Constraining the instantaneous aerosol influence on cloud albedo

Proceedings of the National Academy of Sciences of the United States of America

Volumn 114, Issue 19, 2017, Pages 4899-4904

  Gryspeerdt, Edward ^a,b   Quaas, Johannes ^a   Ferrachat, Sylvaine ^c   Gettelman, Andrew ^d   Ghan, Steven ^e   Lohman, Ulrike ^c   Morrison, Hugh ^d   Neubauer, David ^c   Partridge, Daniel G ^f,g   Stier, Philip ^h   Takemura, Toshihiko ⁱ   Wang, Hailong ^e   Wang, Minghuai ^e,j   Zhang, Kai ^e  

^a UNIVERSITY OF LEIPZIG   (Germany)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c ETH Zurich   (Switzerland)

^d NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^e PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^f STOCKHOLM UNIVERSITY   (Sweden)

^g UNIVERSITY OF EXETER   (United Kingdom)

^h UNIVERSITY OF OXFORD   (United Kingdom)

ⁱ KYUSHU UNIVERSITY   (Japan)

^j NANJING UNIVERSITY   (China)

more..

Author keywords

Aerosols; Clouds; Radiative forcing

Indexed keywords

ACCURACY; AEROSOL; ALBEDO; ARTICLE; CLIMATE CHANGE; CLOUD; CONCENTRATION (PARAMETERS); GEOGRAPHIC DISTRIBUTION; HISTOGRAM; OPTICAL DEPTH; PRIORITY JOURNAL; RADIATIVE FORCING;

EID: 85019121569     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1617765114     Document Type: Article

References (28)

1. Boucher O, et al. (2013) Clouds and Aerosols, eds Stocker T, et al. (Cambridge Univ Press, Cambridge, UK), pp 571-658.
2. Twomey S (1974) Pollution and the planetary albedo. Atmos Environ 8:1251-1256.
3. Albrecht B (1989) Aerosols, cloud microphysics, and fractional cloudiness. Science 245:1227-1230.
4. Nakajima T, Higurashi A, Kawamoto K, Penner J (2001) A possible correlation between satellite-derived cloud and aerosol microphysical parameters. Geophys Res Lett 28:1171-1174.
5. Feingold G, Eberhard WL, Veron DE, Previdi M (2003) First measurements of the Twomey indirect effect using ground-based remote sensors. Geophys Res Lett 30:1287.
6. Koren I, Kaufman Y, Rosenfeld D, Remer L, Rudich Y (2005) Aerosol invigoration and restructuring of Atlantic convective clouds. Geophys Res Lett 32: L14828.
7. Quaas J, Boucher O, Bellouin N, Kinne S (2008) Satellite-based estimate of the direct and indirect aerosol climate forcing. J Geophys Res113:D05204.
8. Quaas J, Stevens B, Stier P, Lohmann U (2010) Interpreting the cloud cover - aerosol optical depth relationship found in satellite data using a general circulation model. Atmos Chem Phys 10:6129-6135.
9. Grandey BS, Gururaj A, Stier P, Wagner TM (2014) Rainfall-aerosol relationships explained by wet scavenging and humidity. Geophys Res Lett 41:5678-5684.
10. Jones TA, Christopher SA, Quaas J (2009) A six year satellite-based assessment of the regional variations in aerosol indirect effects. Atmos Chem Phys 9:4091-4114.
11. Gryspeerdt E, Quaas J, Bellouin N (2016) Constraining the aerosol influence on cloud fraction. J Geophys Res 121:3566-3583.
12. Quaas J, et al. (2009) Aerosol indirect effects - general circulation model intercomparison and evaluation with satellite data. Atmos Chem Phys 9:8697-8717.
13. Bellouin N, et al. (2013) Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre global environmental model. Atmos Chem Phys 13:3027-3044.
14. Shinozuka Y, et al. (2015) The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: indications of underlying aerosol processes and implications for satellite-based CCN estimates. Atmos Chem Phys 15:7585-7604.
15. Stier P (2016) Limitations of passive remote sensing to constrain global cloud condensation nuclei. Atmos Chem Phys 16:6595-6607.
16. Kaufman YJ, et al. (2005) Aerosol anthropogenic component estimated from satellite data. Geophys Res Lett 32:17804.
17. Penner JE, Xu L, Wang M (2011) Satellite methods underestimate indirect climate forcing by aerosols. Proc Natl Acad Sci USA 108:13404-13408.
18. Ghan S, et al. (2016) Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability. Proc Natl Acad Sci USA 113:5804-5811.
19. Zhang S, et al. (2016) On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models. Atmos Chem Phys 16:2765-2783.
20. Nam C, Bony S, Dufresne JL, Chepfer H (2012) The 'too few, too bright' tropical lowcloud problem in CMIP5 models. Geophys Res Lett 39:L21801.
21. Lebsock M, Stephens G, Kummerow C (2008) Multisensor satellite observations of aerosol effects on warm clouds. J Geophys Res 113:D15205.
22. Levy R, et al. (2010) Global evaluation of the collection 5 MODIS dark-target aerosol products over land. Atmos Chem Phys 10:10399-10420.
23. Zelinka MD, Andrews T, Forster PM, Taylor KE (2014) Quantifying components of aerosol-cloud-radiation interactions in climate models. J Geophys Res 119:7599-7615.
24. Dusek U, et al. (2006) Size matters more than chemistry for cloud-nucleating ability of aerosol particles. Science 312:1375-1378.
25. Rosenfeld D, et al. (2016) Satellite retrieval of cloud condensation nuclei concentrations by using clouds as CCN chambers. Proc Natl Acad Sci USA 113:5828-5834.
26. Twomey S (1991) Aerosols, clouds and radiation. Atmos Environ 25:2435-2442.
27. Platnick S, et al. (2003) The MODIS cloud products: Algorithms and examples from Terra. IEEE Trans Geosci Remote Sens 41:459-473.
28. Charlson RJ, et al. (1992) Climate forcing by anthropogenic aerosols. Science 255:423-430.