Articles | Volume 19, issue 7
Hydrol. Earth Syst. Sci., 19, 3239–3251, 2015
https://doi.org/10.5194/hess-19-3239-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 19, 3239–3251, 2015
https://doi.org/10.5194/hess-19-3239-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 24 Jul 2015
Research article | 24 Jul 2015
Flood and drought hydrologic monitoring: the role of model parameter uncertainty
N. W. Chaney et al.
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Cited
27 citations as recorded by crossref.
- Mapping (dis)agreement in hydrologic projections L. Melsen et al. 10.5194/hess-22-1775-2018
- Limitations of Water Resources Infrastructure for Reducing Community Vulnerabilities to Extremes and Uncertainty of Flood and Drought D. McMartin et al. 10.1007/s00267-018-1104-8
- POLARIS Soil Properties: 30‐m Probabilistic Maps of Soil Properties Over the Contiguous United States N. Chaney et al. 10.1029/2018WR022797
- Hydrological Drought Simulations: How Climate and Model Structure Control Parameter Sensitivity L. Melsen & B. Guse 10.1029/2019WR025230
- Comparison of single-site, multi-site and multi-variable SWAT calibration strategies A. Franco et al. 10.1080/02626667.2020.1810252
- Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al. 10.1016/j.envsoft.2016.09.012
- Global Sensitivity Analysis of a Reactive Transport Model for Mineral Scale Formation During Hydraulic Fracturing Q. Li et al. 10.1089/ees.2020.0365
- Towards simplification of hydrologic modeling: identification of dominant processes S. Markstrom et al. 10.5194/hess-20-4655-2016
- The impact of lake and reservoir parameterization on global streamflow simulation Z. Zajac et al. 10.1016/j.jhydrol.2017.03.022
- Improvement of model evaluation by incorporating prediction and measurement uncertainty L. Chen et al. 10.5194/hess-22-4145-2018
- Evaluation of flood susceptibility mapping using logistic regression and GIS conditioning factors A. Al-Juaidi et al. 10.1007/s12517-018-4095-0
- Assessing climate change and adaptive capacity at local scale using observed and remotely sensed data S. Mpandeli et al. 10.1016/j.wace.2019.100240
- Toward improving drought monitoring using the remotely sensed soil moisture assimilation: A parallel particle filtering framework H. Yan et al. 10.1016/j.rse.2018.07.017
- Benchmarking of a Physically Based Hydrologic Model A. Newman et al. 10.1175/JHM-D-16-0284.1
- Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales G. Baroni et al. 10.5194/hess-21-2301-2017
- Regional Snow Parameters Estimation for Large‐Domain Hydrological Applications in the Western United States N. Sun et al. 10.1029/2018JD030140
- Recent Progress and Emerging Topics on Weather and Climate Extremes Since the Fifth Assessment Report of the Intergovernmental Panel on Climate Change Y. Chen et al. 10.1146/annurev-environ-102017-030052
- Performance Assessment of General Circulation Model in Simulating Daily Precipitation and Temperature Using Multiple Gridded Datasets N. Khan et al. 10.3390/w10121793
- HydroBlocks: a field-scale resolving land surface model for application over continental extents N. Chaney et al. 10.1002/hyp.10891
- What is the role of the model in socio-hydrology? Discussion of “Prediction in a socio-hydrological world” L. Melsen et al. 10.1080/02626667.2018.1499025
- Integrated sensitivity analysis of a macroscale hydrologic model in the north of the Iberian Peninsula P. Yeste et al. 10.1016/j.jhydrol.2020.125230
- Deriving global parameter estimates for the Noah land surface model using FLUXNET and machine learning N. Chaney et al. 10.1002/2016JD024821
- Identifying Key Water Resource Vulnerabilities in Data‐Scarce Transboundary River Basins C. Rougé et al. 10.1029/2017WR021489
- Representation of spatial and temporal variability in large-domain hydrological models: case study for a mesoscale pre-Alpine basin L. Melsen et al. 10.5194/hess-20-2207-2016
- Spatially distributed sensitivity of simulated global groundwater heads and flows to hydraulic conductivity, groundwater recharge, and surface water body parameterization R. Reinecke et al. 10.5194/hess-23-4561-2019
- Review article: Climate change impacts on dam safety J. Fluixá-Sanmartín et al. 10.5194/nhess-18-2471-2018
- Flood exposure for vertebrates in China's terrestrial priority areas for biodiversity conservation: Identifying internal refugia E. Ameca y Juárez & Z. Jiang 10.1016/j.biocon.2016.04.021
26 citations as recorded by crossref.
- Mapping (dis)agreement in hydrologic projections L. Melsen et al. 10.5194/hess-22-1775-2018
- Limitations of Water Resources Infrastructure for Reducing Community Vulnerabilities to Extremes and Uncertainty of Flood and Drought D. McMartin et al. 10.1007/s00267-018-1104-8
- POLARIS Soil Properties: 30‐m Probabilistic Maps of Soil Properties Over the Contiguous United States N. Chaney et al. 10.1029/2018WR022797
- Hydrological Drought Simulations: How Climate and Model Structure Control Parameter Sensitivity L. Melsen & B. Guse 10.1029/2019WR025230
- Comparison of single-site, multi-site and multi-variable SWAT calibration strategies A. Franco et al. 10.1080/02626667.2020.1810252
- Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al. 10.1016/j.envsoft.2016.09.012
- Global Sensitivity Analysis of a Reactive Transport Model for Mineral Scale Formation During Hydraulic Fracturing Q. Li et al. 10.1089/ees.2020.0365
- Towards simplification of hydrologic modeling: identification of dominant processes S. Markstrom et al. 10.5194/hess-20-4655-2016
- The impact of lake and reservoir parameterization on global streamflow simulation Z. Zajac et al. 10.1016/j.jhydrol.2017.03.022
- Improvement of model evaluation by incorporating prediction and measurement uncertainty L. Chen et al. 10.5194/hess-22-4145-2018
- Evaluation of flood susceptibility mapping using logistic regression and GIS conditioning factors A. Al-Juaidi et al. 10.1007/s12517-018-4095-0
- Assessing climate change and adaptive capacity at local scale using observed and remotely sensed data S. Mpandeli et al. 10.1016/j.wace.2019.100240
- Toward improving drought monitoring using the remotely sensed soil moisture assimilation: A parallel particle filtering framework H. Yan et al. 10.1016/j.rse.2018.07.017
- Benchmarking of a Physically Based Hydrologic Model A. Newman et al. 10.1175/JHM-D-16-0284.1
- Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales G. Baroni et al. 10.5194/hess-21-2301-2017
- Regional Snow Parameters Estimation for Large‐Domain Hydrological Applications in the Western United States N. Sun et al. 10.1029/2018JD030140
- Recent Progress and Emerging Topics on Weather and Climate Extremes Since the Fifth Assessment Report of the Intergovernmental Panel on Climate Change Y. Chen et al. 10.1146/annurev-environ-102017-030052
- Performance Assessment of General Circulation Model in Simulating Daily Precipitation and Temperature Using Multiple Gridded Datasets N. Khan et al. 10.3390/w10121793
- HydroBlocks: a field-scale resolving land surface model for application over continental extents N. Chaney et al. 10.1002/hyp.10891
- What is the role of the model in socio-hydrology? Discussion of “Prediction in a socio-hydrological world” L. Melsen et al. 10.1080/02626667.2018.1499025
- Integrated sensitivity analysis of a macroscale hydrologic model in the north of the Iberian Peninsula P. Yeste et al. 10.1016/j.jhydrol.2020.125230
- Deriving global parameter estimates for the Noah land surface model using FLUXNET and machine learning N. Chaney et al. 10.1002/2016JD024821
- Identifying Key Water Resource Vulnerabilities in Data‐Scarce Transboundary River Basins C. Rougé et al. 10.1029/2017WR021489
- Representation of spatial and temporal variability in large-domain hydrological models: case study for a mesoscale pre-Alpine basin L. Melsen et al. 10.5194/hess-20-2207-2016
- Spatially distributed sensitivity of simulated global groundwater heads and flows to hydraulic conductivity, groundwater recharge, and surface water body parameterization R. Reinecke et al. 10.5194/hess-23-4561-2019
- Review article: Climate change impacts on dam safety J. Fluixá-Sanmartín et al. 10.5194/nhess-18-2471-2018
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Latest update: 05 Mar 2021
Short summary
Land surface modeling is playing an increasing role in global monitoring and prediction of extreme hydrologic events. However, uncertainties in parameter identifiability limit the reliability of model predictions. This study makes use of petascale computing to perform a comprehensive evaluation of land surface modeling for global flood and drought monitoring and suggests paths forward to overcome the challenges posed by parameter uncertainty.
Land surface modeling is playing an increasing role in global monitoring and prediction of...
