On the spread of changes in marine low cloud cover in climate model simulations of the 21st century

Climate Dynamics

Volumn 42, Issue 9-10, 2014, Pages 2603-2626

  Qu, Xin ^a   Hall, Alex ^a   Klein, Stephen A ^b   Caldwell, Peter M ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

EIS; Low cloud cover; SST

Indexed keywords

AEROSOL COMPOSITION; BOUNDARY LAYER; CLIMATE CHANGE; CLIMATE MODELING; CLOUD COVER; ENVIRONMENTAL FACTOR; GREENHOUSE GAS; HEURISTICS; MARINE ATMOSPHERE; PARAMETERIZATION; SEA SURFACE TEMPERATURE; TWENTY FIRST CENTURY;

EID: 84897579481     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-013-1945-z     Document Type: Article

References (91)

1. Albrecht BA (1989) Aerosols, cloud microphysics, and fractional cloudiness. Science 245: 1227-1230.
2. Andrews T, Gregory JM, Webb MJ, Taylor KE (2012) Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere-ocean climate models. Geophys Res Lett 39: L09712. doi: 10. 1029/2012GL051607.
3. Bao Q et al (2013) The flexible global ocean-atmosphere-land system model, spectral version 2: FGOALS-s2. Adv Atm Sci 30: 561-576. doi: 10. 1007/s00376-012-2113-9.
4. Bentsen M et al (2012) The Norwegian earth system model, NorESM1-M-part 1: description and basic evaluation. Geosci Model Dev Discuss 5: 2843-2931.
5. Bony S et al (2006) How well do we understand and evaluate climate change feedback processes? J Clim 19: 3445-3482.
6. Bony S, Dufresne JL (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.
7. Bretherton CS, Wyant MC (1997) Moisture transport, lower tropospheric stability and decoupling of cloud-topped boundary layers. J Atmos Sci 54: 148-167.
8. Bretherton CS, Blossey PN, Jones CR (2013) Mechanisms of marine low cloud sensitivity to idealized climate perturbations: a single-LES exploration extending the CGILS cases. J Adv Model Earth Syst 5. doi: 10. 1002/jame. 20019.
9. Brient F, Bony S (2012) Interpretation of the positive low cloud feedback predicted by a climate model under global warming. Clim Dyn. doi: 10. 1007/s00382-011-1279-7.
10. Caldwell PM, Zhang Y, Klein SA (2013) CMIP3 subtropical stratocumulus cloud feedback interpreted through a Mixed-Layer Model. J Clim 26: 1607-1625.
11. Cess RD et al (1990) Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models. J Geophys Res 95: 16601-16615.
12. Chen J, Rossow WB, Zhang Y (2000) Radiative effects of cloud-type variations. J Clim 13: 264-286.
13. Chung D, Teixeira J (2012) A simple model for stratocumulus to shallow cumulus cloud transitions. J Clim 25: 2547-2554. doi: 10. 1175/JCLI-D-11-00105. 1.
14. Chylek P, Li J, Dubey MK, Wang M, Lesins G (2011) Observed and model simulated 20th century Arctic temperature variability: Canadian Earth System Model CanESM2. Atmos Chem Phys Discuss 11: 22893-22907. http://www. atmos-chem-phys-discuss. net/11/22893/2011/ doi: 10. 5194/acpd-11-22893-2011.
15. Clement AC, Burgman R, Norris JR (2009) Observational and model evidence for positive low-level cloud feedback. Science 325(5939): 460. doi: 10. 1126/science. 1171255.
16. Collins WD, Rasch PJ, Boville BA, McCaa JR, Williamson DL, Kiehl JT, Briegleb B, Bitz C, Lin SJ, Zhang M, Dai Y (2004) Description of the NCAR community atmosphere model (CAM 3. 0), CGD, TN-464+STR, 214pp.
17. Colman R (2003) A comparison of climate feedbacks in general circulation models. Clim Dyn 20: 865-873.
18. Dee DP et al (2011) The ERA-Interim reanalysis: configuration and perfor-mance of the data assimilation system. Quart J R Meteorol Soc 137: 553-597.
19. Delworth TL et al (2006) GFDL's CM2 global coupled climate models-part 1: formulation and simulation characteristics. J Clim 19: 643-674.
20. Déqué M, Dreveton C, Braun A, Cariolle D (1994) The ARPEGE/IFS atmosphere model: a contribution to the French community climate modelling. Clim Dyn 10: 249-266.
21. Donner LJ 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: 3484-3519.
22. Dufresne JL, Bony S (2008) An assessment of the primary sources of spread of global warming estimates from coupled atmosphere-ocean models. J Clim 2: 5135-5144.
23. Dufresne JL et al (2013) Climate change projections using the IPSL-CM5 earth system model: from CMIP3 to CMIP5. Clim Dyn 40: 2123-2165.
24. Dunne JP et al (2012) GFDL's ESM2 Global coupled climate carbon earth system models. Part I: physical formulation and baseline simulation characteristics. J Clim 25: 6646-6665.
25. Eitzen ZA, Xu KM, Wong T (2011) An estimate of low-cloud feedbacks from variations of cloud radiative and physical properties with sea surface temperature on interannual time scales. J Clim 24: 1106-1121. doi: 10. 1175/2010JCLI3670. 1.
26. Garay MJ, de Szoeke SP, Moroney CM (2008) Comparison of marine stratocumulus cloud top heights in the southeastern Pacific retrieved from satellites with coincident ship-based observations. J Geophys Res 113: D18204. doi: 10. 1029/2008JD009975.
27. Gordon C et al (2000) The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16: 147-168.
28. Gordon HB et al (2002) The CSIRO Mk3 climate system model. [Electronic publication]. Aspendale: CSIRO Atmospheric Research. (CSIRO Atmospheric Research technical paper; no. 60). 130pp.
29. 2 forcing. J Clim 21: 58-71. doi: 10. 1175/2007JCLI1834. 1.
30. Hartmann DL, Ockert-Bell ME, Michelsen ML (1992) The effect of cloud type on earth's energy balance: global analysis. J Clim 5: 1281-1304.
31. Hourdin F et al (2006) The LMDZ4 general circulation model: climate performance and sensitivity to parametrized physics with emphasis on tropical convection. Clim Dyn 27: 787-813. doi: 10. 1007/s00382-006-0158-0.
32. Jakob C (2001) The representation of cloud cover in atmospheric general circulation models. PhD Thesis, Ludwig-Maximilians-Universitaet, 193pp, available from ECMWF.
33. King MD, Kaufman Y, Menzel WP, Tanré D (1992) Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectroradiometer (modis). IEEE Trans Geosci Remote Sens 30: 2-27.
34. Klein SA, Hartmann DL (1993) The seasonal cycle of low stratiform clouds. J Clim 6: 1587-1606.
35. Knutti R, Masson D, Gettelman A (2013) Climate model genealogy: generation CMIP5 and how we got there. Geophys Res Lett 40: 1194-1199. doi: 10. 1002/grl. 50256.
36. K-1 model developers (2004) K-1 coupled model (MIROC) description, K-1 technical report, 1. In: Hasumi H, Emori S (eds) Center for climate system research, University of Tokyo, 34pp.
37. Larson K, Hartmann DL, Klein SA (1999) The role of clouds, water vapor, circulation, and boundary layer structure in the sensitivity of the tropical climate. J Clim 12: 2359-2374.
38. Lau WM, Ho CH, Chou MD (1996) Water vapor and cloud feedback over tropical oceans: can we use ENSO as a surrogate for climate change?. Geophys Res Lett 23: 2971-2974.
39. Liu Z, Vavrus S, He F, Wen N, Zhong Y (2005) Rethinking tropical ocean response to global warming: the enhanced equatorial warming. J Clim 18: 4684-4700.
40. Lohmann U, Feichter J (2001) Can the direct and semi-direct aerosol effect compete with the indirect effect on a global scale? Geophys Res Lett 28: 159-161.
41. Martin GM et al (2011) The HadGEM2 family of met office unified model climate configurations. Geosci Model Dev 4: 723-757.
42. Medeiros B, Stevens B (2011) Revealing differences in GCM representations of low clouds. Clim Dyn 36: 385-399. doi: 10. 1007/s00382-009-0694-5.
43. Medeiros B, Stevens B, Held IM, Zhao M, Williamson DL, Olson JG, Bretherton CS (2008) Aquaplanets, climate sensitivity, and low clouds. J Clim 21: 4974-4991.
44. Miller RL (1997) Tropical thermostats and low cloud cover. J Clim 10: 409-440.
45. 2 and climate: a missing feedback?. Nature, 341: 132-134.
46. Moeng CH, Stevens B (2000) Marine stratocumulus and its representation in GCMs. Book chapter on general circulation model development: past, present, and future, proceedings of a symposium in honor of Professor Akio Arakawa. Ed. D. A. Randall, Published by Academic Press, 807pp.
47. Nakićenović N et al (2000) IPCC Special report on emissions scenarios. Cambridge University Press, Cambridge.
48. Neale RB et al (2010) Description of the NCAR community atmosphere model (CAM 4. 0). Technical Report, NCAR.
49. Norris JR (2001) Has northern Indian Ocean Cloud cover changed due to increasing anthropogenic aerosol?. Geophys Res Lett 28: 3271-3274. doi: 10. 1029/2001GL013547.
50. Reynolds RW, Rayner NA, Smith TM, Stokes DC, Wang W (2002) An improved in situ and satellite SST analysis for climate. J Clim 15: 1609-1625.
51. Rieck M, Nuijens L, Stevens B (2012) Marine boundary layer cloud feedbacks in a constant relative humidity atmosphere. J Atmos Sci 69: 2538-2550.
52. Roeckner E et al (1996) The atmospheric general circulation model ECHAM-4: model description and simulation of present-day climate. Reports of the Max- Planck-Institute, Hamburg, No. 218, 90pp.
53. Roeckner E et al (2003) The atmospheric general circulation model ECHAM5. Part I: model description. Max Planck Institute for Meteorology Rep. 349, 127pp.
54. Rossow WB, Schiffer RA (1991) ISCCP cloud data products. Bull Am Meteorol Soc 72: 2-20.
55. Rotstayn LD, Collier MA, Dix MR, Feng Y, Gordon HB, O'Farrell SP, Smith IN, Syktus J (2010) Improved simulation of Australian climate and ENSO-related rainfall variability in a global climate model with an interactive aerosol treatment. Int J Climatol 30: 1067-1088. doi: 10. 1002/joc. 1952.
56. Schmidt GA et al (2006) Present-day atmospheric simulations Using GISS ModelE: comparison to in situ, satellite, and reanalysis data. J Clim 19: 153-192.
57. Schmidt GA et al (2013) Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive. J Adv Model Earth Syst (submitted).
58. Scinocca JF, McFarlane NA, Lazare M, Li J, Plummer D (2008) Technical Note: the CCCma third generation AGCM and its extension into the middle atmosphere. Atmos Chem Phys 8: 7055-7074.
59. Senior CA, Mitchell JFB (1993) Carbon dioxide and climate: the impact of cloud parameterization. J Clim 6: 393-418.
60. Slingo A (1990) Sensitivity of the earth's radiation budget to changes in low clouds. Nature 343: 49-51.
61. Slingo JM (1980) A cloud parameterization scheme derived from GATE data for use with a numerical model. Quart J Roy Meteorol Soc 106: 747-770.
62. Slingo JM (1987) The development and verification of a cloud prediction scheme for the ECMWF model. Quart J R Meteorol Soc 113: 899-927.
63. Soden BJ, Held IM (2006) An assessment of climate feedbacks in coupled ocean-atmosphere models. J Clim 19: 3354-3360.
64. Soden BJ, Vecchi GA (2011) The vertical distribution of cloud feedback in coupled ocean-atmosphere models. Geophys Res Lett 38: L12704. doi: 10. 1029/2011GL047632.
65. Stephens GL (2005) Cloud feedbacks in the climate system: a critical review. J Clim 18: 237-273.
66. Stevens B et al (2013) The atmospheric component of the MPI-M Earth System Model: ECHAM6. J Adv Model Earth Syst 5: 146-172.
67. Sun F, Hall A, Qu X (2011) On the relationship between low cloud variability and lower tropospheric stability in the Southeast Pacic. Atmos Chem Phys 11: 9053-9065. doi: 10. 5194/acp-11-9053-2011.
68. Sutton RT, Dong B, Gregory JM (2007) Land/sea warming ratio in response to climate change: IPCC AR4 model results and comparison with observations. Geophys Res Lett 34: L02701. doi: 10. 1029/2006GL028164.
69. Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93: 485-498.
70. Tiedtke M (1993) Representation of clouds in large-scale models. Mon Wea Rev 121: 3040-3061.
71. Vecchi GA, Soden BJ, Wittenberg AT, Held IM, Leetmaa A, Harrison MJ (2006) Weakening of tropical Pacific atmospheric circulation due to anthropogenic forcing. Nature 441. doi: 10. 1038/nature04744.
72. Volodin EM, Diansky NA (2004) El-Nino reproduction in coupled general circulation model of atmosphere and ocean. Russian Meteorol Hydrol 12: 5-14.
73. Washington WM et al (2000) Parallel climate model (PCM) control and transient simulations. Clim Dyn 16: 755-774.
74. Watanabe M, Emori S, Satoh M, Miura H (2009) A PDF-based hybrid prognostic cloud scheme for general circulation models. Clim Dyn 33: 795-816.
75. Watanabe M et al (2010) Improved climate simulation by MIROC5: mean states, variability, and climate sensitivity. J Clim 23: 6312-6335.
76. Watanabe S et al (2011) MIROC-ESM: model description and basic results of CMIP5-20c3m experiments. Geosci Model Dev Discuss 4: 1063-1128. doi: 10. 5194/gmdd-4-1063-2011.
77. Watanabe M et al (2012) Fast and slow timescales in the tropical low-cloud response to increasing CO2 in two climate models. Clim Dyn 39: 1627-1641. doi: 10. 1007/s00382-011-1178-y.
78. Weaver CP, Ramanathan V (1997) Relationships between large-scale vertical velocity, static stability, and cloud radiative forcing over northern hemisphere extratropical oceans. J Clim 10: 2871-2887.
79. Webb MJ 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.
80. Webb MJ, Lambert FH, Gregory JM (2012) Origins of differences in climate sensitivity, forcing and feedback in climate models. Clim Dyn. doi: 201210. 1007/s00382-012-1336-x.
81. Williams KD, Ringer M, Senior C (2003) On evaluating cloud feedback: comparing the response to increased greenhouse gases with current climate variability. Clim Dyn 20: 705-721.
82. Williams KD et al (2006) Evaluation of a component of the cloud response to climate change in an intercomparison of climate models. Clim Dyn 26: 145-165.
83. Wood R, Bretherton CS (2006) On the relationship between stratiform low cloud cover and lower-tropospheric stability. J Clim 19: 6425-6432.
84. Wu T et al (2010) The Beijing climate center atmospheric general circulation model: description and its performance for the present-day climate. Clim Dyn 34: 123-147. doi: 10. 1007/s00382-008-0487-2.
85. Wyant MC, Khairoutdinov M, Bretherton CS (2006) Climate sensitivity and cloud response of a GCM with a superparameterization. Geophys Res Let 33: L06714. doi: 10. 1029/2005GL025464.
86. Yao MS, Del Genio AD (1999) Effects of cloud parameterization on the simulation of climate changes in the GISS GCM. J Clim 12: 761-779.
87. Yu Y, Zhang X, Guo Y (2004) Global coupled ocean- atmosphere general circulation models in LASG/IAP. Adv Atmos Sci 21: 444-455.
88. Yukimoto S et al (2001) The new meteorological research institute coupled GCM (MRI-CGCM2): model climate and variability. Meteorol Geophys 51: 47-88.
89. Yukimoto S et al (2011) Meteorological Research Institute-Earth System Model Version 1 (MRI-ESM1): model description. Technical Report of the Meteorological Research Institute, 64, 83pp.
90. Zhang MH, Bretherton C (2008) Mechanisms of low cloud-climate feedback in idealized single-column simulations with the community atmospheric model, version 3 (CAM3). J Clim 21: 4859-4878.
91. Zelinka MD, Klein SA, Hartmann DL (2012) Computing and partitioning cloud feedbacks using cloud property histograms. Part II: attribution to changes in cloud amount, altitude, and optical depth. J Clim 25: 3736-3754.