Evaluating biases in simulated land surface albedo from CMIP5 global   climate models

doi:10.1002/2016JD024774

CORC > 北京大学 > 城市与环境学院

	Evaluating biases in simulated land surface albedo from CMIP5 global climate models
	Li, Yue ; Wang, Tao ; Zeng, Zhenzhong ; Peng, Shushi ; Lian, Xu ; Piao, Shilong
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
	2016
关键词	SNOW COVER FEEDBACK FORESTS EVAPOTRANSPIRATION SUBLIMATION VARIABILITY SPREAD MODIS 1ST
DOI	10.1002/2016JD024774
英文摘要	Land surface albedo is a key parameter affecting energy balance and near-surface climate. In this study, we used satellite data to evaluate simulated surface albedo in 37 models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5). There was a systematic overestimation in the simulated seasonal cycle of albedo with the highest bias occurring during the Northern Hemisphere's winter months. The bias in surface albedo during the snow-covered season was classified into that in snow cover fraction (SCF) and albedo contrast (beta(1)). There was a general overestimation of beta(1) due to the simulated snow-covered albedo being brighter than the observed value; negative biases in SCF were not always related to negative albedo biases, highlighting the need for realistic representation of snow-covered albedo in models. In addition, models with a lower leaf area index (LAI) tend to produce a higher surface albedo over the boreal forests during the winter, which emphasizes the necessity of improving LAI simulations in CMIP5 models. Insolation weighting showed that spring albedo biases were of greater importance for climate. The removal of albedo biases is expected to improve temperature simulations particularly over high-elevation regions.; National Natural Science Foundation of China [41125004, 31321061]; National Youth Top-notch Talent Support Program in China; SCI(E); ARTICLE; twang@itpcas.ac.cn; slpiao@pku.edu.cn; 11; 6178-6190; 121
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/492161]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Li, Yue,Wang, Tao,Zeng, Zhenzhong,et al. Evaluating biases in simulated land surface albedo from CMIP5 global climate models[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2016.
APA	Li, Yue,Wang, Tao,Zeng, Zhenzhong,Peng, Shushi,Lian, Xu,&Piao, Shilong.(2016).Evaluating biases in simulated land surface albedo from CMIP5 global climate models.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES.
MLA	Li, Yue,et al."Evaluating biases in simulated land surface albedo from CMIP5 global climate models".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2016).