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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2020-06-01
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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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