Articles | Volume 19, issue 7
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.
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.
Flood and drought hydrologic monitoring: the role of model parameter uncertainty
N. W. Chaney
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
J. D. Herman
School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA
P. M. Reed
School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA
E. F. Wood
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
Viewed
Total article views: 4,680 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Feb 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,189 | 2,332 | 159 | 4,680 | 163 | 187 |
- HTML: 2,189
- PDF: 2,332
- XML: 159
- Total: 4,680
- BibTeX: 163
- EndNote: 187
Total article views: 3,765 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Jul 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,742 | 1,884 | 139 | 3,765 | 130 | 157 |
- HTML: 1,742
- PDF: 1,884
- XML: 139
- Total: 3,765
- BibTeX: 130
- EndNote: 157
Total article views: 915 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Feb 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
447 | 448 | 20 | 915 | 33 | 30 |
- HTML: 447
- PDF: 448
- XML: 20
- Total: 915
- BibTeX: 33
- EndNote: 30
Cited
44 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
- Sequential surface and subsurface flow modeling in a tropical aquifer under different rainfall scenarios M. Jimenez et al. 10.1016/j.envsoft.2022.105328
- Quantitative Analysis of the Uncertainty of Drought Process Simulation Based on Atmospheric–Hydrological Coupling in Different Climate Zones H. Xu et al. 10.3390/w15183286
- Projection of Flash Droughts in the Headstream Area of Tarim River Basin Under Climate Change Through Bayesian Uncertainty Analysis X. Yu et al. 10.1029/2022JD037634
- 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
- Enable high-resolution, real-time ensemble simulation and data assimilation of flood inundation using distributed GPU parallelization J. Wei et al. 10.1016/j.jhydrol.2023.129277
- Leveraging catchment scale automated novel data collection infrastructure to advance urban hydrologic-hydraulic modeling A. Shrestha et al. 10.1016/j.envsoft.2024.106046
- 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
- Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient U. Sepúlveda et al. 10.5194/hess-26-3419-2022
- mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model T. Thurber et al. 10.21105/joss.03221
- Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India S. Naha et al. 10.5194/hess-25-6339-2021
- Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
- 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
- Large Ensemble Diagnostic Evaluation of Hydrologic Parameter Uncertainty in the Community Land Model Version 5 (CLM5) H. Yan et al. 10.1029/2022MS003312
- 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
- Observational Uncertainty for Global Drought‐Pluvial Volatility Y. Li et al. 10.1029/2022WR034263
- 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
- Floods and droughts research progress and its contributions toward sustainability M. Faiz et al. 10.1016/j.heliyon.2024.e32879
- Sensitivity of snow magnitude and duration to hydrology model parameters B. Singh et al. 10.1016/j.jhydrol.2024.132193
- 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
- Deriving global parameter estimates for the Noah land surface model using FLUXNET and machine learning N. Chaney et al. 10.1002/2016JD024821
- A computational methodology applied to optimize the performance of a river model under uncertainty conditions A. Gaudiani et al. 10.1007/s11227-022-04816-6
- Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set L. Santos et al. 10.1080/02626667.2022.2035388
- Evaluating Implementation Uncertainties and Defining Safe Operating Spaces for Deeply Uncertain Cooperative Multi‐City Water Supply Investment Pathways L. Lau et al. 10.1029/2023WR034841
- Climate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluation L. Melsen & B. Guse 10.5194/hess-25-1307-2021
- Generation of High-Resolution Gridded Runoff Product for the Republic of Korea Sub-Basins from Seasonal Merging of Global Reanalysis Datasets W. Sunwoo et al. 10.3390/w15213741
- 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
- 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
43 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
- Sequential surface and subsurface flow modeling in a tropical aquifer under different rainfall scenarios M. Jimenez et al. 10.1016/j.envsoft.2022.105328
- Quantitative Analysis of the Uncertainty of Drought Process Simulation Based on Atmospheric–Hydrological Coupling in Different Climate Zones H. Xu et al. 10.3390/w15183286
- Projection of Flash Droughts in the Headstream Area of Tarim River Basin Under Climate Change Through Bayesian Uncertainty Analysis X. Yu et al. 10.1029/2022JD037634
- 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
- Enable high-resolution, real-time ensemble simulation and data assimilation of flood inundation using distributed GPU parallelization J. Wei et al. 10.1016/j.jhydrol.2023.129277
- Leveraging catchment scale automated novel data collection infrastructure to advance urban hydrologic-hydraulic modeling A. Shrestha et al. 10.1016/j.envsoft.2024.106046
- 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
- Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient U. Sepúlveda et al. 10.5194/hess-26-3419-2022
- mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model T. Thurber et al. 10.21105/joss.03221
- Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India S. Naha et al. 10.5194/hess-25-6339-2021
- Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
- 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
- Large Ensemble Diagnostic Evaluation of Hydrologic Parameter Uncertainty in the Community Land Model Version 5 (CLM5) H. Yan et al. 10.1029/2022MS003312
- 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
- Observational Uncertainty for Global Drought‐Pluvial Volatility Y. Li et al. 10.1029/2022WR034263
- 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
- Floods and droughts research progress and its contributions toward sustainability M. Faiz et al. 10.1016/j.heliyon.2024.e32879
- Sensitivity of snow magnitude and duration to hydrology model parameters B. Singh et al. 10.1016/j.jhydrol.2024.132193
- 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
- Deriving global parameter estimates for the Noah land surface model using FLUXNET and machine learning N. Chaney et al. 10.1002/2016JD024821
- A computational methodology applied to optimize the performance of a river model under uncertainty conditions A. Gaudiani et al. 10.1007/s11227-022-04816-6
- Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set L. Santos et al. 10.1080/02626667.2022.2035388
- Evaluating Implementation Uncertainties and Defining Safe Operating Spaces for Deeply Uncertain Cooperative Multi‐City Water Supply Investment Pathways L. Lau et al. 10.1029/2023WR034841
- Climate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluation L. Melsen & B. Guse 10.5194/hess-25-1307-2021
- Generation of High-Resolution Gridded Runoff Product for the Republic of Korea Sub-Basins from Seasonal Merging of Global Reanalysis Datasets W. Sunwoo et al. 10.3390/w15213741
- 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
1 citations as recorded by crossref.
Saved (final revised paper)
Saved (final revised paper)
Saved (preprint)
Latest update: 15 Nov 2024
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...