Present day bias and future change signal of temperature over China in a series of multi-GCM driven RCM simulations

• DOI: 10.1007/s00382-019-05047-x
• Publication Date: 2019-11-13T00:05:30Z
• Authors: Jia Wu; Xuejie Gao
• Keywords: 13. Climate action; 0207 environmental engineering; 02 engineering and technology

Abstract Simulation of surface air temperature over China from a set regional climate model (RCM) change experiments are analyzed with the focus on bias and signal RCM driving general circulation models (GCMs). The consists 4 simulations by RegCM4 driven different GCMs for period 1979–2099 under mid-range RCP4.5 (representative concentration pathway) scenario. Results show that present day conditions, provides more spatial details distribution in reduces biases GCM, particular DJF (December–January–February) areas complex topography. Bias patterns some correlation between GCM but not JJA (June–July–August). In JJA, similar pattern low sensitivity to which can be attributed large effect internal physics season. For signals, dominant forcings evident as shown magnitude, scale distribution, well interannual variation changes. added value projection is characterized finer detail sub-regional (river basins) local scale. DJF, profound warming Tibetan Plateau simulated GCMs. no clear relationships found signal, either or nested RCM.