SWAT-Based Hydrological Data Assimilation System (SWAT-HDAS): Description and Case Application to River Basin-Scale Hydrological Predictions
文献类型：期刊论文
| 作者 | Zhang, Ying1,2; Hou, Jinliang1; Gu, Juan3; Huang, Chunlin1,4; Li, Xin1,5 |
| 刊名 | JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
 |
| 出版日期 | 2017-12-01 |
| 卷号 | 9期号:8页码:2863-2882 |
| 关键词 | SWAT data assimilation PDAF EnKF watershed |
| ISSN号 | 1942-2466 |
| DOI | 10.1002/2017MS001144 |
| 通讯作者 | Huang, Chunlin(huangcl@lzb.ac.cn) |
| 英文摘要 | This paper presents the development and application of a physically based hydrological data assimilation system (HDAS) using the gridded and parallelized Soil and Water Assessment Tool (SWATGP) distributed hydrological model. This SWAT-HDAS software integrates remotely sensed data, including the leaf area index (LAI), snow cover fraction, snow water equivalent, soil moisture, and ground-based observational data (e.g., from discharge and ground sensor networks), with SWATGP and the Parallel Data Assimilation Framework (PDAF) to accurately characterize watershed hydrological states and fluxes. SWAT-HDAS employs high-performance computational technologies to address the computational challenges of high-resolution and/or large-area modeling. Multiple observational system simulation experiments (OSSEs), including soil moisture assimilation experiments, snow water equivalent assimilation experiments, and streamflow assimilation experiments, were designed to validate the assimilation efficiency of various types of observations within SWAT-HDAS using an ensemble Kalman filter (EnKF) algorithm. Both the temporal and spatial correlations in the trend/pattern and the magnitudes of improvement between the simulated and "true" states (i.e., for soil moisture, snow water equivalent, and discharge) were satisfactory using the integrated assimilation, which suggests the reliability of SWAT-HDAS for regional hydrology studies. The streamflow assimilation experiment also showed that the observation location dramatically influences the assimilation efficiency. The quantity and quality of observations have effects of varying degrees on the streamflow predictions. SWAT-HDAS is a promising tool for hydrological studies and applications under climate and environmental change scenarios. |
| 收录类别 | SCI |
| WOS关键词 | SOIL-MOISTURE DATA ; ENSEMBLE KALMAN FILTER ; PARAMETER-ESTIMATION ; UNCERTAINTY ANALYSIS ; CLIMATE-CHANGE ; EARTH SYSTEM ; SMAP MISSION ; SNOW COVER ; SWE DATA ; MODEL |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| WOS类目 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000422718400004 |
| 出版者 | AMER GEOPHYSICAL UNION |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2558068 |
| 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.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Lanzhou, Gansu, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Lanzhou Univ, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou, Gansu, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Res, Nanjing, Jiangsu, Peoples R China 5.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Ying,Hou, Jinliang,Gu, Juan,et al. SWAT-Based Hydrological Data Assimilation System (SWAT-HDAS): Description and Case Application to River Basin-Scale Hydrological Predictions[J]. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,2017,9(8):2863-2882. |
| APA | Zhang, Ying,Hou, Jinliang,Gu, Juan,Huang, Chunlin,&Li, Xin.(2017).SWAT-Based Hydrological Data Assimilation System (SWAT-HDAS): Description and Case Application to River Basin-Scale Hydrological Predictions.JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,9(8),2863-2882. |
| MLA | Zhang, Ying,et al."SWAT-Based Hydrological Data Assimilation System (SWAT-HDAS): Description and Case Application to River Basin-Scale Hydrological Predictions".JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 9.8(2017):2863-2882. |
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来源：寒区旱区环境与工程研究所
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