Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021WR029655 |
Hydrologic Model Parameter Estimation in Ungauged Basins using Simulated SWOT Discharge Observations | |
Nicholas J. Elmer; James McCreight; Christopher Hain | |
2021-10-09 | |
发表期刊 | Water Resources Research |
出版年 | 2021 |
英文摘要 | In situ gauge networks are often used in hydrologic model calibration, but these networks are limited or nonexistent in many regions. The upcoming Surface Water Ocean Topography (SWOT) mission promises to fill this observation gap by providing discharge estimates for rivers wider than 100 meters. SWOT observation utility for model parameter selection in regions devoid of in situ gauges is assessed using proxy SWOT discharge estimates derived from an observing system simulation experiment and Monte Carlo methods. The sensitivity of the parameter selection to measurement error and observation frequency is also evaluated. Single- and multi-point parameter selection are performed for ten sub-basins within the Susitna and upper Tanana river basins in Alaska. SWOT is expected to observe Alaskan river points 4-7 times per 21-day repeat cycle with 120-km swath coverage. For an expected SWOT measurement error of 35%, parameter estimation is successful for 50% (90%) of sub-basins using single- (multi-) point parameter selection. Decreasing observation frequency to simulate lower latitudes resulted in success for only 10% of midlatitude and tropical sub-basins for single-point selection, whereas multi-point selection was successful in 80% (60%) of midlatitude (tropical) sub-basins. Single-point parameter selection is more sensitive to measurement error than multi-point parameter selection. The results strongly support the use of multi-point over single-point parameter selection, yielding robust results nearly independent of observation frequency. Most importantly, this study suggests SWOT can be used to successfully select hydrologic model parameters in basins without an in situ gauge network. |
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/339770 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Nicholas J. Elmer,James McCreight,Christopher Hain. Hydrologic Model Parameter Estimation in Ungauged Basins using Simulated SWOT Discharge Observations[J]. Water Resources Research,2021. |
APA | Nicholas J. Elmer,James McCreight,&Christopher Hain.(2021).Hydrologic Model Parameter Estimation in Ungauged Basins using Simulated SWOT Discharge Observations.Water Resources Research. |
MLA | Nicholas J. Elmer,et al."Hydrologic Model Parameter Estimation in Ungauged Basins using Simulated SWOT Discharge Observations".Water Resources Research (2021). |
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