Abstract
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 km2), 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.
Highlights
The routing algorithm in Catchment-Based Hydrologic and Routing Modeling System (CHARMS) includes an explicit representation of river channels and floodplains, and uses channel cross-section information to estimate depth and inundation extent associated with river discharge
Because of the higher runoff generated by the Community Land Model (CLM) during the high-flow seasons, CHARMS typically overestimates runoff and misses some of the observed peaks in the daily streamflow
[32] Other than changing the convective velocity, Vc, calibration of CLM runoff parameters [e.g., see Niu et al, 2005] was not pursued because the main objective of this study is to demonstrate the general feasibility of CHARMS and its routing model in the context of climate simulation, where significant parameter tuning is unlikely
Summary
Received 8 December 2007; revised 24 March 2008; accepted 29 April 2008; published 22 July 2008. [1] 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 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. 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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