Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027876 |
A framework for estimating global‐scale river discharge by assimilating satellite altimetry | |
Menaka Revel; Daiki Ikeshima; Dai Yamazaki; Shinjiro Kanae | |
2020-12-07 | |
发表期刊 | Water Resources Research |
出版年 | 2020 |
英文摘要 | Understanding spatial and temporal variations in terrestrial waters is key to assessing the global hydrological cycle. The future Surface Water and Ocean Topography (SWOT) satellite mission will observe the elevation and slope of surface waters at < 100 m resolution. Methods for incorporating SWOT measurements into river hydrodynamic models have been developed to generate spatially and temporally continuous discharge estimates. However, most SWOT data assimilation studies have been conducted at the local scale. We developed a novel framework for estimating river discharge at the global‐scale by incorporating SWOT observations into the CaMa‐Flood hydrodynamic model. The local ensemble transform Kalman filter with adaptive local patches was used to assimilate SWOT observations. We tested the framework using multi‐model runoff forcing and inaccurate model parameters represented by corrupted Manning's coefficient values. Assimilation of virtual SWOT observations considerably improved river discharge estimates for continental‐scale rivers at high latitudes (> 50°) and also downstream river reaches at low latitudes. High assimilation efficiency in downstream river reaches was related to both local state correction and the propagation of corrected hydrodynamic states from upstream river reaches. Accurate global river discharge estimates were obtained (Kling–Gupta efficiency [KGE] > 0.90) in river reaches with > 270 accumulated overpasses per SWOT cycle when no model error was assumed. Introducing model errors decreased this accuracy (KGE ≈ 0.85). Therefore, improved hydrodynamic models are essential for maximizing SWOT information. These synthetic experiments showed where discharge estimates could be improved using SWOT observations. Further advances are needed for global‐scale data assimilation. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/308309 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Menaka Revel,Daiki Ikeshima,Dai Yamazaki,等. A framework for estimating global‐scale river discharge by assimilating satellite altimetry[J]. Water Resources Research,2020. |
APA | Menaka Revel,Daiki Ikeshima,Dai Yamazaki,&Shinjiro Kanae.(2020).A framework for estimating global‐scale river discharge by assimilating satellite altimetry.Water Resources Research. |
MLA | Menaka Revel,et al."A framework for estimating global‐scale river discharge by assimilating satellite altimetry".Water Resources Research (2020). |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论