A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range Journal of Advances in Modeling Earth Systems
收藏NOAA Institutional Repository2023-09-13 更新2026-04-25 收录
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https://doi.org/10.1002/2017ms001120
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资源简介：
A new paradigm of simulating suspended sediment load (SSL) with a Land Surface Model (LSM) is presented here. Five erosion and SSL algorithms were applied within a common LSM framework to quantify uncertainties and evaluate predictability in two steep, forested catchments ( >1,000 km2). The algorithms were chosen from among widely used sediment models, including empirically based: mono- variate rating curve (MRC) and the Modified Universal Soil Loss Equation (MUSLE); stochastically based: the Load Estimator (LOADEST); conceptually based: the Hydrologic Simulation Program—Fortran (HSPF);and physically based: the Distributed Hydrology Soil Vegetation Model (DHSVM). The algorithms were driven by the hydrologic fluxes and meteorological inputs generated from the Variable Infiltration Capac-
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NOAA
创建时间：
2023-09-13
