Evaluating biases in simulated land surface albedo from CMIP5 global climate models
文献类型：期刊论文
| 作者 | Piao, SL; Li, Y (Li, Yue)4; Wang, T (Wang, Tao)1,2; Zeng, ZZ (Zeng, Zhenzhong)4; Peng, SS (Peng, Shushi)4; Lian, X (Lian, Xu)3,4; Piao, SL (Piao, Shilong)1,2,4 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2016 |
| 卷号 | 121期号:11页码:6178-6190 |
| 关键词 | Snow Cover Feedback Forests Evapotranspiration Sublimation Variability Spread Modis 1st |
| DOI | 10.1002/2016JD024774 |
| 文献子类 | 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. |
| 学科主题 | 普通生物学 |
| 语种 | 英语 |
| WOS记录号 | WOS:000381631700004 |
| 源URL | [http://ir.itpcas.ac.cn/handle/131C11/7674]  |
| 专题 | 青藏高原研究所_图书馆 |
| 通讯作者 | Piao, SL |
| 作者单位 | 1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China 2.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China 3.Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China 4.Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Piao, SL,Li, Y ,Wang, T ,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 | Piao, SL.,Li, Y .,Wang, T .,Zeng, ZZ .,Peng, SS .,...&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 | Piao, SL,et al."Evaluating biases in simulated land surface albedo from CMIP5 global climate models".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 121.11(2016):6178-6190. |
入库方式： OAI收割
来源：青藏高原研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。