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A new global river network database for macroscale hydrologic modeling
Author(s) -
Wu Huan,
Kimball John S.,
Li Hongyi,
Huang Maoyi,
Leung L. Ruby,
Adler Robert F.
Publication year - 2012
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2012wr012313
Subject(s) - hydrography , hydrological modelling , surface runoff , scale (ratio) , hydrology (agriculture) , environmental science , routing (electronic design automation) , tracing , geology , computer science , climatology , cartography , geography , oceanography , geotechnical engineering , ecology , computer network , biology , operating system
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° to 2°) 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.