Identifying time-varying hydrological model parameters to improve simulation efficiency by the ensemble Kalman filter: A joint assimilation of streamflow and actual evapotranspiration | |
Xiong, Mengsi; Liu, Pan; Cheng, Lei; Deng, Chao; Gui, Ziling; Zhang, Xiaojing; Liu, Yanghe | |
刊名 | JOURNAL OF HYDROLOGY |
2019 | |
卷号 | 568 |
关键词 | Multivariate data assimilation Time-varying model parameter Ensemble Kalman filter |
ISSN号 | 0022-1694 |
DOI | 10.1016/j.jhydrol.2018.11.038 |
URL标识 | 查看原文 |
收录类别 | EI ; SCIE |
语种 | 英语 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4288838 |
专题 | 武汉大学 |
推荐引用方式 GB/T 7714 | Xiong, Mengsi,Liu, Pan,Cheng, Lei,et al. Identifying time-varying hydrological model parameters to improve simulation efficiency by the ensemble Kalman filter: A joint assimilation of streamflow and actual evapotranspiration[J]. JOURNAL OF HYDROLOGY,2019,568. |
APA | Xiong, Mengsi.,Liu, Pan.,Cheng, Lei.,Deng, Chao.,Gui, Ziling.,...&Liu, Yanghe.(2019).Identifying time-varying hydrological model parameters to improve simulation efficiency by the ensemble Kalman filter: A joint assimilation of streamflow and actual evapotranspiration.JOURNAL OF HYDROLOGY,568. |
MLA | Xiong, Mengsi,et al."Identifying time-varying hydrological model parameters to improve simulation efficiency by the ensemble Kalman filter: A joint assimilation of streamflow and actual evapotranspiration".JOURNAL OF HYDROLOGY 568(2019). |
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