| A review on evapotranspiration data assimilation based on hydrological models | |
| Dong Q. Q.; Zhan, C. S.; Wang, H. X.; Wang, F. Y.; Zhu, M. C. | |
| 2016 | |
| 关键词 | evapotranspiration data assimilation hydrological model non-state variable northwest china heihe river water streamflow catchment parameters filter states |
| 英文摘要 | Accurate estimation of evapotranspiration (ET), especially at the regional scale, is an extensively investigated topic in the field of water science. The ability to obtain a continuous time series of highly precise ET values is necessary for improving our knowledge of fundamental hydrological processes and for addressing various problems regarding the use of water. This objective can be achieved by means of ET data assimilation based on hydrological modeling. In this paper, a comprehensive review of ET data assimilation based on hydrological modeling is provided. The difficulties and bottlenecks of using ET, being a non-state variable, to construct data assimilation relationships are elaborated upon, with a discussion and analysis of the feasibility of assimilating ET into various hydrological models. Based on this, a new easy-to-operate ET assimilation scheme that includes a water circulation physical mechanism is proposed. The scheme was developed with an improved data assimilation system that uses a distributed time-variant gain model (DTVGM), and the ET-soil humidity nonlinear time response relationship of this model. Moreover, the ET mechanism in the DTVGM was improved to perfect the ET data assimilation system. The new scheme may provide the best spatial and temporal characteristics for hydrological states, and may be referenced for accurate estimation of regional evapotranspiration. |
| 出处 | Journal of Geographical Sciences |
| 卷 | 26 |
| 期 | 2 |
| 页 | 230-242 |
| 语种 | 英语 |
| ISSN号 | 1009-637X |
| DOI标识 | 10.1007/s11442-016-1265-4 |
| 内容类型 | SCI/SSCI论文 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/42915]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Dong Q. Q.,Zhan, C. S.,Wang, H. X.,et al. A review on evapotranspiration data assimilation based on hydrological models. 2016. |
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