Four degrees and beyond: the potential for a global ... - Amper
Four degrees and beyond: the potential for a global ... - Amper
Four degrees and beyond: the potential for a global ... - Amper
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
84 R. A. Betts et al.<br />
14 Jones, C. D. & Cox, P. M. 2005 On <strong>the</strong> significance of atmospheric CO2 growth rate anomalies<br />
in 2002–2003. Geophys. Res. Lett. 32, LI14816. (doi:10.1029/2005GL023027)<br />
15 Canadell, J. G. et al. 2007 Contributions to accelerating atmospheric CO2 growth from economic<br />
activity, carbon intensity, <strong>and</strong> efficiency of natural sinks. Proc. Natl Acad. Sci. USA 104, 18 866–<br />
18 870. (doi:10.1073/pnas.0702737104)<br />
16 Knorr, W. 2009 Is <strong>the</strong> airborne fraction of anthropogenic CO2 emissions increasing? Geophys.<br />
Res. Lett. 36, L21710. (doi:10.1029/2009GL040613)<br />
17 Jones, C. D., Cox, P. M. & Hunting<strong>for</strong>d, C. 2007 The atmospheric CO2 airborne fraction <strong>and</strong><br />
carbon cycle feedbacks. In Conf. Proc. from <strong>the</strong> 50th Anniversary of <strong>the</strong> Global Carbon Dioxide<br />
Record Symp., Kona, Hawaii, Novermber 2007.<br />
18 Gregory, J. M., Jones, C. D., Cadule, P. & Friedlingstein, P. 2009 Quantifying carbon cycle<br />
feedbacks. J. Clim. 22, 5232–5250. (doi:10.1175/2009JCLI2949.1)<br />
19 Thornton, P. E. et al. 2009 Carbon–nitrogen interactions regulate climate–carbon cycle<br />
feedbacks: results from an atmosphere–ocean general circulation model. Biogeosciences 6,<br />
2099–2120. (doi:10.5194/bg-6-2099-2009)<br />
20 Zaehle, S., Friedlingstein, P. & Friend, A. D. 2010 Terrestrial nitrogen feedbacks may accelerate<br />
future climate change. Geophys. Res. Lett. 37, L01401. (doi:10.1029/2009GL041345)<br />
21 Frank, D. C., Esper, J., Raible, C. C., Buntgen, U., Trouet, V., Stocker, B. & Joos, F. 2010<br />
Ensemble reconstruction constraints on <strong>the</strong> <strong>global</strong> carbon cycle sensitivity to climate. Nature<br />
463, 527–530. (doi:10.1038/nature08769)<br />
22 Joos, F., Prentice, I. C., Sitch, S., Meyer, R., Hooss, G., Plattner, G.-K., Gerber, S. &<br />
Hasselmann, K. 2001 Global warming feedbacks on terrestrial carbon uptake under <strong>the</strong><br />
Intergovernmental Panel on Climate Change (IPCC) emission scenarios. Glob. Biogeochem.<br />
Cycles 15, 891–907. (doi:10.1029/2000GB001375)<br />
23 Wigley, T. M. L. & Raper, S. C. B. 2001 Interpretation of high projections <strong>for</strong> <strong>global</strong>-mean<br />
warming. Science 293, 451–454. (doi:10.1126/science.1061604)<br />
24 Gordon, C., Cooper, C., Senior, C. A., Banks, H., Gregory, J. M., Johns, T. C., Mitchell,<br />
J. F. B. & Wood, R. A. 2000 The simulation of SST, sea ice extents <strong>and</strong> ocean heat transports<br />
in a version of <strong>the</strong> Hadley Centre coupled model without flux adjustments. Clim. Dyn. 16,<br />
147–168. (doi:10.1007/s003820050010)<br />
25 Collins, M., Booth, B. B. B., Bhaskaran, B., Harris, G., Murphy, J. M., Sexton, D. M. H. &<br />
Webb, M. J. In press. A comparison of perturbed physics <strong>and</strong> multi-model ensembles: model<br />
errors, feedbacks <strong>and</strong> <strong>for</strong>cings. Clim. Dyn.<br />
26 Murphy, J. M., Sexton, D. M. H., Barnett, D. N., Jones, G. S., Webb, M. J., Collins, M. &<br />
Stain<strong>for</strong>th, D. A. 2004 Quantification of modelling uncertainties in a large ensemble of climate<br />
change simulations. Nature 430, 768–772. (doi:10.1038/nature02771)<br />
27 Collins, M., Booth, B. B. B., Harris, G. R., Murphy, J. M., Sexton, D. M. H. & Webb, M. J.<br />
2006 Towards quantifying uncertainty in transient climate change. Clim. Dyn. 27, 127–147.<br />
(doi:10.1007/s00382-006-0121-0)<br />
28 Webb, M. J. et al. 2006 On <strong>the</strong> contribution of local feedback mechanisms to <strong>the</strong> range of climate<br />
sensitivity in two GCM ensembles. Clim. Dyn. 27, 17–38. (doi:10.1007/s00382-006-0111-2)<br />
29 Murphy, J. M., Booth, B. B. B., Collins, M., Harris, G. R., Sexton, D. M. H. & Webb, M. J.<br />
2007 A methodology <strong>for</strong> probabilistic predictions of regional climate change from perturbed<br />
physics ensembles. Phil. Trans. R. Soc. A 365, 1993–2028. (doi:10.1098/rsta.2007.2077)<br />
30 Murphy, J. M. et al. 2009 UK Climate Projections Science Report: climate change projections.<br />
Met Office Hadley Centre, Exeter, UK.<br />
31 Lowe, J. A., Hunting<strong>for</strong>d, C., Raper, S. C. B., Jones, C. D., Liddicoat, S. K. & Gohar, L. K.<br />
2009 How difficult is it to recover from dangerous levels of <strong>global</strong> warming? Environ. Res. Lett.<br />
4, 014012. (doi:10.1088/1748-9326/4/1/014012)<br />
Phil. Trans. R. Soc. A (2011)<br />
Downloaded from<br />
rsta.royalsocietypublishing.org on November 30, 2010