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Evaluating biases in simulated land surface albedo from CMIP5 global climate models
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; Piao, SL
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
2016
Volume121Issue:11Pages:6178-6190
DOI10.1002/2016JD024774
AbstractLand 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.
Subject Area普通生物学
WOS IDWOS:000381631700004
Language英语
Indexed BySCI
KeywordSnow Cover Feedback Forests Evapotranspiration Sublimation Variability Spread Modis 1st
Cooperation Status国内
Department生态
SubtypeArticle
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Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/7674
Collection图书馆
Corresponding AuthorPiao, SL
Affiliation1.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
GB/T 7714
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.
APA Li, Y .,Wang, T .,Zeng, ZZ .,Peng, SS .,Lian, X .,...&Piao, SL.(2016).Evaluating biases in simulated land surface albedo from CMIP5 global climate models.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,121(11),6178-6190.
MLA Li, Y ,et al."Evaluating biases in simulated land surface albedo from CMIP5 global climate models".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 121.11(2016):6178-6190.
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