Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau
文献类型：期刊论文
| 作者 | Bai, Peng1; Liu, Xiaomang1 ; Yang, Tiantian2; Liang, Kang1; Liu, Changming1
|
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2016-10-27 |
| 卷号 | 121期号:20页码:12180-12197 |
| 关键词 | GLDAS Tibetan Plateau streamflow simulation model evaluation land surface model |
| ISSN号 | 2169-897X |
| DOI | 10.1002/2016JD025501 |
| 通讯作者 | Liu, Xiaomang(liuxm@igsnrr.ac.cn) |
| 英文摘要 | The Global Land Data Assimilation System (GLDAS) project estimates long-term runoff based on land surface models (LSMs) and provides a potential way to solve the issue of nonexistent streamflow data in gauge-sparse regions such as the Tibetan Plateau (TP). However, the reliability of GLDAS runoff data must be validated before being practically applied. In this study, the streamflows simulated by four LSMs (CLM, Noah, VIC, and Mosaic) in GLDAS coupled with a river routing model are evaluated against observed streamflows in five river basins on the TP. The evaluation criteria include four aspects: monthly streamflow value, seasonal cycle of streamflow, annual streamflow trend, and streamflow component partitioning. The four LSMs display varying degrees of biases in monthly streamflow simulations: systematic overestimations are found in the Noah (1.74bias2.75) and CLM (1.22bias2.53) models, whereas systematic underestimations are observed in the VIC (0.36bias0.85) and Mosaic (0.34bias0.66) models. The Noah model shows the best performance in capturing the temporal variation in monthly streamflow and the seasonal cycle of streamflow, while the VIC model performs the best in terms of bias statistics. The Mosaic model provides the best performance in modeling annual runoff trends and runoff component partitioning. The possible reasons for the different performances of the LSMs are discussed in detail. In order to achieve more accurate streamflow simulations from the LSMs in GLDAS, suggestions are made to further improve the accuracy of the forcing data and parameterization schemes in all models. |
| WOS关键词 | DATA ASSIMILATION SYSTEM ; GENERAL-CIRCULATION MODELS ; GLOBAL VEGETATION MODELS ; MISSISSIPPI RIVER-BASIN ; COMMUNITY CLIMATE MODEL ; SOIL-MOISTURE ; UNITED-STATES ; BASEFLOW SEPARATION ; HYDROLOGICAL MODELS ; WATER-BALANCE |
| 资助项目 | Natural Science Foundation of China[41330529] ; Natural Science Foundation of China[41571024] ; Natural Science Foundation of China[41201034] ; program for Bingwei Excellent Talents, Institute of Geographic Sciences and Natural Resources Research, CAS[2013RC202] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000388293100023 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | Natural Science Foundation of China ; program for Bingwei Excellent Talents, Institute of Geographic Sciences and Natural Resources Research, CAS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/65602]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Xiaomang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA |
| 推荐引用方式 GB/T 7714 | Bai, Peng,Liu, Xiaomang,Yang, Tiantian,et al. Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2016,121(20):12180-12197. |
| APA | Bai, Peng,Liu, Xiaomang,Yang, Tiantian,Liang, Kang,&Liu, Changming.(2016).Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,121(20),12180-12197. |
| MLA | Bai, Peng,et al."Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 121.20(2016):12180-12197. |
入库方式： OAI收割
来源：地理科学与资源研究所
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。