Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025287 |
Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches | |
Lin, Peirong1; Pan, Ming1; Beck, Hylke E.1; Yang, Yuan1,2; Yamazaki, Dai3; Frasson, Renato4; David, Cedric H.5; Durand, Michael4; Pavelsky, Tamlin M.6; Allen, George H.7; Gleason, Colin J.8; Wood, Eric F.1 | |
2019-08-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:8页码:6499-6516 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Peoples R China; Japan |
英文摘要 | Spatiotemporally continuous global river discharge estimates across the full spectrum of stream orders are vital to a range of hydrologic applications, yet they remain poorly constrained. Here we present a carefully designed modeling effort (Variable Infiltration Capacity land surface model and Routing Application for Parallel computation of Discharge river routing model) to estimate global river discharge at very high resolutions. The precipitation forcing is from a recently published 0.1 degrees global product that optimally merged gauge-, reanalysis-, and satellite-based data. To constrain runoff simulations, we use a set of machine learning-derived, global runoff characteristics maps (i.e., runoff at various exceedance probability percentiles) for grid-by-grid model calibration and bias correction. To support spaceborne discharge studies, the river flowlines are defined at their true geometry and location as much as possible -approximately 2.94 million vector flowlines (median length 6.8 km) and unit catchments are derived from a high-accuracy global digital elevation model at 3-arcsec resolution (similar to 90 m), which serves as the underlying hydrography for river routing. Our 35-year daily and monthly model simulations are evaluated against over 14,000 gauges globally. Among them, 35% (64%) have a percentage bias within +/- 20% (+/- 50%), and 29% (62%) have a monthly Kling-Gupta Efficiency >= 0.6 (0.2), showing data robustness at the scale the model is assessed. This reconstructed discharge record can be used as a priori information for the Surface Water and Ocean Topography satellite mission's discharge product, thus named "Global Reach-level A priori Discharge Estimates for Surface Water and Ocean Topography". It can also be used in other hydrologic applications requiring spatially explicit estimates of global river flows. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000490973700009 |
WOS关键词 | SATELLITE-BASED PRECIPITATION ; LAND-SURFACE ; UNGAUGED BASINS ; RUNOFF ; DISCHARGE ; NETWORK ; WATER ; STREAMFLOW ; MODEL ; HYDROLOGY |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
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/185849 |
专题 | 资源环境科学 |
作者单位 | 1.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA; 2.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing, Peoples R China; 3.Univ Tokyo, Inst Ind Sci, Tokyo, Japan; 4.Ohio State Univ, Sch Earth Sci, Columbus, OH 43210 USA; 5.CALTECH, Jet Prop Lab, Pasadena, CA USA; 6.Univ N Carolina, Dept Geol Sci, Chapel Hill, NC 27515 USA; 7.Texas A&M Univ, Dept Geog, College Stn, TX USA; 8.Univ Massachusetts, Dept Civil & Environm Engn, Amherst, MA 01003 USA |
推荐引用方式 GB/T 7714 | Lin, Peirong,Pan, Ming,Beck, Hylke E.,et al. Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches[J]. WATER RESOURCES RESEARCH,2019,55(8):6499-6516. |
APA | Lin, Peirong.,Pan, Ming.,Beck, Hylke E..,Yang, Yuan.,Yamazaki, Dai.,...&Wood, Eric F..(2019).Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches.WATER RESOURCES RESEARCH,55(8),6499-6516. |
MLA | Lin, Peirong,et al."Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches".WATER RESOURCES RESEARCH 55.8(2019):6499-6516. |
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