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A Catchment‐Based Hydrologic and Routing Modeling System with explicit river channels
Author(s) -
Goteti Gopi,
Famiglietti James S.,
Asante Kwabena
Publication year - 2008
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2007jd009691
Subject(s) - hydrology (agriculture) , routing (electronic design automation) , flow routing , environmental science , streamflow , drainage basin , hydrological modelling , surface runoff , channel (broadcasting) , floodplain , flood forecasting , discharge , geology , climatology , geography , computer science , computer network , ecology , geotechnical engineering , cartography , biology
In this paper, we present a macroscale hydrologic modeling system with an explicit representation of storage and movement of water in river channels and floodplains. The overall modeling system, called the Catchment‐Based Hydrologic and Routing Modeling System (CHARMS), is composed of a land surface model and a river routing model that operate on a network of hydrologic catchments (or watersheds). The land surface model in CHARMS is based on the National Center for Atmospheric Research Community Land Model. The river routing model in CHARMS generates river discharge by transporting runoff generated by the catchment‐based CLM through the river network. The routing model uses information on channel cross‐section geometry, derived from the 90 m Shuttle Radar Topography Mission digital elevation model, to simulate river discharge and the associated flow depth and inundation width. CHARMS was implemented over the Wabash River basin in the central United States (drainage area 72282 km 2 ), and simulated streamflow was validated using daily observations. Simulated flow depth and inundation extent generally followed seasonal variations in observed flooding and droughts. Limitations of some of the assumptions and scaling factors used in this study and the issues that need to be addressed for a continental‐ or global‐scale implementation of CHARMS are discussed. This paper serves as the foundation for a catchment‐based, global land surface modeling framework that could incorporate spatiotemporal variations in surface water bodies, as well as satellite measurements of these variations.

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