europe, and eastern Asia in addition to that used in Toll et al (2019) confirmed that competing LWP adjustments in varying conditions average out to a small offset of the Twomey effect ( Trofimov et al, 2020 ). It is noteworthy that this result, where the focus is more in continental areas, contrasts with more significant Twomey effect offsets in the shipping lane study of Diamond and Wood (2020) .…”
Section: Overview Of Opportunistic Experimentsmentioning
confidence: 81%
“…As an example, copper and nickel production facilities in Norilsk, Russia, emit more than 1 Mt of SO 2 each year, i.e., more than 1 % of global anthropogenic SO 2 emissions ( Fioletov et al, 2016 ). Such strong localized emissions induce a high contrast between clouds affected by the emissions of the Norilsk smelters and nearby less polluted clouds ( Trofimov et al, 2020 ). The opening and closing of large factories and implementation of desulfurization devices can lead to rapid changes in emissions ( Fioletov et al, 2016 ), providing additional insight into aerosol impacts on clouds.…”
Section: Overview Of Opportunistic Experimentsmentioning
confidence: 99%
See 2 more Smart Citations
“…If total condensate mass does not change, increased N l results in decreased cloud droplet size, enhancing cloud albedo (Twomey, 1976;Quaas et al, 2020) and longwave emissivity for optically-thin clouds (Garrett & Zhao, 2006;Lubin & Vogelmann, 2006). Aerosols may also impact cloud lifetime through alteration of precipitation processes (Albrecht, 1989), though recent studies (Wood, 2007;Malavelle et al, 2017;Gryspeerdt et al, 2019;Rosenfeld et al, 2019;Toll et al, 2019;Trofimov et al, 2020) show limited relationships between liquid water path (LWP) and aerosol concentration, suggesting system buffering (Stevens & Feingold, 2009). Challenges associated with quantifying these aerosol-cloud effects contribute significantly to uncertainties in understanding the climate system, in particular in the Arctic (Zamora et al, 2018;Engelmann et al, 2020;Schmale et al, 2021).…”
Section: Introductionmentioning
confidence: 99%