Modeling Sediment Yield in Land Surface and Earth System Models: Model Comparison, Development, and Evaluation

Tan, Zeli; Leung, L. Ruby; Li, Hong‐Yi; Tesfa, Teklu

doi:10.1029/2017MS001270

Title: Modeling Sediment Yield in Land Surface and Earth System Models: Model Comparison, Development, and Evaluation

Journal Article · 01 September 2018 · Journal of Advances in Modeling Earth Systems

DOI: https://doi.org/10.1029/2017MS001270 · OSTI ID:1468834

^[1];

^[2]; Tesfa, Teklu ^[1]

Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Univ. of Houston, Houston, TX (United States). Dept. of Civil and Environmental Engineering

Sediment yield (SY) plays an important role in the global carbon cycle for carrying particulate carbon into rivers and oceans, but it is rarely represented in Earth system models (ESMs). Existing SY models have mostly been tested over a few small catchments in specific regions or in large river basins globally. By comparing the performance of eight well–known SY models in 454 small catchments with various land covers and uses across the United States, Canada, Puerto Rico, U.S. Virgin Islands, and Guam, we identified the simple Morgan model for its better performance in representing the spatial variability of continental scale SY at spatial scales relevant to ESMs (several to hundreds of square kilometers) than other models because of a more realistic representation of runoff–driven erosion and sediment transport capacity in the context of current data availability. The results also indicated that runoff–driven erosion should be formulated using a power function of runoff, shear stress, or stream power to better represent the total effect of concentrated flow if gully erosion and channel erosion are not explicitly modeled. We also demonstrated that the Morgan model can be further improved by removing snowmelt–driven runoff in modeling runoff–driven erosion and to a minor degree by integrating a landslide model. The improved Morgan model explains 57% of the spatial variability of the measured SY. In conclusion, the new model also demonstrated the capability to simulate SY in cross–validation catchments at fine temporal scales, which is important for coupling SY with other biogeochemistry processes in ESMs.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830; KP1703020

OSTI ID:: 1468834

Alternate ID(s):: OSTI ID: 1468835; OSTI ID: 1512864

Report Number(s):: PNNL-SA-133207

Journal Information:: Journal of Advances in Modeling Earth Systems, Vol. 10, Issue 9; ISSN 1942-2466

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 23 works

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