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DOI10.3390/rs12132103
A New and Simplified Approach for Estimating the Daily River Discharge of the Tibetan Plateau Using Satellite Precipitation: An Initial Study on the Upper Brahmaputra River
Zeng, Tian; Wang, Lei; Li, Xiuping; Song, Lei; Zhang, Xiaotao; Zhou, Jing; Gao, Bing; Liu, Ruishun
通讯作者Wang, L (通讯作者)
发表日期2020
EISSN2072-4292
卷号12期号:13
英文摘要Collecting in situ observations from remote, high mountain rivers presents major challenges, yet real-time, high temporal resolution (e.g., daily) discharge data are critical for flood hazard mitigation and river management. In this study, we propose a method for estimating daily river discharge (RD) based on free, operational remote sensing precipitation data (Tropical Rainfall Measuring Mission (TRMM), since 2001). In this method, an exponential filter was implemented to produce a new precipitation time series from daily basin-averaged precipitation data to model the time lag of precipitation in supplying RD, and a linear-regression relationship was constructed between the filtered precipitation time series and observed discharge records. Because of different time lags in the wet season (rainfall-dominant) and dry season (snowfall-dominant), the precipitation data were processed in a segmented way (from June to October and from November to May). The method was evaluated at two hydrological gauging stations in the Upper Brahmaputra (UB) river basin, where Nash-Sutcliffe Efficiency (NSE) coefficients for Nuxia (>0.85) and Yangcun (>0.80) indicate good performance. By using the degree-day method to estimate the snowmelt and acquire the time series of new active precipitation (rainfall plus snowmelt) in the target basins, the discharge estimations were improved (NSE > 0.9 for Nuxia) compared to the original data. This makes the method applicable for most rivers on the Tibetan Plateau, which are fed mainly by precipitation (including snowfall) and are subject to limited human interference. The method also performs well for reanalysis precipitation data (Chinese Meteorological Forcing Dataset (CMFD), 1980-2000). The real-time or historical discharges can be derived from satellite precipitation data (or reanalysis data for earlier historical years) by using our method.
关键词CLIMATE-CHANGEALTIMETRY DATASOIL-MOISTURERATING CURVESMODELBASINSURFACEMODISSTREAMFLOWHYDROLOGY
英文关键词daily discharge estimation; satellite precipitation; rainfall and snowfall; exponential filter; Tibetan Plateau
语种英语
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000550380300001
来源期刊REMOTE SENSING
来源机构中国科学院青藏高原研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/259842
推荐引用方式
GB/T 7714
Zeng, Tian,Wang, Lei,Li, Xiuping,et al. A New and Simplified Approach for Estimating the Daily River Discharge of the Tibetan Plateau Using Satellite Precipitation: An Initial Study on the Upper Brahmaputra River[J]. 中国科学院青藏高原研究所,2020,12(13).
APA Zeng, Tian.,Wang, Lei.,Li, Xiuping.,Song, Lei.,Zhang, Xiaotao.,...&Liu, Ruishun.(2020).A New and Simplified Approach for Estimating the Daily River Discharge of the Tibetan Plateau Using Satellite Precipitation: An Initial Study on the Upper Brahmaputra River.REMOTE SENSING,12(13).
MLA Zeng, Tian,et al."A New and Simplified Approach for Estimating the Daily River Discharge of the Tibetan Plateau Using Satellite Precipitation: An Initial Study on the Upper Brahmaputra River".REMOTE SENSING 12.13(2020).
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