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Volumn 29, Issue 17, 2016, Pages 6259-6275

Lower-tropospheric mixing as a constraint on cloud feedback in a multiparameter multiphysics ensemble

Author keywords

Circulation Dynamics; Climate models; Climate sensitivity; Cloud radiative effects; Feedback; Models and modeling; Physical Meteorology and Climatology; Radiative forcing

Indexed keywords

ATMOSPHERIC RADIATION; CLOUDS; EARTH ATMOSPHERE; FEEDBACK; MIXING; TROPOSPHERE;

EID: 84983490086     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-16-0042.1     Document Type: Article
Times cited : (23)

References (65)
  • 1
    • 84861180918 scopus 로고    scopus 로고
    • Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere-ocean climate models
    • Andrews, T., J. M. Gregory, M. J. Webb, and K. E. Taylor, 2012: Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere-ocean climate models. Geophys. Res. Lett., 39, L09712, doi:10.1029/2012GL051607.
    • (2012) Geophys. Res. Lett , vol.39
    • Andrews, T.1    Gregory, J.M.2    Webb, M.J.3    Taylor, K.E.4
  • 2
    • 84922774244 scopus 로고    scopus 로고
    • The dependence of radiative forcing and feedback on evolving patterns of surface temperature change in climate models
    • Andrews, T., J. M. Gregory, and M. J. Webb, 2015: The dependence of radiative forcing and feedback on evolving patterns of surface temperature change in climate models. J. Climate, 28, 1630-1648, doi:10.1175/JCLI-D-14-00545.1.
    • (2015) J. Climate , vol.28 , pp. 1630-1648
    • Andrews, T.1    Gregory, J.M.2    Webb, M.J.3
  • 3
    • 84880674695 scopus 로고    scopus 로고
    • Time-varying climate sensitivity from regional feedbacks
    • Armour, K. C., C. M. Bitz, and G. H. Roe, 2013: Time-varying climate sensitivity from regional feedbacks. J. Climate, 26, 4518-4534, doi:10.1175/JCLI-D-12-00544.1.
    • (2013) J. Climate , vol.26 , pp. 4518-4534
    • Armour, K.C.1    Bitz, C.M.2    Roe, G.H.3
  • 4
    • 28944450038 scopus 로고    scopus 로고
    • Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models
    • Bony, S., and J. L. Dufresne, 2005: Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models. Geophys. Res. Lett., 32, L20806, doi:10.1029/2005GL023851.
    • (2005) Geophys. Res. Lett , vol.32
    • Bony, S.1    Dufresne, J.L.2
  • 5
    • 84876877680 scopus 로고    scopus 로고
    • Interpretation of the positive low-cloud feedback predicted by a climate model under global warming
    • Brient, F., and S. Bony, 2013: Interpretation of the positive low-cloud feedback predicted by a climate model under global warming. Climate Dyn., 40, 2415-2431, doi:10.1007/s00382-011-1279-7.
    • (2013) Climate Dyn , vol.40 , pp. 2415-2431
    • Brient, F.1    Bony, S.2
  • 6
    • 77955564380 scopus 로고    scopus 로고
    • A cumulus parameterization with statedependent entrainment rate. Part II: Impact on climatology in a general circulation model
    • Chikira, M., 2010: A cumulus parameterization with statedependent entrainment rate. Part II: Impact on climatology in a general circulation model. J. Atmos. Sci., 67, 2194-2211, doi:10.1175/2010JAS3317.1.
    • (2010) J. Atmos. Sci , vol.67 , pp. 2194-2211
    • Chikira, M.1
  • 7
    • 77955561334 scopus 로고    scopus 로고
    • A cumulus parameterization with state-dependent entrainment rate. Part I: Description and sensitivity to temperature and humidity profiles
    • Chikira, M., and M. Sugiyama, 2010: A cumulus parameterization with state-dependent entrainment rate. Part I: Description and sensitivity to temperature and humidity profiles. J. Atmos. Sci., 67, 2171-2193, doi:10.1175/2010JAS3316.1.
    • (2010) J. Atmos. Sci , vol.67 , pp. 2171-2193
    • Chikira, M.1    Sugiyama, M.2
  • 8
    • 79954585763 scopus 로고    scopus 로고
    • Climate model errors, feedbacks and forcings: A comparison of perturbed physics and multi-model ensembles
    • Collins, M., B. B. B. Booth, B. Bhaskaran, G. R. Harris, J. M. Murphy, D. M. Sexton, and M. J. Webb, 2011: Climate model errors, feedbacks and forcings: A comparison of perturbed physics and multi-model ensembles. Climate Dyn., 36, 1737-1766, doi:10.1007/s00382-010-0808-0.
    • (2011) Climate Dyn , vol.36 , pp. 1737-1766
    • Collins, M.1    Booth, B.B.B.2    Bhaskaran, B.3    Harris, G.R.4    Murphy, J.M.5    Sexton, D.M.6    Webb, M.J.7
  • 9
    • 79955446270 scopus 로고    scopus 로고
    • The ERA-Interim reanalysis: Configuration and performance of the data assimilation system
    • Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553-597, doi:10.1002/qj.828.
    • (2011) Quart. J. Roy. Meteor. Soc , vol.137 , pp. 553-597
    • Dee, D.P.1
  • 10
    • 84879936850 scopus 로고    scopus 로고
    • Mechanism of tropical low-cloud response to surface warming using weather and climate simulations
    • Demoto, S., M. Watanabe, and Y. Kamae, 2013: Mechanism of tropical low-cloud response to surface warming using weather and climate simulations. Geophys. Res. Lett., 40, 2427-2432, doi:10.1002/grl.50474.
    • (2013) Geophys. Res. Lett , vol.40 , pp. 2427-2432
    • Demoto, S.1    Watanabe, M.2    Kamae, Y.3
  • 11
    • 56349157052 scopus 로고    scopus 로고
    • An assessment of the primary sources of spread of global warming estimates from coupled atmosphere-ocean models
    • Dufresne, J.-L., and S. Bony, 2008: An assessment of the primary sources of spread of global warming estimates from coupled atmosphere-ocean models. J. Climate, 21, 5135-5144, doi:10.1175/2008JCLI2239.1.
    • (2008) J. Climate , vol.21 , pp. 5135-5144
    • Dufresne, J.-L.1    Bony, S.2
  • 12
    • 20044392537 scopus 로고    scopus 로고
    • Validation, parameterization dependence, and future projection of daily precipitation simulated with a high-resolution atmospheric GCM
    • Emori, S., A. Hasegawa, T. Suzuki, and K. Dairaku, 2005: Validation, parameterization dependence, and future projection of daily precipitation simulated with a high-resolution atmospheric GCM. Geophys. Res. Lett., 32, L06708, doi:10.1029/2004GL022306.
    • (2005) Geophys. Res. Lett , vol.32
    • Emori, S.1    Hasegawa, A.2    Suzuki, T.3    Dairaku, K.4
  • 13
    • 85015268726 scopus 로고    scopus 로고
    • Recent progress in constraining climate sensitivity with model ensembles
    • Fasullo, J. T., B. M. Sanderson, and K. E. Trenberth, 2015: Recent progress in constraining climate sensitivity with model ensembles. Curr. Climate Change Rep., 1, 268-275, doi:10.1007/s40641-015-0021-7.
    • (2015) Curr. Climate Change Rep , vol.1 , pp. 268-275
    • Fasullo, J.T.1    Sanderson, B.M.2    Trenberth, K.E.3
  • 14
    • 84858256367 scopus 로고    scopus 로고
    • The evolution of climate sensitivity and climate feedbacks in the Community Atmosphere Model
    • Gettelman, A., J. E. Kay, and K. M. Shell, 2012: The evolution of climate sensitivity and climate feedbacks in the Community Atmosphere Model. J. Climate, 25, 1453-1469, doi:10.1175/JCLI-D-11-00197.1.
    • (2012) J. Climate , vol.25 , pp. 1453-1469
    • Gettelman, A.1    Kay, J.E.2    Shell, K.M.3
  • 15
    • 20044368416 scopus 로고    scopus 로고
    • K-1 Tech. Rep
    • Hasumi, H., and S. Emori, Eds., 2004:K-1 coupledmodel (MIROC) description. K-1 Tech. Rep., 34 pp. [Available online at http://ccsr.aori.u-tokyo.ac.jp/;hasumi/miroc_description.pdf.]
    • (2004) K-1 coupledmodel (MIROC) description , pp. 34
    • Hasumi, H.1    Emori, S.2
  • 17
    • 84964555392 scopus 로고    scopus 로고
    • Robust cloud feedback over tropical land in a warming climate
    • Kamae, Y., T. Ogura, M. Watanabe, S.-P. Xie, and H. Ueda, 2016: Robust cloud feedback over tropical land in a warming climate. J. Geophys. Res. Atmos., 121, 2593-2609, doi:10.1002/2015JD024525.
    • (2016) J. Geophys. Res. Atmos , vol.121 , pp. 2593-2609
    • Kamae, Y.1    Ogura, T.2    Watanabe, M.3    Xie, S.-P.4    Ueda, H.5
  • 18
    • 0033401193 scopus 로고    scopus 로고
    • Validation and sensitivities of frontal clouds simulated by the ECMWF model
    • Klein, S. A., and C. Jakob, 1999: Validation and sensitivities of frontal clouds simulated by the ECMWF model. Mon. Wea. Rev., 127, 2514-2531, doi:10.1175/1520-0493(1999)127<2514: VASOFC>2.0.CO;2.
    • (1999) Mon. Wea. Rev , vol.127 , pp. 2514-2531
    • Klein, S.A.1    Jakob, C.2
  • 19
    • 84983569811 scopus 로고    scopus 로고
    • Emergent constraints for cloud feedbacks
    • Klein, S. A., and A. Hall, 2015: Emergent constraints for cloud feedbacks. Curr. Climate Change Rep., 1, 276-287, doi:10.1007/s40641-015-0027-1.
    • (2015) Curr. Climate Change Rep , vol.1 , pp. 276-287
    • Klein, S.A.1    Hall, A.2
  • 20
    • 79960351865 scopus 로고    scopus 로고
    • On constraining estimates of climate sensitivity with present-day observations through model weighting
    • Klocke, D., R. Pincus, and J. Quaas, 2011: On constraining estimates of climate sensitivity with present-day observations through model weighting. J. Climate, 24, 6092-6099, doi:10.1175/2011JCLI4193.1.
    • (2011) J. Climate , vol.24 , pp. 6092-6099
    • Klocke, D.1    Pincus, R.2    Quaas, J.3
  • 21
    • 60649110991 scopus 로고    scopus 로고
    • The equilibrium sensitivity of the Earth's temperature to radiation changes
    • Knutti, R., and G. C. Hegerl, 2008: The equilibrium sensitivity of the Earth's temperature to radiation changes. Nat. Geosci., 1, 735-743, doi:10.1038/ngeo337.
    • (2008) Nat. Geosci , vol.1 , pp. 735-743
    • Knutti, R.1    Hegerl, G.C.2
  • 22
    • 84876947207 scopus 로고    scopus 로고
    • Climate model genealogy: Generation CMIP5 and how we got there
    • Knutti, R., D. Masson, and A. Gettelman, 2013: Climate model genealogy: Generation CMIP5 and how we got there. Geophys. Res. Lett., 40, 1194-1199, doi:10.1002/grl.50256.
    • (2013) Geophys. Res. Lett , vol.40 , pp. 1194-1199
    • Knutti, R.1    Masson, D.2    Gettelman, A.3
  • 23
    • 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. Climate Dyn., 5, 175-187, doi:10.1007/BF00251808.
    • (1991) Climate Dyn , vol.5 , pp. 175-187
    • Le Treut, H.1    Li, Z.X.2
  • 24
    • 84862292968 scopus 로고    scopus 로고
    • Uncertainty: Climate models at their limit?
    • Maslin, M., and P. Austin, 2012: Uncertainty: Climate models at their limit? Nature, 486, 183-184, doi:10.1038/486183a.
    • (2012) Nature , vol.486 , pp. 183-184
    • Maslin, M.1    Austin, P.2
  • 25
    • 0018468345 scopus 로고
    • A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
    • McKay, M. D., R. J. Beckman, and W. J. Conover, 1979: A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics, 21, 239-245.
    • (1979) Technometrics , vol.21 , pp. 239-245
    • McKay, M.D.1    Beckman, R.J.2    Conover, W.J.3
  • 26
    • 0000265493 scopus 로고
    • A hierarchy of turbulence closure models for planetary boundary layers
    • Mellor, G. L., and T. Yamada, 1974: A hierarchy of turbulence closure models for planetary boundary layers. J. Atmos. Sci., 31, 1791-1806, doi:10.1175/1520-0469(1974)031<1791: AHOTCM>2.0.CO;2.
    • (1974) J. Atmos. Sci , vol.31 , pp. 1791-1806
    • Mellor, G.L.1    Yamada, T.2
  • 27
    • 0020330926 scopus 로고
    • Development of a turbulence closure model for geophysical fluid problems
    • Mellor, G. L., and T. Yamada, 1982: Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys., 20, 851-875, doi:10.1029/RG020i004p00851.
    • (1982) Rev. Geophys , vol.20 , pp. 851-875
    • Mellor, G.L.1    Yamada, T.2
  • 28
    • 4043124611 scopus 로고    scopus 로고
    • Quantification of modelling uncertainties in a large ensemble of climate change simulations
    • Murphy, J., D. M. H. Sexton, D. N. Barnett, G. S. Jones, M. J. Webb, M. Collins, and D. A. Stainforth, 2004: Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature, 430, 768-772, doi:10.1038/nature02771.
    • (2004) Nature , vol.430 , pp. 768-772
    • Murphy, J.1    Sexton, D.M.H.2    Barnett, D.N.3    Jones, G.S.4    Webb, M.J.5    Collins, M.6    Stainforth, D.A.7
  • 29
    • 0035370277 scopus 로고    scopus 로고
    • Improvement of the Mellor-Yamada turbulence closure model based on large-eddy simulation data
    • Nakanishi, M., 2001: Improvement of the Mellor-Yamada turbulence closure model based on large-eddy simulation data. Bound.-Layer Meteor., 99, 349-378, doi:10.1023/A:1018915827400.
    • (2001) Bound.-Layer Meteor , vol.99 , pp. 349-378
    • Nakanishi, M.1
  • 30
    • 1842731677 scopus 로고    scopus 로고
    • An improved Mellor-Yamada level-3 model with condensation physics: Its design and verification
    • Nakanishi, M., and H. Niino, 2004: An improved Mellor-Yamada level-3 model with condensation physics: Its design and verification. Bound.-Layer Meteor., 112, 1-31, doi:10.1023/B:BOUN.0000020164.04146.98.
    • (2004) Bound.-Layer Meteor , vol.112 , pp. 1-31
    • Nakanishi, M.1    Niino, H.2
  • 32
    • 0031871622 scopus 로고    scopus 로고
    • A cumulus parameterization with a prognostic closure
    • Pan, D. M., and D. A. Randall, 1998: A cumulus parameterization with a prognostic closure. Quart. J. Roy. Meteor. Soc., 124, 949-981, doi:10.1002/qj.49712454714.
    • (1998) Quart. J. Roy. Meteor. Soc , vol.124 , pp. 949-981
    • Pan, D.M.1    Randall, D.A.2
  • 33
    • 31544456597 scopus 로고    scopus 로고
    • Constraints on climate change from a multi-thousand member ensemble of simulations
    • Piani, C., D. J. Frame, D. A. Stainforth, and M. R. Allen, 2005: Constraints on climate change from a multi-thousand member ensemble of simulations. Geophys. Res. Lett., 32, L23825, doi:10.1029/2005GL024452.
    • (2005) Geophys. Res. Lett , vol.32
    • Piani, C.1    Frame, D.J.2    Stainforth, D.A.3    Allen, M.R.4
  • 34
    • 84862727533 scopus 로고    scopus 로고
    • Reconciling simulated and observed views of clouds: MODIS, ISCCP, and the limits of instrument simulators
    • Pincus, R., S. Platnick, S. A. Ackerman, R. S. Hemler, and R. J. P. Hofmann, 2012: Reconciling simulated and observed views of clouds: MODIS, ISCCP, and the limits of instrument simulators. J. Climate, 25, 4699-4720, doi:10.1175/JCLI-D-11-00267.1.
    • (2012) J. Climate , vol.25 , pp. 4699-4720
    • Pincus, R.1    Platnick, S.2    Ackerman, S.A.3    Hemler, R.S.4    Hofmann, R.J.P.5
  • 35
    • 84897579481 scopus 로고    scopus 로고
    • On the spread of changes in marine low cloud cover in climate model simulations of the 21st century
    • Qu, X., A. Hall, S. A. Klein, and P. M. Caldwell, 2014: On the spread of changes in marine low cloud cover in climate model simulations of the 21st century. Climate Dyn., 42, 2603-2626, doi:10.1007/s00382-013-1945-z.
    • (2014) Climate Dyn , vol.42 , pp. 2603-2626
    • Qu, X.1    Hall, A.2    Klein, S.A.3    Caldwell, P.M.4
  • 36
    • 43449087894 scopus 로고    scopus 로고
    • How well do coupled models simulate today's climate?
    • Reichler, T., and J. Kim, 2008: How well do coupled models simulate today's climate? Bull. Amer. Meteor. Soc., 89, 303-311, doi:10.1175/BAMS-89-3-303.
    • (2008) Bull. Amer. Meteor. Soc , vol.89 , pp. 303-311
    • Reichler, T.1    Kim, J.2
  • 37
    • 79952683753 scopus 로고    scopus 로고
    • MERRA: NASA's Modern-Era Retrospective Analysis for Research and Applications
    • Rienecker, M. M., and Coauthors, 2011:MERRA: NASA's Modern-Era Retrospective Analysis for Research and Applications. J. Climate, 24, 3624-3648, doi:10.1175/JCLI-D-11-00015.1.
    • (2011) J. Climate , vol.24 , pp. 3624-3648
    • Rienecker, M.M.1
  • 38
    • 79954998482 scopus 로고    scopus 로고
    • A multimodel study of parametric uncertainty in predictions of climate response to rising greenhouse gas concentrations
    • Sanderson, B. M., 2011: A multimodel study of parametric uncertainty in predictions of climate response to rising greenhouse gas concentrations. J. Climate, 24, 1362-1377, doi:10.1175/2010JCLI3498.1.
    • (2011) J. Climate , vol.24 , pp. 1362-1377
    • Sanderson, B.M.1
  • 39
    • 78649327281 scopus 로고    scopus 로고
    • Climate feedbacks determined using radiative kernels in a multithousand member ensemble of AOGCMs
    • Sanderson, B. M., K. M. Shell, and W. Ingram, 2010: Climate feedbacks determined using radiative kernels in a multithousand member ensemble of AOGCMs. Climate Dyn., 35, 1219-1236, doi:10.1007/s00382-009-0661-1.
    • (2010) Climate Dyn , vol.35 , pp. 1219-1236
    • Sanderson, B.M.1    Shell, K.M.2    Ingram, W.3
  • 40
    • 56349151384 scopus 로고    scopus 로고
    • Robust tropospheric warming revealed by iteratively homogenized radiosonde data
    • Sherwood, S. C., C. L. Meyer, R. J. Allen, and H. A. Titchner, 2008: Robust tropospheric warming revealed by iteratively homogenized radiosonde data. J. Climate, 21, 5336-5352, doi:10.1175/2008JCLI2320.1.
    • (2008) J. Climate , vol.21 , pp. 5336-5352
    • Sherwood, S.C.1    Meyer, C.L.2    Allen, R.J.3    Titchner, H.A.4
  • 41
    • 84892156525 scopus 로고    scopus 로고
    • Spread in model climate sensitivity traced to atmospheric convective mixing
    • Sherwood, S. C., S. Bony, and J.-L. Dufresne, 2014: Spread in model climate sensitivity traced to atmospheric convective mixing. Nature, 505, 37-42, doi:10.1038/nature12829.
    • (2014) Nature , vol.505 , pp. 37-42
    • Sherwood, S.C.1    Bony, S.2    Dufresne, J.-L.3
  • 42
    • 84869509286 scopus 로고    scopus 로고
    • Perturbed physics ensemble using the MIROC5 coupled atmosphere-ocean GCM without flux corrections: Experimental design and results
    • Shiogama, M., and Coauthors, 2012: Perturbed physics ensemble using the MIROC5 coupled atmosphere-ocean GCM without flux corrections: Experimental design and results. Climate Dyn., 39, 3041-3056, doi:10.1007/s00382-012-1441-x.
    • (2012) Climate Dyn , vol.39 , pp. 3041-3056
    • Shiogama, M.1
  • 43
    • 84905919525 scopus 로고    scopus 로고
    • Multi-parameter multi-physics ensemble (MPMPE): A new approach exploring the uncertainties of climate sensitivity
    • Shiogama, M., M. Watanabe, T. Ogura, T. Yokohata, and M. Kimoto, 2014: Multi-parameter multi-physics ensemble (MPMPE): A new approach exploring the uncertainties of climate sensitivity. Atmos. Sci. Lett., 15, 97-102, doi:10.1002/asl2.472.
    • (2014) Atmos. Sci. Lett , vol.15 , pp. 97-102
    • Shiogama, M.1    Watanabe, M.2    Ogura, T.3    Yokohata, T.4    Kimoto, M.5
  • 44
  • 45
    • 13444269104 scopus 로고    scopus 로고
    • Uncertainty in predictions of the climate response to rising levels of greenhouse gases
    • Stainforth, D. A., and Coauthors, 2005: Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature, 433, 403-406, doi:10.1038/nature03301.
    • (2005) Nature , vol.433 , pp. 403-406
    • Stainforth, D.A.1
  • 46
    • 84860684669 scopus 로고    scopus 로고
    • An overview of CMIP5 and the experiment design
    • Taylor, K. E., R. J. Stouffer, and G. A. Meehl, 2012: An overview of CMIP5 and the experiment design. Bull. Amer. Meteor. Soc., 93, 485-498, doi:10.1175/BAMS-D-11-00094.1.
    • (2012) Bull. Amer. Meteor. Soc , vol.93 , pp. 485-498
    • Taylor, K.E.1    Stouffer, R.J.2    Meehl, G.A.3
  • 47
    • 34547177691 scopus 로고    scopus 로고
    • The use of the multi-model ensemble in probabilistic climate projections
    • Tebaldi, C., and R. Knutti, 2007: The use of the multi-model ensemble in probabilistic climate projections. Philos. Trans. Roy. Soc. London, 365A, 2053-2075, doi:10.1098/rsta.2007.2076.
    • (2007) Philos. Trans. Roy. Soc. London , vol.365A , pp. 2053-2075
    • Tebaldi, C.1    Knutti, R.2
  • 48
    • 84932108727 scopus 로고    scopus 로고
    • On the connection between tropical circulation, convective mixing, and climate sensitivity
    • Tomassini, L., A. Voigt, and B. Stevens, 2015: On the connection between tropical circulation, convective mixing, and climate sensitivity. Quart. J. Roy. Meteor. Soc., 141, 1404-1416, doi:10.1002/qj.2450.
    • (2015) Quart. J. Roy. Meteor. Soc , vol.141 , pp. 1404-1416
    • Tomassini, L.1    Voigt, A.2    Stevens, B.3
  • 49
    • 33744745307 scopus 로고    scopus 로고
    • Importance of the mixedphase cloud distribution in the control climate for assessing the response of clouds to carbon dioxide increase: A multimodel study
    • Tsushima, Y., and Coauthors, 2006: Importance of the mixedphase cloud distribution in the control climate for assessing the response of clouds to carbon dioxide increase: A multimodel study. Climate Dyn., 27, 113-126, doi:10.1007/s00382-006-0127-7.
    • (2006) Climate Dyn , vol.27 , pp. 113-126
    • Tsushima, Y.1
  • 50
    • 84888055218 scopus 로고    scopus 로고
    • On the interpretation of inter-model spread in CMIP5 climate sensitivity estimates
    • Vial, J., J.-L. Dufresne, and S. Bony, 2013: On the interpretation of inter-model spread in CMIP5 climate sensitivity estimates. Climate Dyn., 41, 3339-3362, doi:10.1007/s00382-013-1725-9.
    • (2013) Climate Dyn , vol.41 , pp. 3339-3362
    • Vial, J.1    Dufresne, J.-L.2    Bony, S.3
  • 51
    • 77955584319 scopus 로고    scopus 로고
    • A PDFbased hybrid prognostic cloud scheme for general circulation models
    • Watanabe, M., S. Emori, M. Satoh, and H. Miura, 2009: A PDFbased hybrid prognostic cloud scheme for general circulation models. Climate Dyn., 33, 795-816, doi:10.1007/s00382-008-0489-0.
    • (2009) Climate Dyn , vol.33 , pp. 795-816
    • Watanabe, M.1    Emori, S.2    Satoh, M.3    Miura, H.4
  • 52
    • 78650547976 scopus 로고    scopus 로고
    • Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity
    • Watanabe, M., and Coauthors, 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335, doi:10.1175/2010JCLI3679.1.
    • (2010) J. Climate , vol.23 , pp. 6312-6335
    • Watanabe, M.1
  • 53
    • 84865091777 scopus 로고    scopus 로고
    • Using a multi-physics ensemble for exploring diversity in cloud-shortwave feedback in GCMs
    • Watanabe, M., and Coauthors, 2012: Using a multi-physics ensemble for exploring diversity in cloud-shortwave feedback in GCMs. J. Climate, 25, 5416-5431, doi:10.1175/JCLI-D-11-00564.1.
    • (2012) J. Climate , vol.25 , pp. 5416-5431
    • Watanabe, M.1
  • 54
    • 0034791589 scopus 로고    scopus 로고
    • Combining ERBE and ISCCP data to assess clouds in the Hadley Centre, ECMWF and LMD atmospheric climate models
    • Webb, M., C. Senior, S. Bony, and J. J. Morcrette, 2001: Combining ERBE and ISCCP data to assess clouds in the Hadley Centre, ECMWF and LMD atmospheric climate models. Climate Dyn., 17, 905-922, doi:10.1007/s003820100157.
    • (2001) Climate Dyn , vol.17 , pp. 905-922
    • Webb, M.1    Senior, C.2    Bony, S.3    Morcrette, J.J.4
  • 55
    • 33644666197 scopus 로고    scopus 로고
    • On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles
    • Webb, M., and Coauthors, 2006: On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles. Climate Dyn., 27, 17-38, doi:10.1007/s00382-006-0111-2.
    • (2006) Climate Dyn , vol.27 , pp. 17-38
    • Webb, M.1
  • 56
    • 84874816272 scopus 로고    scopus 로고
    • Origins of differences in climate sensitivity, forcing and feedback in climate models
    • Webb, M., F. Lambert, and J. Gregory, 2013: Origins of differences in climate sensitivity, forcing and feedback in climate models. Climate Dyn., 40, 677-707, doi:10.1007/s00382-012-1336-x.
    • (2013) Climate Dyn , vol.40 , pp. 677-707
    • Webb, M.1    Lambert, F.2    Gregory, J.3
  • 57
    • 0032740909 scopus 로고    scopus 로고
    • A microphysically based precipitation scheme for the UK Meteorological Office Unified Model
    • Wilson, D. R., and S. P. Ballard, 1999: A microphysically based precipitation scheme for the UK Meteorological Office Unified Model. Quart. J. Roy. Meteor. Soc., 125, 1607-1636, doi:10.1002/qj.49712555707.
    • (1999) Quart. J. Roy. Meteor. Soc , vol.125 , pp. 1607-1636
    • Wilson, D.R.1    Ballard, S.P.2
  • 58
    • 84882320373 scopus 로고    scopus 로고
    • Obtaining diverse behaviors in a climate model without the use of flux adjustments
    • Yamazaki, K., and Coauthors, 2013:Obtaining diverse behaviors in a climate model without the use of flux adjustments. J. Geophys. Res. Atmos., 118, 2781-2793, doi:10.1002/jgrd.50304.
    • (2013) J. Geophys. Res. Atmos , vol.118 , pp. 2781-2793
    • Yamazaki, K.1
  • 60
    • 84886725472 scopus 로고    scopus 로고
    • Reliability and importance of structural diversity of climate model ensembles
    • Yokohata, T., and Coauthors, 2013: Reliability and importance of structural diversity of climate model ensembles. Climate Dyn., 41, 2745-2763, doi:10.1007/s00382-013-1733-9.
    • (2013) Climate Dyn , vol.41 , pp. 2745-2763
    • Yokohata, T.1
  • 61
    • 84862735793 scopus 로고    scopus 로고
    • Computing and partitioning cloud feedbacks using cloud property histograms. Part I: Cloud radiative kernels
    • Zelinka, M. D., S. A. Klein, and D. L. Hartmann, 2012a: Computing and partitioning cloud feedbacks using cloud property histograms. Part I: Cloud radiative kernels. J. Climate, 25, 3715-3735, doi:10.1175/JCLI-D-11-00248.1.
    • (2012) J. Climate , vol.25 , pp. 3715-3735
    • Zelinka, M.D.1    Klein, S.A.2    Hartmann, D.L.3
  • 62
    • 84856973124 scopus 로고    scopus 로고
    • Computing and partitioning cloud feedbacks using cloud property histograms. Part II: Attribution to changes in cloud amount, altitude, and optical depth
    • Zelinka, M. D., S. A. Klein, and D. L. Hartmann, 2012b: Computing and partitioning cloud feedbacks using cloud property histograms. Part II: Attribution to changes in cloud amount, altitude, and optical depth. J. Climate, 25, 3736-3754, doi:10.1175/JCLI-D-11-00249.1.
    • (2012) J. Climate , vol.25 , pp. 3736-3754
    • Zelinka, M.D.1    Klein, S.A.2    Hartmann, D.L.3
  • 63
    • 84879994254 scopus 로고    scopus 로고
    • Contributions of different cloud types to feedbacks and rapid adjustments in CMIP5
    • Zelinka, M. D., S. A. Klein, K. Taylor, T. Andrews, M. Webb, J. Gregory, and P. Forster, 2013: Contributions of different cloud types to feedbacks and rapid adjustments in CMIP5. J. Climate, 26, 5007-5027, doi:10.1175/JCLI-D-12-00555.1.
    • (2013) J. Climate , vol.26 , pp. 5007-5027
    • Zelinka, M.D.1    Klein, S.A.2    Taylor, K.3    Andrews, T.4    Webb, M.5    Gregory, J.6    Forster, P.7
  • 64
    • 85006568652 scopus 로고    scopus 로고
    • CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models
    • Zhang, M., and Coauthors, 2013: CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models. J. Adv. Model. Earth Syst., 5, 826-842, doi:10.1002/2013MS000246.
    • (2013) J. Adv. Model. Earth Syst , vol.5 , pp. 826-842
    • Zhang, M.1
  • 65
    • 84897635713 scopus 로고    scopus 로고
    • An investigation of the connections among convection, clouds, and climate sensitivity in a global climatemodel
    • Zhao, M., 2014: An investigation of the connections among convection, clouds, and climate sensitivity in a global climatemodel. J. Climate, 27, 1845-1862, doi:10.1175/JCLI-D-13-00145.1.
    • (2014) J. Climate , vol.27 , pp. 1845-1862
    • Zhao, M.1


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