Journal article
An Investigation of Errors in Distributed Models' Stream Discharge Prediction Due to Channel Routing
Journal of the American Water Resources Association, Vol.54(3), pp.742-751
06/2018
DOI: 10.1111/1752-1688.12627
Abstract
Over the summer of 2015, the National Water Center hosted the National Flood Interoperability Experiment (NFIE) Summer Institute. The NFIE organizers introduced a national‐scale distributed hydrologic modeling framework that can provide flow estimates at around 2.67 million reaches within the continental United States. The framework generates discharges by coupling a given Land Surface Model (LSM) with the Routing Application for Parallel Computation of Discharge (RAPID). These discharges are then accumulated through the National Hydrography Dataset Plus stream network. The framework can utilize a variety of LSMs to provide the runoff maps to the routing component. The results obtained from this framework suggested that there still exists room for further enhancements to its performance, especially in the area of peak timing and magnitude. The goal of our study was to investigate a single source of the errors in the framework's discharge estimates, which is the routing component. The authors substitute RAPID which is based on the simplified linear Muskingum routing method by the nonlinear routing component the Iowa Flood Center have incorporated in their full hydrologic Hillslope‐Link Model. Our results show improvement in model performance across scales due to incorporating new routing methodology.
Details
- Title: Subtitle
- An Investigation of Errors in Distributed Models' Stream Discharge Prediction Due to Channel Routing
- Creators
- Mohamed ElSaadani - University of Louisiana at LafayetteWitold F Krajewski - University of IowaRadoslaw Goska - University of IowaMichael B Smith - NOAA National Weather Service
- Resource Type
- Journal article
- Publication Details
- Journal of the American Water Resources Association, Vol.54(3), pp.742-751
- DOI
- 10.1111/1752-1688.12627
- ISSN
- 1093-474X
- eISSN
- 1752-1688
- Number of pages
- 10
- Grant note
- University Corporation for Atmospheric Research (Z16‐23476)
- Language
- English
- Date published
- 06/2018
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9984197443102771
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