Assimilation of asar data with a hydrologic and semi-empirical backscattering coupled model to estimate soil moisture
文献类型：期刊论文
| 作者 | Liu Qian; Wang Mingyu; Zhao Yingshi |
| 刊名 | Chinese geographical science
 |
| 出版日期 | 2010-06-01 |
| 卷号 | 20期号:3页码:218-225 |
| 关键词 | Advanced synthetic aperture radar (asar) Distributed hydrology-soil-vegetation model (dhsvm) Oh model Couple Soil moisture Data assimilation |
| ISSN号 | 1002-0063 |
| DOI | 10.1007/s11769-010-0218-6 |
| 通讯作者 | Wang mingyu(mwang@gucas.ac.cn) |
| 英文摘要 | The most promising approach for studying soil moisture is the assimilation of observation data and computational modeling. however, there is much uncertainty in the assimilation process, which affects the assimilation results. this research developed a one-dimensional soil moisture assimilation scheme based on the ensemble kalman filter (enkf) and genetic algorithm (ga). a two-dimensional hydrologic model-distributed hydrology-soil-vegetation model (dhsvm) was coupled with a semi-empirical backscattering model (oh). the advanced synthetic aperture radar (asar) data were assimilated with this coupled model and the field observation data were used to validate this scheme in the soil moisture assimilation experiment. in order to improve the assimilation results, a cost function was set up based on the distance between the simulated backscattering coefficient from the coupled model and the observed backscattering coefficient from asar. the enkf and ga were used to re-initialize and re-parameterize the simulation process, respectively. the assimilation results were compared with the free-run simulations from hydrologic model and the field observation data. the results obtained indicate that this assimilation scheme is practical and it can improve the accuracy of soil moisture estimation significantly. |
| WOS关键词 | GENETIC ALGORITHMS ; SURFACE |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Environmental Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000278809200004 |
| 出版者 | SPRINGER |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2414257 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Wang Mingyu |
| 作者单位 | Chinese Acad Sci, Coll Resource & Environm, Grad Univ, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu Qian,Wang Mingyu,Zhao Yingshi. Assimilation of asar data with a hydrologic and semi-empirical backscattering coupled model to estimate soil moisture[J]. Chinese geographical science,2010,20(3):218-225. |
| APA | Liu Qian,Wang Mingyu,&Zhao Yingshi.(2010).Assimilation of asar data with a hydrologic and semi-empirical backscattering coupled model to estimate soil moisture.Chinese geographical science,20(3),218-225. |
| MLA | Liu Qian,et al."Assimilation of asar data with a hydrologic and semi-empirical backscattering coupled model to estimate soil moisture".Chinese geographical science 20.3(2010):218-225. |
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来源：中国科学院大学
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