Projected Changes in Köppen Climate Types in the 21st Century over China

References

• Amell, N. W., D. A. Hudson, and R. G. Jones, 2003: Climate change scenarios from a regional climate model: Estimating change in runoff in southern Africa, J. Geophys. Res., 108(D16), 4519, doi: 10.1029/2002JD002782.
   Google Scholar
• Baker, B., H. Diaz, W. Hargrove, et al., 2010: Use of the Köp-pen-Trewartha climate classification to evaluate climatic refugia in statistically derived ecoregions for the People's Republic of China, Climatic Change, 98, 113–131.
   Google Scholar
• de Castro, M., C. Gallardo, K. Jylha, et al., 2007: The use of a climate-type classification for assessing climate change effects in Europe from an ensemble of regional climate models, Climatic Change, 81\(Supp1.1), 329–341.
   Google Scholar
• Gao, X. J., and F. Giorgi, 2008: Increased aridity in the Mediterra-nean region under greenhouse gas forcing estimated from high resolution simulations with a regional climate model, Glob. Planet. Change, 62, 195–209.
   Google Scholar
• Gao, X. J., Y. Shi, R. Y. Song, et al., 2008: Reduction of future monsoon precipitation over China: Comparison between a high resolution RCM simulation and the driving GCM, Meteor Atmos. Phys., 100, 73–86.
   Google Scholar
• Gao, X. J., Y. Shi, D. F. Zhang, et al., 2012a: A high resolution climate change simulation of the 21st century over China by RegCM3, Chinese Sci. Bull. (in Chinese), 57(5), 374–381.
   Google Scholar
• Gao, X. J., Y. Shi, D. F. Zhang, et al., 2012b: Uncertainties in mon-soon precipitation projections over China: Results from two high-resolution RCM simulations, Climate Res., 52, 213–226.
   Google Scholar
• Gao, X. J., Y Xu, Z. C. Zhao, et al., 2006: On the role of resolution and topography in the simulation of East Asia precipitation, Theor. AppL ClimatoL, 86, 173–185.
   Google Scholar
• Gao, X. J., Z. C. Zhao, Y. H. Ding, et al., 2001: Climate change due to greenhouse effects in China as simulated by a regional climate model, Adv. Atmos. Sci., 18, 1224–1230.
   Google Scholar
• Hasumi, H., and S. Emori, 2004: K-1 Coupled Model (MIROC) Description, K-1 Technical Report 1, H. Hasumi et al. (Eds.), Center for Climate System Research, University of Tokyo, To-kyo, 34pp.
   Google Scholar
• Jacob, D., A. Elizalde, A. Haensler, et al., 2012: Assessing the transferability of the Regional Climate Model REMO to different COordinated Regional Climate Downscaling EXperiment (CORDEX) Regions, Atmosphere, 3, 181–199.
   Google Scholar
• Jiang, D. B., Y. Zhang, and X. M. Lang, 2011: Vegetation feedback under future global warming, Theor. AppL ClimatoL, 106, 211–227.
   Google Scholar
• Köppen, W., 1936: Das geographische system der klimate, in: Handbuch der Klimatologie, Vol 1, Part C, Köppen and Geiger (Eds.), Gebriider Bomtraeger, Berlin, 44pp.
   Google Scholar
• Nakicenovic, N., D. Ogunlade, D. Gerald, et al., 2000: Special Re-port on Emissions Scenarios, A Special Report of WGIII of the IPCC, N. Nakicenovic et al. (Eds.), Cambridge University Press, Cambridge and New York, 599pp.
   Google Scholar
• Pal, J. S., F. Giorgi, X. Q. Bi, et al., 2007: Regional climate model-ing for the developing world: The ICTP RegCM3 and RegCNET, Bull. Amer. Meteor. Soc., 88(9), 1395–1409.
   Google Scholar
• Rubel, F., and M. Kottek, 2010: Observed and projected climate shifts 1901–2100 depicted by world maps of the Köppen-Geiger climate classification, Meteor. Z., 19, 135–141.
   Google Scholar
• Shi, Y., X. J. Gao, J. Wu, et al., 2010: Simulating future climate changes over North China with a high resolution regional climate model, AppL Meteor. Sci. (in Chinese), 21(5), 580–589.
   Google Scholar
• Trewartha, G. T., and L. H. Horn, 1980: An Introduction to Climate, (5th ed.), McGraw Hill, New York, 416pp.
   Google Scholar
• Wu, J., and X. J. Gao, 2012: A gridded daily observation dataset over China region and comparison with the other datasets, Chi-nese J. Geophys. (in Chinese), in press.
   Google Scholar
• Wu, J., X. J. Gao, Y. Shi, et al., 2011: Climate change simulation over Xinjiang region in 21st century by a high resolution RCM, J. Glacio1 Geocryol (in Chinese), 33(3), 479–487.
   Google Scholar
• Xie, Z. H., F. Yuan, Q. Y. Duan, et al., 2007: Regional parameter estimation of the VIC land surface model: Methodology and ap-plication to river basins in China, J. HydrometeoroL, 8,447–468.
   Google Scholar
• Yu, L., K. R. Li, B. Tao, et al., 2010: Simulating and assessing the adaptability of geographic distribution of vegetation to climate change in China, Prog. Geogr, 29(11), 1326–1332.
   Google Scholar
• Zhang, F., and G S. Zhou, 2008: Spatial-temporal variations in net primary productivity along Northeast China transect (NECT) from 1982 to 1999, PI. EcoL, 32(4), 798–809.
   Google Scholar
• Zhang, X. S., 1993: The vegetation-climate classification system for global change study, QuaL Sci. (in Chinese), 2, 157–169.
   Google Scholar