Uncertainty of concentration-terrestrial carbon feedback in earth system models

Journal of Climate

Volumn 27, Issue 9, 2014, Pages 3425-3445

  Hajima, Tomohiro ^a   Tachiiri, Kaoru ^a   Ito, Akihiko ^a,b   Kawamiya, Michio ^a  

^a JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY   (Japan)

^b NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC COMPOSITION; CARBON; CARBON DIOXIDE; FORESTRY; LAKES;

ANALYTICAL APPROACH; BIOGEOCHEMICAL RESPONSE; CARBON ACCUMULATION; CARBON CYCLE PROCESS; COUPLED MODEL INTERCOMPARISON PROJECT; CURRENT QUANTITIES; EARTH SYSTEM MODEL; TERRESTRIAL ECOSYSTEMS;

FEEDBACK;

CARBON CYCLE; CARBON DIOXIDE; CARBON FLUX; CLIMATE PREDICTION; CONCENTRATION (COMPOSITION); GLOBAL CLIMATE; TERRESTRIAL ECOSYSTEM; UNCERTAINTY ANALYSIS;

EID: 84899090364     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-13-00177.1     Document Type: Article

References (28)

1. 2. New Phytol., 165, 351-372, doi:10.1111/j.1469-8137.2004.01224.x.
2. Anav, A., and et al., 2013: Evaluating the land and ocean components of the global carbon cycle in the CMIP5 Earth systemmodels. J. Climate, 26, 6801-6843, doi:10.1175/ JCLI-D-12-00417.1.
3. Arora, V., and et al., 2013: Carbon-concentration and carbon- climate feedbacks in CMIP5 Earth system models. J. Climate, 26, 5289-5314, doi:10.1175/JCLI-D-12-00494.1.
4. Boer, G. J., and V. Arora, 2009: Temperature and concentration feedbacks in the carbon cycle. Geophys. Res. Lett., 36, L02704, doi:10.1029/2008GL036220.
5. Bonan, G. B., and S. Levis, 2010: Quantifying carbon-nitrogen feedbacks in the Community Land Model (CLM4). Geophys. Res. Lett., 37, L07401, doi:10.1029/2010GL042430.
6. 2 fertilization to the missing biospheric sink. Global Biogeochem. Cycles, 9, 541-556, doi:10.1029/95GB02381.
7. Friedlingstein, P., J. Dufresne, P. Cox, and P. Rayner, 2003: How positive is the feedback between climate change and the carbon cycle? Tellus, 55B, 692-700, doi:10.1034/j.1600-0889.2003.01461.x.
8. 4MIP model intercomparison. J. Climate, 19, 3337-3353, doi:10.1175/JCLI3800.1.
9. Garnier, E., 1992: Growth analysis of congeneric annual and perennial grass species. J. Ecol., 80, 665-675, doi:10.2307/ 2260858.
10. Gotangco Castillo, C. K., S. Levis, and P. Thornton, 2012: Evaluation of the new CNDV option of the Community Land Model: Effects of dynamic vegetation and interactive nitrogen on CLM4 means and variability. J. Climate, 25, 3702-3714, doi:10.1175/JCLI-D-11-00372.1.
11. Gregory, J. M., C. D. Jones, P. Cadule, and P. Friedlingstein, 2009: Quantifying carbon cycle feedbacks. J. Climate, 22, 5232-5250, doi:10.1175/2009JCLI2949.1.
12. Hajima, T., T. Ise, K. Tachiiri, E. Kato, S. Watanabe, and M. Kawamiya, 2012: Climate change, allowable emission, and Earth system response to representative concentration pathway scenarios. J. Meteor. Soc. Japan, 90, 417-433, doi:10.2151/ jmsj.2012-305.
13. Ito, A., 2011: A historical meta-analysis of global terrestrial net primary productivity: Are estimates converging? Global Change Biol., 17, 3161-3175, doi:10.1111/j.1365-2486.2011.02450.x.
14. 2 emissions and airborne fraction simulated by CMIP5 Earth system models under four representative concentration pathways. J. Climate, 26, 4398-4413, doi:10.1175/ JCLI-D-12-00554.1.
15. Lewis, S. L., andet al., 2009: Increasing carbon storage in intact African tropical forests. Nature, 457, 1003-1006, doi:10.1038/ nature07771.
16. Meinshausen, M., N. Meinshausen, W. Hare, S. C. B. Raper, K. Frieler, R. Knutti, D. J. Frame, and M. R. Allen, 2009: Greenhouse-gas emission targets for limiting global warming to 28C. Nature, 458, 1158-1162, doi:10.1038/nature08017.
17. Moss, R. H., and et al., 2010: The next generation of scenarios for climate change research and assessment. Nature, 463, 747- 756, doi:10.1038/nature08823.
18. Nakicenovic, N., and et al., 2000: IPCC Special Report on Emissions Scenarios. Cambridge University Press, 599 pp.
19. 2 enrichment (FACE) experiments. Annu. Rev. Ecol. Evol. Syst., 42, 181-203, doi:10.1146/annurev-ecolsys-102209-144647.
20. 2 emissions, and its use to quantify vulnerabilities in the carbon- climate-human system. Tellus, 63B, 145-164, doi:10.1111/ j.1600-0889.2010.00521.x.
21. Tachiiri, K., A. Ito, T. Hajima, J. C. Hargreaves, J. D. Annan, and M. Kawamiya, 2012: Nonlinearity of land carbon sensitivities in climate change simulations. J. Meteor. Soc. Japan, 90A, 259- 274, doi:10.2151/jmsj.2012-A13.
22. 2. Aust. J. Bot., 40, 407-418, doi:10.1071/ BT9920407.
23. 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.
24. Todd-Brown, K. E.O., J. T. Randerson, W.M. Post, F.M.Hoffman, C. Tarnocai, E.A.G. Schuur, and S.D.Allison, 2013: Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations. Biogeosciences, 10, 1717-1736, doi:10.5194/bg-10-1717-2013.
25. Thompson, M. V., J. T. Randerson, C. M. Malmstrom, and C. B. Field, 1996: Change in net primary production and heterotrophic respiration: How much is necessary to sustain the terrestrial carbon sink? Global Biogeochem. Cycles, 10, 711-726, doi:10.1029/96GB01667.
26. Thornton, P. E., and et al., 2009: Carbon-nitrogen interactions regulate climate-carbon cycle feedbacks: Results from an atmosphere-ocean general circulation model. Biogeosciences, 6, 2099-2120, doi:10.5194/bg-6-2099-2009.
27. Tjiputra, J. F., C. Roelandt, M. Bentsen, D. M. Lawrence, T. Lorentzen, J. Schwinger, Ø. Seland, and C. Heinze, 2013: Evaluation of the carbon cycle components in the Norwegian Earth System Model (NorESM). Geosci. Model Dev., 6, 301- 325, doi:10.5194/gmd-6-301-2013.
28. Watanabe, S., and et al., 2011: MIROC-ESM 2010: Model description and basic results of CMIP5-20c3m experiments. Geosci. Model Dev., 4, 845-872, doi:10.5194/ gmd-4-845-2011.