A new global river network database for macroscale hydrologic modeling

被引：114

作者：

Wu, Huan ^{[1
,2
]}

Kimball, John S. ^{[3
,4
]}

Li, Hongyi ^{[5
]}

Huang, Maoyi ^{[5
]}

Leung, L. Ruby ^{[5
]}

Adler, Robert F. ^{[1
,2
]}

机构：

[1] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA

[2] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

[3] Univ Montana, Flathead Lake Biol Stn, Div Biol Sci, Polson, MT 59860 USA

[4] Univ Montana, Coll Forestry & Conservat, Numer Terradynam Simulat Grp, Missoula, MT 59812 USA

[5] Pacific NW Natl Lab, Richland, WA 99352 USA

来源：

WATER RESOURCES RESEARCH | 2012年 / 48卷

关键词：

D O I：

10.1029/2012WR012313

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Coarse-resolution (upscaled) river networks are critical inputs for runoff routing in macroscale hydrologic models. Recently, Wu et al. (2011) developed a hierarchical dominant river tracing (DRT) algorithm for automated extraction and spatial upscaling of river networks using fine-scale hydrography inputs. We applied the DRT algorithms using combined HydroSHEDS and HYDRO1k global fine-scale hydrography inputs and produced a new series of upscaled global river network data at multiple (1/16 degrees to 2 degrees) spatial resolutions. The new upscaled results are internally consistent and congruent with the baseline fine-scale inputs and should facilitate improved regional to global scale hydrologic simulations.

引用

页数：5

共 5 条

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