Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-5035-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-5035-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Dec 2016
Research article |
| 20 Dec 2016
iCRESTRIGRS: a coupled modeling system for cascading flood–landslide disaster forecasting
Cooperative Institute for Mescoscale Meteorological Studies,
University of Oklahoma, Norman, OK 73072, USA
Hydrometeorology and Remote Sensing (HyDROS) Laboratory, School of
Civil Engineering and Environmental Science, and Advanced Radar Research
Center, University of Oklahoma, Norman, OK 73072, USA
State Key Laboratory of Hydrology-Water Resources and Hydraulic
Engineering, Hohai University, Nanjiang, Jiangsu, 210098, China
Xianwu Xue
Hydrometeorology and Remote Sensing (HyDROS) Laboratory, School of
Civil Engineering and Environmental Science, and Advanced Radar Research
Center, University of Oklahoma, Norman, OK 73072, USA
Hydrometeorology and Remote Sensing (HyDROS) Laboratory, School of
Civil Engineering and Environmental Science, and Advanced Radar Research
Center, University of Oklahoma, Norman, OK 73072, USA
Department of Hydraulic Engineering, Tsinghua University, Beijing,
China
Jonathan J. Gourley
NOAA/National Severe Storms Laboratory, Norman, OK 73072, USA
Ning Lu
Department of Civil & Environmental Engineering, Colorado School of
Mines, Golden, CO 80401, USA
Zhanming Wan
Hydrometeorology and Remote Sensing (HyDROS) Laboratory, School of
Civil Engineering and Environmental Science, and Advanced Radar Research
Center, University of Oklahoma, Norman, OK 73072, USA
Zhen Hong
Hydrometeorology and Remote Sensing (HyDROS) Laboratory, School of
Civil Engineering and Environmental Science, and Advanced Radar Research
Center, University of Oklahoma, Norman, OK 73072, USA
Rick Wooten
North Carolina Geological Survey, North Carolina Department of
Environmental Quality, Swannanoa, NC 28778, USA
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Short summary
We developed a new approach to couple a distributed hydrological model, CREST, to a geotechnical landslide model, TRIGRS, to simulate both flood- and rainfall-triggered landslide hazards. By implementing more sophisticated and realistic representations of hydrological processes in the coupled model system, it shows better performance than the standalone landslide model in the case study. It highlights the important physical connection between rainfall, hydrological processes and slope stability.
We developed a new approach to couple a distributed hydrological model, CREST, to a geotechnical...
