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Peer-reviewed

Benchmarking of a Physically Based Hydrologic Model

Andrew J. Newman, Naoki Mizukami, Martyn Clark, Andrew W. Wood, Bart Nijssen, Grey Nearing

Journal of Hydrometeorology · 2017

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Summary

Abstract The concepts of model benchmarking, model agility, and large-sample hydrology are becoming more prevalent in hydrologic and land surface modeling. As modeling systems become more sophisticated, these concepts have the ability to help improve modeling capabilities and understanding. In this paper, their utility is demonstrated with an application of the physically based Variable Infiltration Capacity model (VIC). The authors implement VIC for a sample of 531 basins across the contiguous United States, incrementally increase model agility, and perform comparisons to a benchmark. The use of a large-sample set allows for statistically robust comparisons and subcategorization across hydroclimate conditions. Our benchmark is a calibrated, time-stepping, conceptual hydrologic model. This

Source type
Peer-reviewed study
DOI
10.1175/jhm-d-16-0284.1
Catalogue ID
BFmoef2us1-v3f19j
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