Climate and climate sensitivity to changing CO2 on an idealized land planet

Journal of Advances in Modeling Earth Systems

Volumn 6, Issue 4, 2014, Pages 1205-1223

  Becker, Tobias ^a   Stevens, Bjorn ^a  

^a MAX PLANCK INSTITUTE FOR METEOROLOGY   (Germany)

Author keywords

climate change; climate feedbacks; climate sensitivity; land planet; land ocean warming contrast; radiative convective equilibrium

Indexed keywords

AGGLOMERATION; ATMOSPHERIC TEMPERATURE; CARBON DIOXIDE; EVAPORATION; FEEDBACK; HEAT FLUX; HEAT RESISTANCE; OCEANOGRAPHY; PERTURBATION TECHNIQUES; PRECIPITATION (METEOROLOGY); SPECIFIC HEAT; SURFACE PROPERTIES; TEMPERATURE;

CLIMATE FEEDBACKS; CLIMATE SENSITIVITY; GENERAL CIRCULATION MODEL; GLOBAL MEAN SURFACE TEMPERATURE; OCEAN WARMING; RADIATIVE-CONVECTIVE EQUILIBRIUM; SURFACE LATENT HEAT FLUXES; THERMODYNAMIC SURFACE;

CLIMATE CHANGE;

CARBON DIOXIDE; CLIMATE CHANGE; GLOBAL WARMING; LATENT HEAT FLUX; PRECIPITATION (CLIMATOLOGY); SENSITIVITY ANALYSIS; SLAB; SURFACE TEMPERATURE; THERMODYNAMICS; TROPICAL ENVIRONMENT; TROPOSPHERE; WATER VAPOR;

EID: 85027939481     PISSN: None     EISSN: 19422466     Source Type: Journal    
DOI: 10.1002/2014MS000369     Document Type: Article

References (44)

1. Allan, R. P., (2011), Combining satellite data and models to estimate cloud radiative effect at the surface and in the atmosphere, Meteorol. Appl., 18 (3), 324-333, doi: 10.1002/met.285.
2. Bechtold, P., J.-P. Chaboureau, A. Beljaars, A. K. Betts, M. Köhler, M. Miller, and, J.-L. Redelsperger, (2004), The simulation of the diurnal cycle of convective precipitation over land in a global model, Q. J. R. Meteorol. Soc., 130 (604), 3119-3137, doi: 10.1256/qj.03.103.
3. Bluestein, H. B., and, C. R. Parks, (1983), A synoptic and photographic climatology of low-precipitation severe thunderstorms in the Southern Plains, Mon. Weather Rev., 111 (10), 2034-2046.
4. Bowman, K. P., J. C. Collier, G. R. North, Q. Y. Wu, E. H. Ha, and, J. Hardin, (2005), Diurnal cycle of tropical precipitation in Tropical Rainfall Measuring Mission (TRMM) satellite and ocean buoy rain gauge data, J. Geophys. Res., 110, D21104, doi: 10.1029/2005JD005763.
5. Bretherton, C. S., P. N. Blossey, and, M. F. Khairoutdinov, (2005), An energy-balance analysis of deep convective self-aggregation above uniform SST, J. Atmos. Sci., 62 (12), 4273-4292, doi: 10.1175/JAS3614.1.
6. Byrne, M. P., and, P. A. O'Gorman, (2013), Link between land-ocean warming contrast and surface relative humidities in simulations with coupled climate models, Geophys. Res. Lett., 40, 5223-5227, doi: 10.1002/grl.50971.
7. Colman, R. A., and, B. J. McAvaney, (1997), A study of general circulation model climate feedbacks determined from perturbed sea surface temperature experiments, J. Geophys. Res., 102 (D16), 19,383-19,402, doi: 10.1029/97JD00206.
8. Cronin, T. W., K. A. Emanuel, and, P. Molnar, (2014), Island precipitation enhancement and the diurnal cycle in radiative-convective equilibrium, Q. J. R. Meteorol. Soc., Boston, USA, doi: 10.1002/qj.2443, in press.
9. Cronin, T. W., and, K. A. Emanuel, (2013), The climate time scale in the approach to radiative-convective equilibrium, J. Adv. Model. Earth Syst., 5, 843-849, doi: 10.1002/jame.20049.
10. Emanuel, K., A. A. Wing, and, E. M. Vincent, (2014), Radiative-convective instability, J. Adv. Model. Earth Syst., 6, 75-90, doi: 10.1002/2013MS000270.
11. Fasullo, J. T., (2010), Robust land-ocean contrasts in energy and water cycle feedbacks, J. Clim., 23 (17), 4677-4693, doi: 10.1175/2010JCLI3451.1.
12. Giorgetta, M. A., et al. (2013), Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 5, J. Adv. Model. Earth Syst., 5, 572-597, doi: 10.1002/jame.20038.
13. 2 forcing, J. Clim., 21 (1), 58-71, doi: 10.1175/2007JCLI1834.1.
14. Held, I. M., M. Zhao, and, B. Wyman, (2007), Dynamic radiative-convective equilibria using GCM column physics, J. Atmos. Sci., 64 (1), 228-238, doi: 10.1175/JAS3825.11.
15. Jackson, L. S., and, P. M. Forster, (2010), An empirical study of geographic and seasonal variations in diurnal temperature range, J. Clim., 23 (12), 3205-3221, doi: 10.1175/2010JCLI3215.1.
16. Joshi, M. M., J. M. Gregory, M. J. Webb, D. M. H. Sexton, and, T. C. Johns, (2008), Mechanisms for the land/sea warming contrast exhibited by simulations of climate change, Clim. Dyn., 30 (5), 455-465, doi: 10.1007/s00382-007-0306-1.
17. Joshi, M. M., F. H. Lambert, and, M. J. Webb, (2013), An explanation for the difference between twentieth and twenty-first century land-sea warming ratio in climate models, Clim. Dyn., 41 (7-8), 1853-1869, doi: 10.1007/s00382-013-1664-5.
18. Klocke, D., J. Quaas, and, B. Stevens, (2013), Assessment of different metrics for physical climate feedbacks, Clim. Dyn., 41 (5-6), 1173-1185, doi: 10.1007/s00382-013-1757-1.
19. Kraus, E. B., (1963), The diurnal precipitation change over the sea, J. Atmos. Sci., 20 (6), 551-556.
20. Lawrence, D. M., and, J. M. Slingo, (2005), Weak land-atmosphere coupling strength in HadAM3: The role of soil moisture variability, J. Hydrometeorol., 6 (5), 670-680, doi: 10.1175/JHM445.1.
21. Manabe, S., and, R. F. Strickler, (1964), Thermal equilibrium of the atmosphere with a convective adjustment, J. Atmos. Sci., 21 (4), 361-385.
22. 2. Part I. Annual mean response, J. Clim., 4 (8), 785-818.
23. Mauritsen, T., et al. (2012), Tuning the climate of a global model, J. Adv. Model. Earth Syst., 4, M00A01, doi: 10.1029/2012MS000154.
24. Mauritsen, T., R. G. Graversen, D. Klocke, P. L. Langen, B. Stevens, and, L. Tomassini, (2013), Climate feedback efficiency and synergy, Clim. Dyn., 41 (9-10), 2539-2554, doi: 10.1007/s00382-013-1808-7.
25. Meraner, K., T. Mauritsen, and, A. Voigt, (2013), Robust increase in equilibrium climate sensitivity under global warming, Geophys. Res. Lett., 40, 5944-5948, doi: 10.1002/2013GL058118.
26. Möbis, B., and, B. Stevens, (2012), Factors controlling the position of the intertropical convergence zone on an aquaplanet, J. Adv. Model. Earth Syst., 4, M00A04, doi: 10.1029/2012MS000199.
27. Muller, C. J., and, I. M. Held, (2012), Detailed investigation of the self-aggregation of convection in cloud-resolving simulations, J. Atmos. Sci., 69 (8), 2551-2565, doi: 10.1175/JAS-D-11-0257.1.
28. Nordeng, T. E., (1994), Extended versions of the convective parametrization scheme at ECMWF and their impact on the mean and transient activity of the model in the tropics, ECMWF Tech. Memo. 206, Eur. Cent. for Medium-Range Weather Forecasts, Reading, U. K.
29. Popke, D., B. Stevens, and, A. Voigt, (2013), Climate and climate change in a radiative convective equilibrium version of ECHAM6, J. Adv. Model. Earth Syst., 5, 1-14, doi: 10.1029/2012MS000191.
30. Ramanathan, V., and, J. A. Coakley, (1978), Climate modeling through radiative-convective models, Rev. Geophys. Space Phys., 16 (4), 465-489.
31. Rochetin, N., B. R. Lintner, K. L. Findell, A. H. Sobel, and, P. Gentine, (2014), Radiative convective equilibrium over a land surface, J. Climate., doi: 10.1175/JCLI-D-13-00654.1, in press.
32. Roeckner, E., et al. (2003), The atmospheric general circulation model ECHAM5â Part I, Tech. Rep. 349, Max Planck Inst. for Meteorol., Hamburg, Germany.
33. Soden, B. J., and, I. M. Held, (2006), An assessment of climate feedbacks in coupled ocean-atmosphere models, J. Clim., 19 (14), 3354-3360, doi: 10.1175/JCLI3799.1.
34. Stevens, B., and, S. Bony, (2013), Water in the atmosphere, Phys. Today, 66 (6), 29-34.
35. Stevens, B., et al. (2013), Atmospheric component of the MPI-M Earth System Model: ECHAM6, J. Adv. Model. Earth Syst., 5, 146-172, doi: 10.1002/jame.20015.
36. Sutton, R. T., B. Dong, and, J. M. Gregory, (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.
37. Takahashi, K., (2012), Thermotidal and land-heating forcing of the diurnal cycle of oceanic surface winds in the eastern tropical Pacific, Geophys. Res. Lett., 39, L04805, doi: 10.1029/2011GL050692.
38. Taylor, K. E., R. J. Stouffer, and, G. A. Meehl, (2012), An overview of CMIP5 and the experiment design, Bull. Am. Meteorol. Soc., 93 (4), 485-498, doi: 10.1175/BAMS-D-11-00094.1.
39. Tobin, I., S. Bony, and, R. Roca, (2012), Observational evidence for relationships between the degree of aggregation of deep convection, water vapor, surface fluxes, and radiation, J. Clim., 25, 6885-6904.
40. Tompkins, A. M., and, G. C. Craig, (1998a), Radiative-convective equilibrium in a three-dimensional cloud-ensemble model, Q. J. R. Meteorol. Soc., 124 (550), 2073-2097, doi: 10.1002/qj.49712455013.
41. Tompkins, A. M., and, G. C. Craig, (1998b), Time-scales of adjustment to radiative-convective equilibrium in the tropical atmosphere, Q. J. R. Meteorol. Soc., 124 (552), 2693-2713, doi: 10.1256/smsqj.55207.
42. Trenberth, K. E., and, D. P. Stepaniak, (2004), The flow of energy through the earth's climate system, Q. J. R. Meteorol. Soc., 130 (603), 2677-2701, doi: 10.1256/qj.04.83.
43. Vial, J., J.-L. Dufresne, and, S. Bony, (2013), On the interpretation of inter-model spread in CMIP5 climate sensitivity estimates, Clim. Dyn., 41 (11-12), 3339-3362, doi: 10.1007/s00382-013-1725-9.
44. Wetherald, R. T., and, S. Manabe, (1988), Cloud feedback processes in a general circulation model, J. Atmos. Sci., 45, 1397-1416.