Do sophisticated parameterizations of aerosol-cloud interactions in CMIP5 models improve the representation of recent observed temperature trends?

Journal of Geophysical Research

Volumn 119, Issue 2, 2014, Pages 817-832

  Ekman, Annica M L ^a  

^a STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; CLIMATE MODELS; CLOUDS; COMPUTER SIMULATION; DROPS; GREENHOUSE GASES; PARAMETERIZATION; SUPERSATURATION; SURFACE PROPERTIES;

AEROSOL INDIRECT EFFECT; AEROSOL-CLOUD INTERACTION; CLOUD DROPLET NUMBER CONCENTRATIONS; CMIP5; COUPLED MODEL INTERCOMPARISON PROJECT; LATITUDINAL DISTRIBUTION; PRECIPITATION FORMATION; TEMPERATURE TRENDS;

AEROSOLS;

AEROSOL; ANTHROPOGENIC EFFECT; ATMOSPHERIC MODELING; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); EMISSION; GREENHOUSE GAS; NUMERICAL MODEL; OBSERVATIONAL METHOD; PARAMETERIZATION; PRECIPITATION (CLIMATOLOGY); SURFACE TEMPERATURE; TEMPERATURE EFFECT;

EID: 84900605777     PISSN: 01480227     EISSN: 21562202     Source Type: Journal    
DOI: 10.1002/2013JD020511     Document Type: Article

References (26)

1. Abdul-Razzak, H., and S. Ghan (2000), A parameterization of aerosol activation: 2. Multiple aerosol types, J. Geophys. Res., 105(D5), 6837–6844.
2. Albrecht, B. A. (1989), Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230.
3. Arora, V. K., J. F. Scinocca, G. J. Boer, J. R. Christian, K. L. Denman, G. M. Flato, V. V. Kharin, W. G. Lee, and W. J. Merryfield (2011), Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases, Geophys. Res. Lett., 38(5), L05805, doi:10.1029/2010GL046270.
4. Bellouin, N., J. Rae, A. Jones, C. Johnson, J. Haywood, and O. Boucher (2011), Aerosol forcing in the Climate Model Intercomparison Project (CMIP5) simulations by HadGEM2-ES and the role of ammonium nitrate, J. Geophys. Res., 116(D20), D20206, doi:10.1029/2011JD016074.
5. Collins, W. J., et al. (2011), Development and evaluation of an Earth-system model HadGEM2, Geosci. Model Dev., 4(4), 1051–1075, doi:10.5194/gmd-4-1051-2011.
6. Donner, L. J., et al. (2011), The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL Global Coupled Model CM3, J. Clim., 24(13), 3484–3519, doi:10.1175/2011JCLI3955.1.
7. Dufresne, J.-L., et al. (2013), Climate change projections using the IPSL-CM5 Earth System Model: From CMIP3 to CMIP5, Clim. Dyn., 40(9-10), 2123–2165, doi:10.1007/s00382-012-1636-1.
8. Forster, P., et al. (2007), Changes in atmospheric constituents and in radiative forcing, in Climate Change 2007: The Physical Science Basis. Contribution to Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by S. Solomon et al., pp. 129–234, Cambridge Univ. Press, Cambridge, United Kingdom and New York, NY, USA.
9. Gent, P. R., et al. (2011), The Community Climate System Model Version 4, J. Clim., 24(19), 4973–4991, doi:10.1175/2011JCLI4083.1.
10. Gillett, N. P., V. K. Arora, G. M. Flato, J. F. Scinocca, and K. von Salzen (2012), Improved constraints on 21st-century warming derived using 160 years of temperature observations, Geophys. Res. Lett., 39(1), L01704, doi:10.1029/2011GL050226.
11. Kirkevåg, A., et al. (2013), Aerosol-climate interactions in the Norwegian Earth System Model—NorESM1-M, Geosci. Model Dev., 6(1), 207–244, doi:10.5194/gmd-6-207-2013.
12. Lamarque, J.-F., et al. (2010), Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: Methodology and application, Atmos. Chem. Phys., 10(15), 7017–7039., doi:10.5194/acp-10-7017-2010.
13. Li, L., et al. (2013), Evaluation of grid-point atmospheric model of IAP LASG version 2 (GAMIL2), Adv. Atmos. Sci., 30(3), 855–867, doi:10.1007/546s00376-013-2157-5.
14. Lohmann, U., and J. Feichter (2005), Global indirect aerosol effects: A review, Atmos. Chem. Phys., 5, 715–737.
15. Meehl, G. A., et al. (2013), Climate change projections in CESM1(CAM5) compared to CCSM4, J. Clim., 26(17), 6287–6308, doi:10.1175/JCLI-D-12-00572.1.
16. Menon, S., D. Koch, G. Beig, S. Sahu, J. Fasullo, and D. Orlikowski (2010), Black carbon aerosols and the third polar ice cap, Atmos. Chem. Phys., 10(10), 4559–4571, doi:10.5194/acp-10-4559-2010.
17. Ming, Y., V. Ramaswamy, L. J. Donner, and V. T. J. Phillips (2006), A new parameterization of cloud droplet activation applicable to general circulation models, J. Atmos. Sci., 63, 1348–1356.
18. Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set, J. Geophys. Res., 117(D8), D08101, doi:10.1029/2011JD017187.
19. Quaas, J., and O. Boucher (2005), Constraining the first aerosol indirect radiative forcing in the LMDZ GCM using POLDER and MODIS satellite data, Geophys. Res. Lett., 32(17), L17814, doi:10.1029/2005GL023850.
20. Rotstayn, L. D., S. J. Jeffrey, M. A. Collier, S. M. Dravitzki, A. C. Hirst, J. I. Syktus, and K. K. Wong (2012), Aerosol- and greenhouse gas-induced changes in summer rainfall and circulation in the Australasian region: A study using single-forcing climate simulations, Atmos. Chem. Phys., 12(14), 6377–6404, doi:10.5194/acp-12-6377-2012.
21. Santer, B. D., et al. (2013), Identifying human influences on atmospheric temperature, PNAS, 110(1), 26–33, doi:10.1073/pnas.1210514109.
22. Twomey, S. (1977), The influence of pollution on the shortwave albedo of clouds, J. Atmos. Sci., 34(7), 1149–1152, doi:10.1175/1520-0469(1977)034<1149:TIOPOT>2.0.CO;2.
23. Voldoire, A., et al. (2012), The CNRM-CM5.1 global climate model: Description and basic evaluation, Clim. Dyn., 40(9-10), 2091–2121, doi:10.1007/s00382-011-1259-y.
24. Watanabe, S., et al. (2011), MIROC-ESM 2010: Model description and basic results of CMIP5-20c3m experiments, Geosci. Model Dev., 4(4), 845–872, doi:10.5194/gmd-4-845-2011.
25. Wilcox, L. J., E. J. Highwood, and N. J. Dunstone (2013), The influence of anthropogenic aerosol on multi-decadal variations of historical global climate, Environ. Res. Lett., 8(2), 024,033, doi:10.1088/1748-9326/8/2/024033.
26. Wu, T., R. Yu, F. Zhang, Z. Wang, M. Dong, L. Wang, X. Jin, D. Chen, and L. Li (2008), The Beijing Climate Center atmospheric general circulation model: Description 591 and its performance for the present-day climate, Clim. Dyn., 34(1), 123–147, doi:10.1007/s00382-008-0487-2.