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学科主题: 生物科学::普通生物学
题名: Evaluating biases in simulated land surface albedo from CMIP5 global climate models
作者: Li, Y (Li, Yue)1; Wang, T (Wang, Tao)2, 3; Zeng, ZZ (Zeng, Zhenzhong)1; Peng, SS (Peng, Shushi)1; Lian, X (Lian, Xu)1, 4; Piao, SL (Piao, Shilong)1, 2, 3
通讯作者: Piao, SL
刊名: JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
发表日期: 2016
DOI: 10.1002/2016JD024774
卷: 121, 期:11, 页:6178-6190
收录类别: SCI
合作性质: 国内
文章类型: Article
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.
语种: 英语
WOS记录号: WOS:000381631700004
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.itpcas.ac.cn/handle/131C11/7674
Appears in Collections:图书馆_期刊论文

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作者单位: 1.Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China
3.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China
4.Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China

Recommended Citation:
Li, Y ,Wang, T ,Zeng, ZZ ,et al. Evaluating biases in simulated land surface albedo from CMIP5 global climate models[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2016,121(11):6178-6190.
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