Literature DB >> 32849860

Aerosol indirect effects on the nighttime Arctic Ocean surface from thin, predominantly liquid clouds.

Lauren M Zamora1,2, Ralph A Kahn2, Sabine Eckhardt3, Allison McComiskey4, Patricia Sawamura5,6, Richard Moore5, Andreas Stohl3.   

Abstract

Aerosol indirect effects have potentially large impacts on the Arctic Ocean surface energy budget, but model estimates of regional-scale aerosol indirect effects are highly uncertain and poorly validated by observations. Here we demonstrate a new way to quantitatively estimate aerosol indirect effects on a regional scale from remote sensing observations. In this study, we focus on nighttime, optically thin, predominantly liquid clouds. The method is based on differences in cloud physical and microphysical characteristics in carefully selected clean, average and aerosol-impacted conditions. The cloud subset of focus covers just ~5% of cloudy Arctic Ocean regions, warming the Arctic Ocean surface by ~1-1.4 W m-2 regionally during polar night. However, within this cloud subset, aerosol and cloud conditions can be determined with high confidence using CALIPSO and CloudSat data and model output. This cloud subset is generally susceptible to aerosols, with a polar nighttime estimated maximum regionally integrated indirect cooling effect of ~ -0.11 W m-2 at the Arctic sea ice surface (~10% of the clean background cloud effect), excluding cloud fraction changes. Aerosol presence is related to reduced precipitation, cloud thickness, and radar reflectivity, and in some cases, an increased likelihood of cloud presence in the liquid phase. These observations are inconsistent with a glaciation indirect effect and are consistent with either a deactivation effect or less efficient secondary ice formation related to smaller liquid cloud droplets. However, this cloud subset shows large differences in surface and meteorological forcing in shallow and higher altitude clouds and between sea ice and open ocean regions. For example, optically thin, predominantly liquid clouds are much more likely to overlay another cloud over the open ocean, which may reduce aerosol indirect effects on the surface. Also, shallow clouds over open ocean do not appear to respond to aerosols as strongly as over stratified sea ice environments, indicating a larger influence of meteorological forcing over aerosol microphysics in these types of clouds over the rapidly changing Arctic Ocean.

Year:  2017        PMID: 32849860      PMCID: PMC7447155          DOI: 10.5194/acp-17-7311-2017

Source DB:  PubMed          Journal:  Atmos Chem Phys        ISSN: 1680-7316            Impact factor:   6.133


  10 in total

1.  New approaches to quantifying aerosol influence on the cloud radiative effect.

Authors:  Graham Feingold; Allison McComiskey; Takanobu Yamaguchi; Jill S Johnson; Kenneth S Carslaw; K Sebastian Schmidt
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-01       Impact factor: 11.205

2.  Increased Arctic cloud longwave emissivity associated with pollution from mid-latitudes.

Authors:  Timothy J Garrett; Chuanfeng Zhao
Journal:  Nature       Date:  2006-04-06       Impact factor: 49.962

3.  A climatologically significant aerosol longwave indirect effect in the Arctic.

Authors:  Dan Lubin; Andrew M Vogelmann
Journal:  Nature       Date:  2006-01-26       Impact factor: 49.962

4.  Aerosols, cloud microphysics, and fractional cloudiness.

Authors:  B A Albrecht
Journal:  Science       Date:  1989-09-15       Impact factor: 47.728

5.  Large contribution of natural aerosols to uncertainty in indirect forcing.

Authors:  K S Carslaw; L A Lee; C L Reddington; K J Pringle; A Rap; P M Forster; G W Mann; D V Spracklen; M T Woodhouse; L A Regayre; J R Pierce
Journal:  Nature       Date:  2013-11-07       Impact factor: 49.962

6.  Occurrence of pristine aerosol environments on a polluted planet.

Authors:  Douglas S Hamilton; Lindsay A Lee; Kirsty J Pringle; Carly L Reddington; Dominick V Spracklen; Kenneth S Carslaw
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-15       Impact factor: 11.205

7.  July 2012 Greenland melt extent enhanced by low-level liquid clouds.

Authors:  R Bennartz; M D Shupe; D D Turner; V P Walden; K Steffen; C J Cox; M S Kulie; N B Miller; C Pettersen
Journal:  Nature       Date:  2013-04-04       Impact factor: 49.962

8.  Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability.

Authors:  Steven Ghan; Minghuai Wang; Shipeng Zhang; Sylvaine Ferrachat; Andrew Gettelman; Jan Griesfeller; Zak Kipling; Ulrike Lohmann; Hugh Morrison; David Neubauer; Daniel G Partridge; Philip Stier; Toshihiko Takemura; Hailong Wang; Kai Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-26       Impact factor: 11.205

9.  Clouds enhance Greenland ice sheet meltwater runoff.

Authors:  K Van Tricht; S Lhermitte; J T M Lenaerts; I V Gorodetskaya; T S L'Ecuyer; B Noël; M R van den Broeke; D D Turner; N P M van Lipzig
Journal:  Nat Commun       Date:  2016-01-12       Impact factor: 14.919

10.  Covariance between Arctic sea ice and clouds within atmospheric state regimes at the satellite footprint level.

Authors:  Patrick C Taylor; Seiji Kato; Kuan-Man Xu; Ming Cai
Journal:  J Geophys Res Atmos       Date:  2015-12-28       Impact factor: 4.261

  10 in total

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