A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro

A soil erosion and sediment transport model (WRF-Hydro-Sed) is introduced to WRF-Hydro. As a process-based, fully distributed soil erosion model, WRF-Hydro-Sed accounts for both overland and channel processes. Model performance is evaluated using observed rain gauge, streamflow, and sediment concent...

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Main Authors: Dongxiao Yin, Z. George Xue, David J. Gochis, Wei Yu, Mirce Morales, Arezoo Rafieeinasab
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/6/1840
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spelling doaj-2ae8795f22454898a66a46662fad903d2020-11-25T02:45:34ZengMDPI AGWater2073-44412020-06-01121840184010.3390/w12061840A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-HydroDongxiao Yin0Z. George Xue1David J. Gochis2Wei Yu3Mirce Morales4Arezoo Rafieeinasab5Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, USADepartment of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, USANational Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO 80305, USAWeather Tech Services, LLC, Longmont, CO 80503, USASchool of Engineering, National Autonomous University of Mexico, Mexico City, CP 04510, MexicoNational Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO 80305, USAA soil erosion and sediment transport model (WRF-Hydro-Sed) is introduced to WRF-Hydro. As a process-based, fully distributed soil erosion model, WRF-Hydro-Sed accounts for both overland and channel processes. Model performance is evaluated using observed rain gauge, streamflow, and sediment concentration data during rainfall events in the Goodwin Creek Experimental Watershed in Mississippi, USA. Both streamflow and sediment yield can be calibrated and validated successfully at a watershed scale during rainfall events. Further discussion reveals the model’s uncertainty and the applicability of calibrated hydro- and sediment parameters to different events. While an intensive calibration over multiple events can improve the model’s performance to a certain degree compared with single event-based calibration, it might not be an optimal strategy to carry out considering the tremendous computational resources needed.https://www.mdpi.com/2073-4441/12/6/1840WRF-HydroCASC2D-SEDGoodwin Creek Experimental WatershedNLDAS-2calibration
collection DOAJ
language English
format Article
sources DOAJ
author Dongxiao Yin
Z. George Xue
David J. Gochis
Wei Yu
Mirce Morales
Arezoo Rafieeinasab
spellingShingle Dongxiao Yin
Z. George Xue
David J. Gochis
Wei Yu
Mirce Morales
Arezoo Rafieeinasab
A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro
Water
WRF-Hydro
CASC2D-SED
Goodwin Creek Experimental Watershed
NLDAS-2
calibration
author_facet Dongxiao Yin
Z. George Xue
David J. Gochis
Wei Yu
Mirce Morales
Arezoo Rafieeinasab
author_sort Dongxiao Yin
title A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro
title_short A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro
title_full A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro
title_fullStr A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro
title_full_unstemmed A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro
title_sort process-based, fully distributed soil erosion and sediment transport model for wrf-hydro
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2020-06-01
description A soil erosion and sediment transport model (WRF-Hydro-Sed) is introduced to WRF-Hydro. As a process-based, fully distributed soil erosion model, WRF-Hydro-Sed accounts for both overland and channel processes. Model performance is evaluated using observed rain gauge, streamflow, and sediment concentration data during rainfall events in the Goodwin Creek Experimental Watershed in Mississippi, USA. Both streamflow and sediment yield can be calibrated and validated successfully at a watershed scale during rainfall events. Further discussion reveals the model’s uncertainty and the applicability of calibrated hydro- and sediment parameters to different events. While an intensive calibration over multiple events can improve the model’s performance to a certain degree compared with single event-based calibration, it might not be an optimal strategy to carry out considering the tremendous computational resources needed.
topic WRF-Hydro
CASC2D-SED
Goodwin Creek Experimental Watershed
NLDAS-2
calibration
url https://www.mdpi.com/2073-4441/12/6/1840
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