Articles | Volume 18, issue 1
https://doi.org/10.5194/hess-18-367-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-18-367-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
31 Jan 2014
Research article |
| 31 Jan 2014
Coupled prediction of flood response and debris flow initiation during warm- and cold-season events in the Southern Appalachians, USA
J. Tao
Department of Civil & Environmental Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA
A. P. Barros
Department of Civil & Environmental Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA
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Cited
33 citations as recorded by crossref.
- Orographic Land–Atmosphere Interactions and the Diurnal Cycle of Low-Level Clouds and Fog A. Wilson & A. Barros https://doi.org/10.1175/JHM-D-16-0186.1
- InSAR Meteorology: High‐Resolution Geodetic Data Can Increase Atmospheric Predictability P. Miranda et al. https://doi.org/10.1029/2018GL081336
- Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco H. Rahali https://doi.org/10.1080/10106049.2017.1357767
- Soil characterization for shallow landslides modeling: a case study in the Northern Apennines (Central Italy) V. Tofani et al. https://doi.org/10.1007/s10346-017-0809-8
- A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides Y. Zou & C. Zheng https://doi.org/10.3390/app12094333
- Scoping a field experiment: error diagnostics of TRMM precipitation radar estimates in complex terrain as a basis for IPHEx2014 Y. Duan et al. https://doi.org/10.5194/hess-19-1501-2015
- Multi-year surface radiative properties and vegetation parameters for hydrologic modeling in regions of complex terrain—Methodology and evaluation over the Integrated Precipitation and Hydrology Experiment 2014 domain J. Tao & A. Barros https://doi.org/10.1016/j.ejrh.2019.100596
- Multi-year atmospheric forcing datasets for hydrologic modeling in regions of complex terrain – Methodology and evaluation over the Integrated Precipitation and Hydrology Experiment 2014 domain J. Tao & A. Barros https://doi.org/10.1016/j.jhydrol.2016.12.058
- Simulating the spatio-temporal dynamics of soil erosion, deposition, and yield using a coupled sediment dynamics and 3D distributed hydrologic model T. Zi et al. https://doi.org/10.1016/j.envsoft.2016.06.004
- The role of root dynamics on the climate sensitivity of ecohydrological processes of over- and understory in a semi-arid groundwater-dependent ecosystem Q. Liu & A. Barros https://doi.org/10.3389/fenvs.2024.1477059
- A coupled hydrological-geotechnical framework for forecasting shallow landslide hazard—a case study in Halong City, Vietnam N. Ha et al. https://doi.org/10.1007/s10346-020-01385-8
- Toward optimal rainfall for flood prediction in headwater basins – improving soil moisture initialization to close the water budget within observational uncertainty M. Liao & A. Barros https://doi.org/10.1016/j.ejrh.2025.102700
- Measurement uncertainty in rainfall kinetic energy and intensity relationships for soil erosion studies: An evaluation using PARSIVEL disdrometers in the Southern Appalachian Mountains M. Angulo-Martínez & A. Barros https://doi.org/10.1016/j.geomorph.2014.07.036
- Rainfall Variability, Wetland Persistence, and Water–Carbon Cycle Coupling in the Upper Zambezi River Basin in Southern Africa L. Lowman et al. https://doi.org/10.3390/rs10050692
- Toward optimal rainfall – Hydrologic QPE correction in headwater basins M. Liao & A. Barros https://doi.org/10.1016/j.rse.2022.113107
- Machine learning enhanced framework for rainfall-induced debris flows spatio-temporal prediction: Integrating mobilized materials and hydrological processes W. Zhou et al. https://doi.org/10.1016/j.ejrh.2025.103046
- A Study of Two Impactful Heavy Rainfall Events in the Southern Appalachian Mountains during Early 2020, Part I; Societal Impacts, Synoptic Overview, and Historical Context D. Miller et al. https://doi.org/10.3390/rs13132452
- Coupled prediction of flash flood response and debris flow occurrence: Application on an alpine extreme flood event E. Destro et al. https://doi.org/10.1016/j.jhydrol.2018.01.021
- StageIV-IRC: a high-resolution dataset of extreme orographic Quantitative Precipitation Estimates (QPE) constrained to water budget closure for historical floods in the Appalachian Mountains M. Liao & A. Barros https://doi.org/10.5194/essd-18-2047-2026
- Landform controls on low level moisture convergence and the diurnal cycle of warm season orographic rainfall in the Southern Appalachians A. Wilson & A. Barros https://doi.org/10.1016/j.jhydrol.2015.10.068
- Interplay of drought and tropical cyclone activity in SE U.S. gross primary productivity L. Lowman & A. Barros https://doi.org/10.1002/2015JG003279
- Responses to Landslides and Landslide Mapping on the Blue Ridge Escarpment, Polk County, North Carolina, USA R. Wooten et al. https://doi.org/10.2113/EEG-D-21-00022
- Geotechnical and hydrological characterization of hillslope deposits for regional landslide prediction modeling G. Bicocchi et al. https://doi.org/10.1007/s10064-018-01449-z
- Unraveling phenological and stomatal responses to flash drought and implications for water and carbon budgets N. Corak et al. https://doi.org/10.5194/hess-28-1827-2024
- An Expanded Investigation of Atmospheric Rivers in the Southern Appalachian Mountains and Their Connection to Landslides D. Miller et al. https://doi.org/10.3390/atmos10020071
- Reconceptualising flood risk assessment by incorporating sediment supply H. Liu et al. https://doi.org/10.1016/j.catena.2022.106503
- Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge J. Tao et al. https://doi.org/10.1016/j.jhydrol.2016.02.019
- Loss of moisture from the lack of a snowpack increases winter frond damage in Dryopteris intermedia1 J. Tessier https://doi.org/10.3159/TORREY-D-23-00016.1
- Transformer, more than meets the eye: A deep learning approach to integrate rainfall time-series in multi-type landslide probability modelling R. Rani et al. https://doi.org/10.1016/j.gsf.2026.102295
- Predicting canopy biophysical properties and sensitivity of plant carbon uptake to water limitations with a coupled eco-hydrological framework L. Lowman & A. Barros https://doi.org/10.1016/j.ecolmodel.2018.01.011
- iCRESTRIGRS: a coupled modeling system for cascading flood–landslide disaster forecasting K. Zhang et al. https://doi.org/10.5194/hess-20-5035-2016
- Development of a coupled hydrological-geotechnical framework for rainfall-induced landslides prediction X. He et al. https://doi.org/10.1016/j.jhydrol.2016.10.016
- The relationship of human activities and rainfall-induced landslide and debris flow hazards in Central China L. Sun et al. https://doi.org/10.1007/s11069-021-04577-0
33 citations as recorded by crossref.
- Orographic Land–Atmosphere Interactions and the Diurnal Cycle of Low-Level Clouds and Fog A. Wilson & A. Barros https://doi.org/10.1175/JHM-D-16-0186.1
- InSAR Meteorology: High‐Resolution Geodetic Data Can Increase Atmospheric Predictability P. Miranda et al. https://doi.org/10.1029/2018GL081336
- Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco H. Rahali https://doi.org/10.1080/10106049.2017.1357767
- Soil characterization for shallow landslides modeling: a case study in the Northern Apennines (Central Italy) V. Tofani et al. https://doi.org/10.1007/s10346-017-0809-8
- A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides Y. Zou & C. Zheng https://doi.org/10.3390/app12094333
- Scoping a field experiment: error diagnostics of TRMM precipitation radar estimates in complex terrain as a basis for IPHEx2014 Y. Duan et al. https://doi.org/10.5194/hess-19-1501-2015
- Multi-year surface radiative properties and vegetation parameters for hydrologic modeling in regions of complex terrain—Methodology and evaluation over the Integrated Precipitation and Hydrology Experiment 2014 domain J. Tao & A. Barros https://doi.org/10.1016/j.ejrh.2019.100596
- Multi-year atmospheric forcing datasets for hydrologic modeling in regions of complex terrain – Methodology and evaluation over the Integrated Precipitation and Hydrology Experiment 2014 domain J. Tao & A. Barros https://doi.org/10.1016/j.jhydrol.2016.12.058
- Simulating the spatio-temporal dynamics of soil erosion, deposition, and yield using a coupled sediment dynamics and 3D distributed hydrologic model T. Zi et al. https://doi.org/10.1016/j.envsoft.2016.06.004
- The role of root dynamics on the climate sensitivity of ecohydrological processes of over- and understory in a semi-arid groundwater-dependent ecosystem Q. Liu & A. Barros https://doi.org/10.3389/fenvs.2024.1477059
- A coupled hydrological-geotechnical framework for forecasting shallow landslide hazard—a case study in Halong City, Vietnam N. Ha et al. https://doi.org/10.1007/s10346-020-01385-8
- Toward optimal rainfall for flood prediction in headwater basins – improving soil moisture initialization to close the water budget within observational uncertainty M. Liao & A. Barros https://doi.org/10.1016/j.ejrh.2025.102700
- Measurement uncertainty in rainfall kinetic energy and intensity relationships for soil erosion studies: An evaluation using PARSIVEL disdrometers in the Southern Appalachian Mountains M. Angulo-Martínez & A. Barros https://doi.org/10.1016/j.geomorph.2014.07.036
- Rainfall Variability, Wetland Persistence, and Water–Carbon Cycle Coupling in the Upper Zambezi River Basin in Southern Africa L. Lowman et al. https://doi.org/10.3390/rs10050692
- Toward optimal rainfall – Hydrologic QPE correction in headwater basins M. Liao & A. Barros https://doi.org/10.1016/j.rse.2022.113107
- Machine learning enhanced framework for rainfall-induced debris flows spatio-temporal prediction: Integrating mobilized materials and hydrological processes W. Zhou et al. https://doi.org/10.1016/j.ejrh.2025.103046
- A Study of Two Impactful Heavy Rainfall Events in the Southern Appalachian Mountains during Early 2020, Part I; Societal Impacts, Synoptic Overview, and Historical Context D. Miller et al. https://doi.org/10.3390/rs13132452
- Coupled prediction of flash flood response and debris flow occurrence: Application on an alpine extreme flood event E. Destro et al. https://doi.org/10.1016/j.jhydrol.2018.01.021
- StageIV-IRC: a high-resolution dataset of extreme orographic Quantitative Precipitation Estimates (QPE) constrained to water budget closure for historical floods in the Appalachian Mountains M. Liao & A. Barros https://doi.org/10.5194/essd-18-2047-2026
- Landform controls on low level moisture convergence and the diurnal cycle of warm season orographic rainfall in the Southern Appalachians A. Wilson & A. Barros https://doi.org/10.1016/j.jhydrol.2015.10.068
- Interplay of drought and tropical cyclone activity in SE U.S. gross primary productivity L. Lowman & A. Barros https://doi.org/10.1002/2015JG003279
- Responses to Landslides and Landslide Mapping on the Blue Ridge Escarpment, Polk County, North Carolina, USA R. Wooten et al. https://doi.org/10.2113/EEG-D-21-00022
- Geotechnical and hydrological characterization of hillslope deposits for regional landslide prediction modeling G. Bicocchi et al. https://doi.org/10.1007/s10064-018-01449-z
- Unraveling phenological and stomatal responses to flash drought and implications for water and carbon budgets N. Corak et al. https://doi.org/10.5194/hess-28-1827-2024
- An Expanded Investigation of Atmospheric Rivers in the Southern Appalachian Mountains and Their Connection to Landslides D. Miller et al. https://doi.org/10.3390/atmos10020071
- Reconceptualising flood risk assessment by incorporating sediment supply H. Liu et al. https://doi.org/10.1016/j.catena.2022.106503
- Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge J. Tao et al. https://doi.org/10.1016/j.jhydrol.2016.02.019
- Loss of moisture from the lack of a snowpack increases winter frond damage in Dryopteris intermedia1 J. Tessier https://doi.org/10.3159/TORREY-D-23-00016.1
- Transformer, more than meets the eye: A deep learning approach to integrate rainfall time-series in multi-type landslide probability modelling R. Rani et al. https://doi.org/10.1016/j.gsf.2026.102295
- Predicting canopy biophysical properties and sensitivity of plant carbon uptake to water limitations with a coupled eco-hydrological framework L. Lowman & A. Barros https://doi.org/10.1016/j.ecolmodel.2018.01.011
- iCRESTRIGRS: a coupled modeling system for cascading flood–landslide disaster forecasting K. Zhang et al. https://doi.org/10.5194/hess-20-5035-2016
- Development of a coupled hydrological-geotechnical framework for rainfall-induced landslides prediction X. He et al. https://doi.org/10.1016/j.jhydrol.2016.10.016
- The relationship of human activities and rainfall-induced landslide and debris flow hazards in Central China L. Sun et al. https://doi.org/10.1007/s11069-021-04577-0
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