Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation

The daily average land surface air temperature (SAT) simulated by 8 CMIP5 models historical experiments and that from NCEP data during 1960–2005, are used to evaluate the performance of model based on detrended fluctuation analysis (DFA) method. DFA results show SAT in most regions world exhibit long-range correlation. scaling exponents zonal distribution characteristics larg tropics while small medium high latitudes. CMCC-CMS, GFDL-ESM2G, IPSL-CM5A-MR similar data. From errors model-simulated SAT, is best among throughout year, FGOALS-g2 good spring summer, GFDL-ESM2G autumn, CNRM-CM5 CMCC-CMS winter. closer areas mid-high latitude northern hemisphere. However, simulations East Asia Central North American generally less effective. In spring, have better Siberian (SIB), (CAS) Tibetan (TIB). Northern Europe area well summer. with Mediterranean, SIB TIB regions. winter, Greenland, models. Generally speaking, for global continents varies different seasons