메뉴 건너뛰기




Volumn 119, Issue 7, 2014, Pages 3687-3700

Influence of cloud phase composition on climate feedbacks

Author keywords

[No Author keywords available]

Indexed keywords

ALBEDO; ATMOSPHERIC GENERAL CIRCULATION MODEL; CARBON DIOXIDE; CLIMATE FEEDBACK; CLIMATE MODELING; CLOUD; COMPARATIVE STUDY; CONCENTRATION (COMPOSITION); ICE; PREDICTION; QUANTITATIVE ANALYSIS; SLAB;

EID: 84924161128     PISSN: 01480227     EISSN: 21562202     Source Type: Journal    
DOI: 10.1002/2013JD020582     Document Type: Article
Times cited : (48)

References (43)
  • 1
    • 33644700664 scopus 로고    scopus 로고
    • Climate sensitivity and climate change under strong forcing
    • Boer, G. J., K. Hamilton, and W. Zhu (2005), Climate sensitivity and climate change under strong forcing, Clim. Dyn., 24, 685–700.
    • (2005) Clim. Dyn. , vol.24 , pp. 685-700
    • Boer, G.J.1    Hamilton, K.2    Zhu, W.3
  • 2
    • 67650512618 scopus 로고    scopus 로고
    • A newmoist turbulence parameterization in the Community Atmosphere Model
    • Bretherton, C. S., and S. Park (2009), A newmoist turbulence parameterization in the Community Atmosphere Model, J. Clim., 22, 3422–3448.
    • (2009) J. Clim. , vol.22 , pp. 3422-3448
    • Bretherton, C.S.1    Park, S.2
  • 3
    • 67651111677 scopus 로고    scopus 로고
    • Climate response to physiological forcing of carbon dioxide simulated by the coupled Community Atmosphere Model (CAM3.1) and Community Land Model (CLM3.0)
    • Cao, L., G. Bala, K. Caldeira, R. Nemani, andG. Ban-Weiss (2009), Climate response to physiological forcing of carbon dioxide simulated by the coupled Community Atmosphere Model (CAM3.1) and Community Land Model (CLM3.0), Geophys. Res. Lett., 36, L10402, doi:10.1029/2009GL037724.
    • (2009) Geophys. Res. Lett , vol.36
    • Cao, L.1    Bala, G.2    Caldeira, K.3    Nemani, R.4    Ban-Weiss, A.5
  • 5
    • 78649475690 scopus 로고    scopus 로고
    • Observational diagnosis of cloud phase in the winter Antarctic atmosphere for parameterizations in climate models
    • Choi, Y.-S., C.-H. Ho, S.-W. Kim, and R. S. Lindzen (2010b), Observational diagnosis of cloud phase in the winter Antarctic atmosphere for parameterizations in climate models, Adv. Atmos. Sci., 27, 1233–1245.
    • (2010) Adv. Atmos. Sci. , vol.27 , pp. 1233-1245
    • Choi, Y.-S.1    Ho, C.-H.2    Kim, S.-W.3    Lindzen, R.S.4
  • 8
    • 66849097946 scopus 로고    scopus 로고
    • Equilibrium climate sensitivity: Is it accurate to use a slab ocean model?
    • Danabasoglu, G., and P. R. Gent (2009), Equilibrium climate sensitivity: Is it accurate to use a slab ocean model?, J. Clim., 22, 2,494–2,499.
    • (2009) J. Clim. , vol.22 , pp. 494-502
    • Danabasoglu, G.1    Gent, P.R.2
  • 9
    • 0029751999 scopus 로고    scopus 로고
    • A prognostic cloud water parameterization for global climate models
    • Del Genio, A. D., M.-S. Yao, W. Kovari, and K. W. Lo (1996), A prognostic cloud water parameterization for global climate models, J. Clim., 9, 270–304.
    • (1996) J. Clim. , vol.9 , pp. 270-304
    • Del Genio, A.D.1    Yao, M.-S.2    Kovari, W.3    Lo, K.W.4
  • 10
    • 18544412387 scopus 로고    scopus 로고
    • Evaluation of cloud thermodynamic phase parameterizations in the LMDZ GCM by using POLDER satellite data
    • Doutriaux-Boucher, M., and J. Quaas (2004), Evaluation of cloud thermodynamic phase parameterizations in the LMDZ GCM by using POLDER satellite data, Geophys. Res. Lett., 31, L06126, doi:10.1029/2003GL019095.
    • (2004) Geophys. Res. Lett. , vol.31
    • Doutriaux-Boucher, M.1    Quaas, J.2
  • 11
    • 0026470472 scopus 로고
    • A parameterization of ice cloud optical properties for climate models
    • Ebert, E. E., and J. A. Curry (1992), A parameterization of ice cloud optical properties for climate models, J. Geophys. Res., 97, 3831–3836.
    • (1992) J. Geophys. Res. , vol.97 , pp. 3831-3836
    • Ebert, E.E.1    Curry, J.A.2
  • 15
    • 77958185165 scopus 로고    scopus 로고
    • Occurrence, liquid water content, and fraction of supercooled water clouds from combined CALIOP/IIR/MODIS measurements
    • Hu, Y., S. Rodier, K. Xu, W. Sun, J. Huang, B. Lin, P. Zhai, and D. Josset (2010), Occurrence, liquid water content, and fraction of supercooled water clouds from combined CALIOP/IIR/MODIS measurements, J. Geophys. Res., 115, D00H34, doi:10.1029/2009JD012384.
    • (2010) J. Geophys. Res , vol.115
    • Hu, Y.1    Rodier, S.2    Xu, K.3    Sun, W.4    Huang, J.5    Lin, B.6    Zhai, P.7    Josset, D.8
  • 19
    • 67651222970 scopus 로고    scopus 로고
    • Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: Single-layer cloud
    • Klein, S. A., et al. (2009), Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: Single-layer cloud, Q. J. R. Meteorol. Soc., 135, 976–1002.
    • (2009) Q. J. R. Meteorol. Soc. , vol.135 , pp. 976-1002
    • Klein, S.A.1
  • 20
    • 0026301122 scopus 로고
    • Sensitivity of an atmospheric general circulation model to prescribed SST changes: Feedback effects associated with the simulation of cloud optical properties
    • Le Treut, H., and Z. X. Li (1991), Sensitivity of an atmospheric general circulation model to prescribed SST changes: Feedback effects associated with the simulation of cloud optical properties, Clim. Dyn., 5, 175–187.
    • (1991) Clim. Dyn. , vol.5 , pp. 175-187
    • Le Treut, H.1    Li, Z.X.2
  • 21
    • 0034874216 scopus 로고    scopus 로고
    • Influence of cloud-radiation interaction on simulating tropical intraseasonal oscillation with an atmospheric general circulation model
    • Lee, M.-I., I.-S. Kang, J.-K. Kim, and B. E. Mapes (2001), Influence of cloud-radiation interaction on simulating tropical intraseasonal oscillation with an atmospheric general circulation model, J. Geophys. Res., 106, 14,219–14,233.
    • (2001) J. Geophys. Res. , vol.106 , pp. 219-314
    • Lee, M.-I.1    Kang, I.-S.2    Kim, J.-K.3    Mapes, B.E.4
  • 22
    • 0027066656 scopus 로고
    • Cloud-radiation feedbacks in a general circulation model and their dependence on cloud modeling assumptions
    • Li, Z. X., and H. Le Treut (1992), Cloud-radiation feedbacks in a general circulation model and their dependence on cloud modeling assumptions, Clim. Dyn., 7, 133–139.
    • (1992) Clim. Dyn. , vol.7 , pp. 133-139
    • Li, Z.X.1    Le Treut, H.2
  • 23
    • 71949095930 scopus 로고    scopus 로고
    • On the determination of climate feedbacks from ERBE data
    • Lindzen, R. S., and Y.-S. Choi (2009), On the determination of climate feedbacks from ERBE data, Geophys. Res. Lett., 36, L16705, doi:10.1029/2009GL039628.
    • (2009) Geophys. Res. Lett. , vol.36
    • Lindzen, R.S.1    Choi, Y.-S.2
  • 24
    • 80052608549 scopus 로고    scopus 로고
    • On the observational determination of climate sensitivity and its implications
    • Lindzen, R. S., and Y.-S. Choi (2011), On the observational determination of climate sensitivity and its implications, Asia-Pac. J. Atmos. Sci., 47(4), 377–390.
    • (2011) Asia-Pac. J. Atmos. Sci , vol.47 , Issue.4 , pp. 377-390
    • Lindzen, R.S.1    Choi, Y.-S.2
  • 26
    • 77949295443 scopus 로고    scopus 로고
    • Presentation of a unified theory for light scattering by ice crystals
    • 2nd ed., Elsevier, New York
    • Liou, K. N. (2002), Presentation of a unified theory for light scattering by ice crystals, in An Introduction to Atmospheric Radiation, 2nd ed., pp. 228–234, Elsevier, New York.
    • (2002) An Introduction to Atmospheric Radiation , pp. 228-234
    • Liou, K.N.1
  • 27
    • 71149116178 scopus 로고    scopus 로고
    • Sensitivity studies of different aerosol indirect effects in mixed-phase clouds
    • Lohmann, U., and C. Hoose (2009), Sensitivity studies of different aerosol indirect effects in mixed-phase clouds, Atmos. Chem. Phys., 9, 8917–8934.
    • (2009) Atmos. Chem. Phys. , vol.9 , pp. 8917-8934
    • Lohmann, U.1    Hoose, C.2
  • 29
    • 34547489061 scopus 로고    scopus 로고
    • Global climate projections
    • Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by S. Solomon et al, Cambridge Univ. Press, Cambridge
    • Meehl, G. A., et al. (2007), Global climate projections, in Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by S. Solomon et al., pp. 749–845, Cambridge Univ. Press, Cambridge.
    • (2007) Climate Change 2007: The Physical Science Basis , pp. 749-845
    • Meehl, G.A.1
  • 30
    • 34848921893 scopus 로고    scopus 로고
    • Technical description of the Community Land Model (CLM)
    • NCAR/TN-461+STR
    • Oleson, K. W., et al. (2004), Technical description of the Community Land Model (CLM), NCAR Tech. Note, NCAR/TN-461+STR.
    • (2004) NCAR Tech. Note
    • Oleson, K.W.1
  • 31
    • 70350032430 scopus 로고    scopus 로고
    • Possible influence of anthropogenic aerosols on cirrus cloud and anthropogenic forcing
    • Penner, J. E., Y. Chen, M. Wang, and X. Liu (2009), Possible influence of anthropogenic aerosols on cirrus cloud and anthropogenic forcing, Atmos. Chem. Phys., 9, 879–896.
    • (2009) Atmos. Chem. Phys. , vol.9 , pp. 879-896
    • Penner, J.E.1    Chen, Y.2    Wang, M.3    Liu, X.4
  • 33
    • 35548966746 scopus 로고    scopus 로고
    • Why is climate sensitivity so unpredictable?
    • Roe, G. H., and M. B. Baker (2007), Why is climate sensitivity so unpredictable?, Science, 318, 629.
    • (2007) Science , vol.318 , pp. 629
    • Roe, G.H.1    Baker, M.B.2
  • 34
    • 0027532797 scopus 로고
    • Carbon dioxide and climate: The impact of cloud parameterization
    • Senior, C. A., and F. B. Mitchell (1993), Carbon dioxide and climate: The impact of cloud parameterization, J. Clim., 6, 393–418.
    • (1993) J. Clim. , vol.6 , pp. 393-418
    • Senior, C.A.1    Mitchell, F.B.2
  • 35
    • 45349091207 scopus 로고    scopus 로고
    • Using the radiative kernel technique to calculate climate feedbacks in NCAR’s Community Atmospheric Model
    • Shell, K. M., J. T. Kiehl, and C. A. Shields (2008), Using the radiative kernel technique to calculate climate feedbacks in NCAR’s Community Atmospheric Model, J. Clim., 21, 2269–2282.
    • (2008) J. Clim. , vol.21 , pp. 2269-2282
    • Shell, K.M.1    Kiehl, J.T.2    Shields, C.A.3
  • 36
    • 0025204961 scopus 로고
    • A scheme for predicting layer clouds and their water content in a general circulation model
    • Smith, R. N. (1990), A scheme for predicting layer clouds and their water content in a general circulation model, Q. J. R. Meteorol. Soc., 116, 435–460.
    • (1990) Q. J. R. Meteorol. Soc. , vol.116 , pp. 435-460
    • Smith, R.N.1
  • 37
    • 33646848186 scopus 로고    scopus 로고
    • An assessment of climate feedbacks in coupled ocean–atmosphere models
    • Soden, B. J., and T. M. Held (2006), An assessment of climate feedbacks in coupled ocean–atmosphere models, J. Clim., 19, 3354–3360.
    • (2006) J. Clim. , vol.19 , pp. 3354-3360
    • Soden, B.J.1    Held, T.M.2
  • 38
    • 84865463788 scopus 로고    scopus 로고
    • Evaluation of microphysics parameterization for convective clouds in the NCAR Community Atmosphere Model CAM5
    • Song, X., G. J. Zhang, and J. L. F. Li (2012), Evaluation of microphysics parameterization for convective clouds in the NCAR Community Atmosphere Model CAM5, J. Clim., 25, 8568–8590.
    • (2012) J. Clim. , vol.25 , pp. 8568-8590
    • Song, X.1    Zhang, G.J.2    Li, J.L.F.3
  • 39
    • 42149193942 scopus 로고    scopus 로고
    • Aerosol influence on mixed-phase clouds in CAM-Oslo
    • Storelvmo, T., J. E. Kristjánsson, and U. Lohmann (2008), Aerosol influence on mixed-phase clouds in CAM-Oslo, J. Atmos. Sci., 65, 3214–3230.
    • (2008) J. Atmos. Sci. , vol.65 , pp. 3214-3230
    • Storelvmo, T.1    Kristjánsson, J.E.2    Lohmann, U.3
  • 40
    • 0002863770 scopus 로고
    • Parameterization of condensation and associated clouds in models for weather prediction and general circulation simulation
    • edited by M. E. Schlesinger, Kluwer Acad, Dordrecht, Neth
    • Sundqvist, H. (1988), Parameterization of condensation and associated clouds in models for weather prediction and general circulation simulation, in Physically-Based Modeling and Simulation of Climate and Climate Change, vol. 1, edited by M. E. Schlesinger, pp. 433–461, Kluwer Acad, Dordrecht, Neth.
    • (1988) Physically-Based Modeling and Simulation of Climate and Climate Change , vol.1 , pp. 433-461
    • Sundqvist, H.1
  • 41
    • 33744745307 scopus 로고    scopus 로고
    • Importance of the mixed-phase cloud distribution in the control climate for assessing the response of clouds to carbon dioxide increase: A multi-model study
    • Tsushima, Y., M. J. Webb, K. D. Williams, B. J. Soden, M. Kimoto, Y. Tsushima, S. Emori, N. Andronova, B. Li, and T. Ogura (2006), Importance of the mixed-phase cloud distribution in the control climate for assessing the response of clouds to carbon dioxide increase: A multi-model study, Clim. Dyn., 27, 113–126.
    • (2006) Clim. Dyn. , vol.27 , pp. 113-126
    • Tsushima, Y.1    Webb, M.J.2    Williams, K.D.3    Soden, B.J.4    Kimoto, M.5    Tsushima, Y.6    Emori, S.7    Andronova, N.8    Li, B.9    Ogura, T.10
  • 42
    • 33644666197 scopus 로고    scopus 로고
    • On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles
    • Webb, M. J., et al. (2006), On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles, Clim. Dyn., 27, 17–38.
    • (2006) Clim. Dyn. , vol.27 , pp. 17-38
    • Webb, M.J.1
  • 43
    • 43449096919 scopus 로고    scopus 로고
    • Comparison of ERA40 cloud top phase with POLDER-1 observations
    • Weidle, F., and H. Wernli (2008), Comparison of ERA40 cloud top phase with POLDER-1 observations, J. Geophys. Res., 113, D05209, doi:10.1029/2007JD009234.
    • (2008) J. Geophys. Res. , vol.113
    • Weidle, F.1    Wernli, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.