Simultaneous estimation of surface soil moisture and soil properties with a dual ensemble Kalman smoother
文献类型：期刊论文
| 作者 | Chu Nan1,2; Huang ChunLin2,3; Li Xin2,4; Du PeiJun1 |
| 刊名 | SCIENCE CHINA-EARTH SCIENCES
 |
| 出版日期 | 2015-12-01 |
| 卷号 | 58期号:12页码:2327-2339 |
| 关键词 | soil moisture soil properties data assimilation state-parameter estimation dual ensemble Kalman smoother |
| ISSN号 | 1674-7313 |
| DOI | 10.1007/s11430-015-5175-6 |
| 通讯作者 | Huang ChunLin(huangcl@lzb.ac.cn) |
| 英文摘要 | In this paper, a new state-parameter estimation approach is presented based on the dual ensemble Kalman smoother (DEnKS) and simple biosphere model (SiB2) to sequentially estimate both the soil properties and soil moisture profile by assimilating surface soil moisture observations. The Arou observation station, located in the upper reaches of the Heihe River in northwestern China, was selected to test the proposed method. Three numeric experiments were designed and performed to analyze the influence of uncertainties in model parameters, atmospheric forcing, and the model's physical mechanics on soil moisture estimates. Several assimilation schemes based on the ensemble Kalman filter (EnKF), ensemble Kalman smoother (EnKS), and dual EnKF (DEnKF) were also compared in this study. The results demonstrate that soil moisture and soil properties can be simultaneously estimated by state-parameter estimation methods, which can provide more accurate estimation of soil moisture than traditional filter methods such as EnKF and EnKS. The estimation accuracy of the model parameters decreased with increasing error sources. DEnKS outperformed DEnKF in estimating soil moisture in most cases, especially where few observations were available. This study demonstrates that the DEnKS approach is a useful and practical way to improve soil moisture estimation. |
| 收录类别 | SCI |
| WOS关键词 | LAND DATA ASSIMILATION ; HEIHE RIVER-BASIN ; PARAMETER-ESTIMATION ; PARTICLE FILTER ; TIBETAN PLATEAU ; MODEL ; SYSTEM ; STATE |
| WOS研究方向 | Geology |
| WOS类目 | Geosciences, Multidisciplinary |
| 语种 | 英语 |
| WOS记录号 | WOS:000365769400019 |
| 出版者 | SCIENCE PRESS |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557171 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Huang ChunLin |
| 作者单位 | 1.China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Peoples R China 2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Peoples R China 3.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chu Nan,Huang ChunLin,Li Xin,et al. Simultaneous estimation of surface soil moisture and soil properties with a dual ensemble Kalman smoother[J]. SCIENCE CHINA-EARTH SCIENCES,2015,58(12):2327-2339. |
| APA | Chu Nan,Huang ChunLin,Li Xin,&Du PeiJun.(2015).Simultaneous estimation of surface soil moisture and soil properties with a dual ensemble Kalman smoother.SCIENCE CHINA-EARTH SCIENCES,58(12),2327-2339. |
| MLA | Chu Nan,et al."Simultaneous estimation of surface soil moisture and soil properties with a dual ensemble Kalman smoother".SCIENCE CHINA-EARTH SCIENCES 58.12(2015):2327-2339. |
入库方式： iSwitch采集
来源：寒区旱区环境与工程研究所
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。