Climate Dynamics

, Volume 25, Issue 5, pp 447–459 | Cite as

Impact of vegetation changes on the dynamics of the atmosphere at the Last Glacial Maximum

Article

Abstract

Much work is under way to identify and quantify the feedbacks between vegetation and climate. Palaeoclimate modelling may provide a mean to address this problem by comparing simulations with proxy data. We have performed a series of four simulations of the Last Glacial Maximum (LGM, 21,000 years ago) using the climate model HadSM3, to test the sensitivity of climate to various changes in vegetation: a global change (according to a previously discussed simulation of the LGM with HadSM3 coupled to the dynamical vegetation model TRIFFID); a change only north of 35°N; a change only south of 35°N; and a variation in stomatal opening induced by the reduction in atmospheric CO2 concentration. We focus mainly on the response of temperature, precipitation, and atmosphere dynamics. The response of continental temperature and precipitation mainly results from regional interactions with vegetation. In Eurasia, particularly Siberia and Tibet, the response of the biosphere substantially enhances the glacial cooling through a positive feedback loop between vegetation, temperature, and snow-cover. In central Africa, the decrease in tree fraction reduces the amount of precipitation. Stomatal opening is not seen to play a quantifiable role. The atmosphere dynamics, and more specifically the Asian summer monsoon system, are significantly altered by remote changes in vegetation: the cooling in Siberia and Tibet act in concert to shift the summer subtropical front southwards, weaken the easterly tropical jet and the momentum transport associated with it. By virtue of momentum conservation, these changes in the mid-troposphere circulation are associated with a slowing of the Asian summer monsoon surface flow. The pattern of moisture convergence is slightly altered, with moist convection weakening in the western tropical Pacific and strengthening north of Australia.

Notes

Acknowledgements

This work is supported by the UK Government Meteorological Research Program and EU contract nr EVK2-CT-2002-00153 on Models and Observations to Test clImate Feedbacks (MOTIF).

References

  1. Bamzai AS, Marx L (2000) COLA AGCM simulation of the effect of anomalous spring snow over Eurasia on the Indian summer monsoon. Q J R Meteorol Soc 126:2575–2584CrossRefGoogle Scholar
  2. Barnett TP, Dumenil L, Schlese U, Roeckner E (1989) The effect of Eurasian snow cover on regional and global climate variations. J Atmos Sci 46:661–685CrossRefGoogle Scholar
  3. Becker BD, Slingo JM, Ferranti L, Molteni F (2001) Seasonal predictability of the Indian Summer Monsoon: what role do land surface conditions play? Mausam 52:175–190Google Scholar
  4. Berger A (1978) Long-term variations of daily insolation and quaternary climatic changes. J Atmos Sci 35:2362–2367CrossRefGoogle Scholar
  5. Berger A (2001) The role of CO2, sea-level and vegetation during the Milankovitch-forced glacial-interglacial cycles. In: Proceedings “Geosphere-Biosphere Interactions and Climate”. Cambridge University Press, New York, pp 119–146Google Scholar
  6. Blanford HF (1884) On the connexion of the Himalayan snowfall with dry winds and seasons of droughts in India. Proc R Soc Lond 37:3–22CrossRefGoogle Scholar
  7. Bonan GB, Pollard D, Thompson SL (1992) Effects of boreal forest vegetation on global climate. Nature 359:716–718CrossRefGoogle Scholar
  8. Brovkin V (2002) Climate–vegetation interactions. J Phys IV PR 10:57–72CrossRefGoogle Scholar
  9. Bush ABG (2002) A comparison of simulated monsoon circulations and snow accumulation in Asia during the mid-Holocene and at the Last Glacial Maximum. Global Planet Change 32:331–347CrossRefGoogle Scholar
  10. Cox PM, Huntingford C, Harding RJ (1998) A canopy conductance and photosynthesis model for use in a GCM land surface scheme. J Hydrol 212–213:79–94CrossRefGoogle Scholar
  11. Cox PM, Betts RA, Bunton CB, Essery RLH, Rowntree PR, Smith J (1999) The impact of new land surface physics on the GCM simulation of climate and climate sensitivity. Clim Dyn 15:183–203CrossRefGoogle Scholar
  12. Cox PM, Betts RA, Jones CD, Spall SA, Totterdell IJ (2001) Modelling vegetation and the carbon cycle as interactive elements of the climate system. In: Pearce R (ed) Meteorology at the millennium. Academic, New York, pp 259–279Google Scholar
  13. Crowley T, Baum S (1997) Effect of vegetation on an ice-age climate model simulation. J Geophys Res 102(D14):16463–16480CrossRefGoogle Scholar
  14. Crucifix M, Loutre MF (2002) Transient simulations over the last interglacial period (126–115 kyr bp): feedback and forcing analysis. Clim Dyn 19:419–433Google Scholar
  15. Crucifix M, Betts RA, Cox PM (2005b) Vegetation and climate variability: a GCM modelling study. Clim Dyn 24:457–467 DOI 10.1007/s00382-004-0504-zGoogle Scholar
  16. Crucifix M, Betts RA, Hewitt CD (2005a) Pre-industrial-potential and last glacial maximum global vegetation simulated with a coupled climate-biosphere model: diagnosis of bioclimatic relationships. Global and Planet Change 45:295–312 DOI 10.1016/j.gloplacha.2004.10.001Google Scholar
  17. Dickson RR (1984) Eurasian snow cover versus Indian monsoon rainfall—an extension of the Hahn-Shulka results. Q J R Meteorol Soc 23:171–173Google Scholar
  18. Eltahir EAB (1996) Role of vegetation in sustaining large-scale atmospheric circulation in the tropics. J Geophys Res 101(D2):4255–4268CrossRefGoogle Scholar
  19. Essery RLH, Best MJ, Betts RA, Cox PM, Taylor CM (2003) Explicit representation of subgrid heterogeneity in a GCM land-surface scheme. J Hydrometeorol 4(3):530–543CrossRefGoogle Scholar
  20. Ganopolski A, Rahmstorf S, Petoukhov V, Claussen M (1998) Simulation of modern and glacial climates with a coupled global model of intermediate complexity. Nature 391:351–356CrossRefGoogle Scholar
  21. Hahn D, Shukla J (1976) An apparent relationship between Eurasian snow cover and Indian monsoon rainfall. J Clim 33:2461–2462 DOI 10.1175/1520–0469Google Scholar
  22. Harrison SP, Braconnot P, Joussaume S, Hewitt CD, Stouffer RJ (2002) Comparison of palaeoclimate simulations enhances confidence in models. EOS Trans Am Geophys Union 83:447Google Scholar
  23. Harvey LDD (1988) On the role of high latitude ice, snow and vegetations feedbacks in the climatic response to external forcing changes. Clim Change 13:191–224CrossRefGoogle Scholar
  24. Hewitt CD, Senior CA, Mitchell JFB (2001) The impact of dynamic sea-ice on the climatology and climate sensitivity of a GCM: a study of past, present, and future climates. Clim Dyn 17:655–668CrossRefGoogle Scholar
  25. Hewitt CD, Stouffer RJ, Broccoli AJ, Mitchell JFB, Valdes PJ (2003) The effect of ocean dynamics in a coupled GCM simulation of the last glacial maximum. Clim Dyn 20:203–218 DOI 10.1007/s00382–002–0272–6Google Scholar
  26. Inness PM, Slingo JM, Woolnough SJ, Neale RB, Pope VD (2001) Organization of tropical convection in a GCM with varying vertical resolution; implications of the Madden-Julian Oscillation. Clim Dyn 17:777–793CrossRefGoogle Scholar
  27. Kubatzki C, Claussen M (1998) Simulation of the global bio-geophysical interactions during the Last Glacial maximum. Clim Dyn 14:461–471CrossRefGoogle Scholar
  28. Levis S, Foley JA, Pollard D (1999) CO2, climate, and vegetation feedbacks at the Last Glacial Maximum. J Geophys Res 104(D24):31191–31198CrossRefGoogle Scholar
  29. Otterman J, Chou MD, Arking A (1984) Effects of nontropical forest cover on climate. J Appl Meteorol 23:762–767CrossRefGoogle Scholar
  30. Peltier WR (1994) Ice age paleotopography. Science 265:195–201CrossRefGoogle Scholar
  31. Pope VD, Stratton RA (2002) The processes governing horizontal resolution sensitivity in a climate model. Clim Dyn 19:211–236CrossRefGoogle Scholar
  32. Pope VD, Gallani ML, Rowntree PR, Stratton RA (2000) The impact of new physical parametrizations in the Hadley Centre climate model—HadAM3. Clim Dyn 16:123–146CrossRefGoogle Scholar
  33. Rayner NA, Horton EB, Parker DE, Folland CK, Hackett RB (1996) Version 2.2 of the global sea-ice and sea surface temperature data set, 1903–1994. CRTN74, Hadley Centre for Climate Prediction and Research Met Office, Bracknell, RG12 2SYGoogle Scholar
  34. Rodwell MJ, Hoskins BJ (2001) Subtropical anticyclones and summer monsoons. J Clim 14:3192–3211CrossRefGoogle Scholar
  35. Turcq B, Cordeiro RC, Sifeddine A, Simoes FFL, Albuquerque ALS, Abrao JJ (2002) Carbon storage in Amazonia during the Last Glacial Maximum: secondary data and uncertainties. Chemosphere 49(8):821–835CrossRefPubMedGoogle Scholar
  36. Vernekar AD, Zhou J, Shukla J (1995) The effect of Eurasian snow cover on the Indian monsoon. J Clim 8:248–266CrossRefGoogle Scholar
  37. Viterbo P, Betts AK (1999) Impact on ECMWF forecasts of changes to the albedo of the boreal forests in the presence of snow. J Geophys Res 104:27803–27810CrossRefGoogle Scholar
  38. Voldoire A, Royer JF (2004) Tropical deforestation and climate variability. Clim Dyn 22:857–874 DOI 10.1007/s00382–004–0423–zGoogle Scholar
  39. Wilson MF, Henderson-Sellers A (1985) A global archive of land cover and soils data for use in general circulation climate models. J Climatol 5:119–143CrossRefGoogle Scholar
  40. Wyputta U, McAvaney BJ (2001) Influence of vegetation changes during the Last Glacial Maximum using the BMRC atmospheric general circulation model. Clim Dyn 17:923–932CrossRefGoogle Scholar
  41. Xue Y, Shukla J (1996) The influence of land surface properties on Sahel climate. Part II: afforestation. J Clim 9:3260–3275CrossRefGoogle Scholar
  42. Yasunari T, Kitoh A, Tokioka T (1991) Local and remote responses to excessive snow mass over Eurasia appearing in the northern spring and summer climate—a study of the MRI GCM. J Meteorol Soc Jpn 69:473–487Google Scholar
  43. Zhang H, Henderson-Sellers A (1996) Impacts of tropical deforestation. Part I: process analysis of local climatic change. J Clim 9:1497–1517CrossRefGoogle Scholar
  44. Zhang YS, Li T, Wang B (2004) Decadal change of the spring snow depth over the Tibetan Plateau: the associated circulation and influence on the East Asian summer monsoon. J Clim 17(14):2780–2793CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  1. 1.Met OfficeHadley Centre for Climate Prediction and ResearchDevonUK

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