Probabilistic simulations of the impact of increasing leaf-level atmospheric carbon dioxide on the global land surface

Climate Dynamics

Volumn 34, Issue 2, 2010, Pages 361-379

  Cruz, F T ^a   Pitman, A J ^a   McGregor, J L ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b Bureau of Meteorology Centre for Australian Weather and Climate Research   (Australia)

Author keywords

Biospheric feedbacks; Global climate modelling; Physiological response; Terrestrial processes

Indexed keywords

AIR TEMPERATURE; ATMOSPHERIC CHEMISTRY; CARBON DIOXIDE; CLIMATE MODELING; EVAPORATION; GLOBAL CLIMATE; LAND SURFACE; LATENT HEAT FLUX; PHYSIOLOGICAL RESPONSE; PRECIPITATION (CLIMATOLOGY); PROBABILITY DENSITY FUNCTION; SIMULATION;

EID: 77949266108     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-008-0497-0     Document Type: Article

References (71)

1. Abramowitz G (2005) Towards a benchmark for land surface models. Geophys Res Lett 32: L22702. doi: 10. 1029/2005GL024419.
2. Abramowitz G, Leuning R, Clark M, Pitman A (2008) Evaluating the performance of land surface models. J Clim 21: 5468-5481. doi: 10. 1175/2008JCLI2378. 1.
3. 2. New Phytol 165(2): 351-372. doi: 10. 1111/j. 1469-8137. 2004. 01224. x.
4. 2]: molecular mechanisms and environmental interactions. Plant Cell Environ 30(3): 258-270. doi: 10. 1111/j. 1365-3040. 2007. 01641. x.
5. Ball JT (1988) An analysis of stomatal conductance, Ph. D. thesis. Stanford University, Stanford.
6. Ball JT, Woodrow IE, Berry J (1987) A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. In Progress in Photosynthesis Research. Martinus Nijhoff Publishers, The Netherlands, pp 221-224.
7. 2] are closely coupled with decreases in ecosystem evapotranspiration. Plant Physiol 143: 134-144. doi: 10. 1104/pp. 106. 089557.
8. Betts RA, Cox PM, Lee SE, Woodward FI (1997) Contrasting physiological and structural vegetation feedbacks in climate change simulations. Nature 387: 796-799. doi: 10. 1038/42924.
9. Betts RA, Cox PM, Collins M, Harris PP, Huntingford C, Jones CD (2004) The role of ecosystem-atmosphere interactions in simulated Amazonian precipitation decrease and forest dieback under global climate warming. Theor Appl Climatol 78: 157-175. doi: 10. 1007/s00704-004-0050-y.
10. Betts RA, Boucher O, Collins M, Cox PM, Falloon PD, Gedney N, Hemming DL, Huntingford C, Jones CD, Sexton DMH, Webb MJ (2007) Projected increase in continental runoff due to plant responses to increasing carbon dioxide. Nature 448: 1037-1042.
11. 2. J Clim 12: 309-324.
12. Calvet J-C, Gibelin A-L, Roujean J-L, Martin E, Le Moigne P, Douville H, Noilhan J (2008) Past and future scenarios of the effect of carbon dioxide on plant growth and transpiration for three vegetation types of southwestern France. Atmos Chem Phys 8: 397-406.
13. Cowan IR, Farquhar GD (1977) Stomatal function in relation to leaf metabolism and environment. Symp Soc Exp Biol 31: 471-505.
14. Cox PM, Betts RA, Collins M, Harris PP, Huntingford C, Jones CD (2004) Amazonian forest dieback under climate-carbon cycle projections for the 21st century. Theor Appl Climatol 78: 137-156. doi: 10. 1007/s00704-004-0049-4.
15. Cox PM, Harris PP, Huntingford C, Betts RA, Collins M, Jones CD, Jupp TE, Marengo JA, Nobre CA (2008) Increasing risk of Amazonian drought due to decreasing aerosol pollution. Nature 453: 212-215. doi: 10. 1038/nature06960.
16. Dickinson RE, Shaikh M, Bryant R, Graumlich L (1998) Interactive canopies for a climate model. J Clim 11: 2823-2836.
17. Farquhar GD, von Caemmerer S (1982) Modeling of photosynthetic response to environmental conditions. In: Lange OL, Nobel PS, Osmond CB, Ziegler H (eds) Physiological plant ecology. II. Water relations and carbon assimilation, encyclopedia of plant physiology, vol 12B. Springer, New York, pp 549-587.
18. 2 assimilation in leaves of C3 species. Planta 149: 78-90.
19. 2: implications from the plant to the global scale. Plant Cell Environ 18: 1214-1225.
20. Findell KL, Knutson TR, Milly PCD (2006) Weak simulated extratropical responses to complete tropical deforestation. J Clim 19: 2835-2850.
21. Finkele K, Katzfey JJ, Kowalczyk EA, McGregor JL, Zhang L, Raupach MR (2003) Modelling of the Oasis energy flux measurements using two canopy concepts. Bound-Lay Meteorol 107: 49-79.
22. Fox-Rabinovitz M, Côté J, Dugas B, Déqué M, McGregor JL (2006) Variable resolution general circulation models: stretched-grid model intercomparison project (SGMIP). J Geophys Res 111: D16104. doi: 10. 1029/2005JD006520.
23. Fu C, Wang S, Xiong Z, Gutowski WJ, Lee DK, McGregor JL, Sato Y, Kato H, Kim JW, Suh MS (2005) Regional climate model intercomparison project for Asia. Bull Am Meteorol Soc 86: 257-266. doi: 10. 1175/BAMS-86-2-257.
24. Kowalczyk EA, Garratt, JR, Krummel PB (1994) Implementation of a soil-canopy scheme into the CSIRO GCM-regional aspects of the model response. CSIRO Atmospheric Research, Technical Paper 32.
25. Gedney N, Cox PM, Betts RA, Boucher O, Huntingford C, Stott PA (2006) Detection of a direct carbon dioxide effect in continental river runoff records. Nature 439: 835-838.
26. Guo Z, Dirmeyer P, Koster RD, Bonan G, Chan E, Cox P, Gordon CT, Kanae S, Kowalczyk EA, Lawrence D, Liu P, Lu CH, Malyshev S, McAvaney B, McGregor JL, Mitchell K, Mocko D, Oki T, Oleson KW, Pitman A, Sud YC, Taylor CM, Verseghy D, Vasic R, Xue Y, Yamada T (2006) GLACE: the global land-atmosphere coupling experiment. Part II: analysis. J Hydrometeorol 7(4): 611-625.
27. Hall FG, Collatz G, Los S, Brown de Colstoun E, Landis D (eds) (2005) ISLSCP Initiative II. NASA. DVD/CD-ROM. NASA. Available from http://islscp2. sesda. com/ISLSCP2_1/html_pages/islscp2_home. html.
28. 2 increases. J Clim 8: 1738-1756.
29. Holtslag AAM, Boville BA (1993) Local versus non-local boundary layer diffusion in a global climate model. J Clim 6: 1825-1842.
30. Hope PK, Nicholls N, McGregor JL (2004) The rainfall response to permanent inland water in Australia. Aust Meteorol Mag 53: 251-262.
31. 2-induced suppression of transpiration cannot explain increasing runoff. Hydrol Process 22: 311-314.
32. Idso S, Brazel A (1984) Rising atmospheric carbon dioxide concentrations may increase streamflow. Nature 312: 51-53.
33. Jarvis PG (1976) The interpretation of the variation in leaf water potential and stomatal conductance found in canopies in the field. Philos Trans Roy Soc London Ser B 73: 593-610.
34. 2 on global-scale leaf area index and evapotranspiration: Conflicting stomatal conductance and LAI responses. J Geophys Res 107: D244808. doi: 10. 1029/2001JD001245.
35. Koster RD, Guo Z, Dirmeyer PA, Bonan G, Chan E, Cox P, Davies H, Gordon CT, Kanae S, Kowalczyk E, Lawrence D, Liu P, Lu C-H, Malyshev S, McAvaney B, Mitchell K, Mocko D, Oki T, Oleson KW, Pitman A, Sud YC, Taylor CM, Verseghy D, Vasic R, Xue Y, Yamada T (2006) GLACE: the global land-atmosphere coupling. experiment part: I overview. J Hydrometeorol 7(4): 590-610.
36. Kowalczyk EA, Wang YP (2004) Greening of the CSIRO land surface scheme: Present and future. In: Hollis AJ (ed) "The past, present and future of numerical modelling": extended abstracts of presentations at the sixteenth annual BMRC Modelling Workshop, Melbourne (BMRC Research Report, no. 104). Bureau of Meteorology Research Centre, Melbourne, pp 73-76.
37. Kowalczyk EA, Wang YP, Law RM, Davies HL, McGregor JL, Abramowitz G (2006) The CSIRO Atmosphere Biosphere Land Exchange (CABLE) model for use in climate models and as an offline model. CSIRO Marine and Atmospheric Research, Paper 013. Available from http://www. cmar. csiro. au.
38. Lal M, McGregor JL, Nguyen KC (2008) Very high-resolution climate simulation over Fiji using a global variable-resolution model. Clim Dyn 30: 293-305.
39. 2 concentration using the CSIRO cubic-conformal model nudged with NCEP winds [poster]. In: AGU 2002 Fall Meeting [abstracts], San Francisco (Supplement to EOS: Transactions of the American Geophysical Union, 83(47)), American Geophysical Union, Washington, DC, p A12A-0142.
40. 2 data to assess a simplified carbon-climate simulation for the 20th century. Tellus 58B: 427-437. doi: 10. 1111/j. 1600-0889. 2006. 00198. x.
41. 3 plants. Plant Cell Environ 18: 339-357.
42. 2 climate. J Clim 13: 1313-1325.
43. Livezey RE, Chen WY (1983) Statistical field significance and its determination by Monte Carlo techniques. Mon Wea Rev 111: 46-59.
44. Louis J-F (1979) A parametric model of vertical eddy fluxes in the atmosphere. Bound-Lay Meteorol 17: 187-202.
45. Manabe S (1969) Climate and the ocean circulation: 1 The atmospheric circulation and the hydrology of the Earth's surface. Mon Wea Rev 97: 739-805.
46. McGregor JL (1993) Economical determination of departure points for semi-Lagrangian models. Mon Wea Rev 121: 221-230.
47. McGregor JL (1996) Semi-Lagrangian advection on conformal-cubic grids. Mon Wea Rev 124: 1311-1322.
48. McGregor JL (2003) A new convection scheme using a simple closure. In Current Issues in the Parameterization of Convection, BMRC Res. Rep. 93. Bureau of Meteorology Research Centre, Melbourne, pp 33-36.
49. McGregor JL (2005) C-CAM geometric aspects and dynamical formulation. CSIRO Atmospheric Research, Technical Paper 70.
50. McGregor JL, Dix MR (2001) The CSIRO conformal-cubic atmospheric GCM. In: Hodnett PF (ed) IUTAM symposium on advances in mathematical modelling of atmosphere and ocean dynamics, Kluwer, pp 197-202.
51. McGregor JL, Dix MR (2008) An updated description of the Conformal-Cubic Atmospheric Model. In: Hamilton K, Ohfuchi W (eds) High resolution simulation of the atmosphere and ocean, Springer, pp 51-76.
52. McGregor JL, Nguyen KC, Katzfey JJ (2002) Regional climate simulations using a stretched-grid global model. In: Ritchie H (eds) Research activities in atmospheric and oceanic modelling (CAS/JSC Working Group on Numerical Experimentation Report; 32; WMO/TD, no. 1105) WMO, Geneva, pp 3. 15-3. 16.
53. Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao Z-C (2007) Global climate projections. In: Solomon S et al (eds) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 747-845.
54. Nunez M, McGregor JL (2007) Modelling future water environments of Tasmania, Australia. Clim Res 34(1): 25-37.
55. 2 on global river runoff trends. Proc Natl Acad Sci USA 104: 15242-15247.
56. Pitman AJ (2003) The evolution of, and revolution in, land surface schemes designed for climate models. Int J Climatol 23: 479-510.
57. Pollard D, Thompson S (1995) Use of a land-surface-transfer scheme (LSX) in a global climate model: the response to doubling stomatal resistance. Glob Planet Change 10: 129-161.
58. Rančić M, Purser RJ, Mesinger F (1996) A global shallow-water model using an expanded spherical cube: Gnomonic versus conformal coordinates. Q J Roy Meteor Soc 122: 959-982.
59. Randall DA, Wood RA, Bony S, Coleman R, Fichefet T, Fyfe J, Kattsov V, Pitman A, Shukla J, Srinivasan J, Stouffer RJ, Sumi A, Taylor KE (2007) Climate models and their evaluation. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 589-662.
60. Raupach MR, Finkele K, Zhang L (1997) A soil-canopy atmosphere model (SCAM): description and comparisons with field data. CSIRO Centre for Environmental Mechanics, Technical Report No. 132.
61. Schmidt F (1977) Variable fine mesh in spectral global model. Beitr Phys Atmos 50: 211-217.
62. Schwarzkopf MD, Fels SB (1991) The simplified exchange method revisited: An accurate, rapid method for computation of infrared cooling rates and fluxes. J Geophys Res 96: 9075-9096.
63. 2 on climate. Science 271: 1402-1406.
64. Sellers PJ, Dickinson RE, Randall DA, Betts AK, Hall FG, Berry JA, Collatz GJ, Denning AS, Mooney HA, Nobre CA, Sato N, Field CB, Henderson-Sellers A (1997) Modeling the exchanges of energy, water and carbon between continents and the atmosphere. Science 275: 502-509.
65. Taylor KE, Williamson D, Zwiers F (2000) The sea surface temperature and sea-ice concentration boundary conditions for AMIP II simulations. PCMDI Report No. 60, Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, 25 pp.
66. von Storch H, Zwiers FW (1999) Statistical analysis in climate research. Cambridge University Press, Cambridge, 484 pp.
67. Wang Y-P, Leuning R (1998) A two-leaf model for canopy conductance, photosynthesis and portioning of available energy. Agric For Meteorol 91: 89-111.
68. Wang Y-P, Baldocchi D, Leuning R, Falge E, Vesala T (2007) Estimating parameters in a land surface model by applying nonlinear inversion to eddy covariance flux measurements from eight FLUXNET sites. Global Change Biol 13: 652-670. doi: 10. 1111/j. 1365-2486. 2006. 01225. x.
69. Wullschleger SD, Gunderson CA, Hanson PJ, Wilson KB, Norby RJ (2002) Sensitivity of stomatal and canopy conductance to elevated CO2 concentration-interacting variables and perspectives of scale. New Phytol 153: 485-496.
70. 2 enrichment. Agric For Meteorol 133: 226-246.
71. Zwiers FW, von Storch H (1995) Taking serial correlation into account in tests of the mean. J Clim 8: 336-351.