Articles | Volume 17, issue 7
https://doi.org/10.5194/hess-17-2845-2013
© Author(s) 2013. 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-17-2845-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Jul 2013
Research article |
| 22 Jul 2013
Disinformative data in large-scale hydrological modelling
A. Kauffeldt
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
S. Halldin
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
A. Rodhe
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
C.-Y. Xu
Department of Geosciences, University of Oslo, Oslo, Norway
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
I. K. Westerberg
Department of Civil Engineering, University of Bristol, Bristol, UK
IVL Swedish Environmental Research Institute, Stockholm, Sweden
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Viewed
Total article views: 4,831 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,422 | 2,183 | 226 | 4,831 | 166 | 141 |
- HTML: 2,422
- PDF: 2,183
- XML: 226
- Total: 4,831
- BibTeX: 166
- EndNote: 141
Total article views: 3,863 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jul 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,951 | 1,724 | 188 | 3,863 | 140 | 126 |
- HTML: 1,951
- PDF: 1,724
- XML: 188
- Total: 3,863
- BibTeX: 140
- EndNote: 126
Total article views: 968 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 471 | 459 | 38 | 968 | 26 | 15 |
- HTML: 471
- PDF: 459
- XML: 38
- Total: 968
- BibTeX: 26
- EndNote: 15
Cited
74 citations as recorded by crossref.
- Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling H. Beck et al. 10.5194/hess-21-6201-2017
- Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale G. Papacharalampous et al. 10.1016/j.advwatres.2019.103470
- Control of climate and physiography on runoff response behavior through use of catchment classification and machine learning S. Du et al. 10.1016/j.scitotenv.2023.166422
- Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case I. Pechlivanidis & B. Arheimer 10.5194/hess-19-4559-2015
- Assessing watershed hydrological response to climate change based on signature indices A. Fatehifar et al. 10.2166/wcc.2021.293
- Accelerating advances in continental domain hydrologic modeling S. Archfield et al. 10.1002/2015WR017498
- On the consistency of scale among experiments, theory, and simulation J. McClure et al. 10.5194/hess-21-1063-2017
- Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface K. Beven et al. 10.1007/s11430-014-5003-4
- Diagnosing Credibility of a Large-Scale Conceptual Hydrological Model in Simulating Streamflow P. Paul et al. 10.1061/(ASCE)HE.1943-5584.0001766
- Hydrological Alteration Index as an Indicator of the Calibration Complexity of Water Quantity and Quality Modeling in the Context of Global Change R. Cakir et al. 10.3390/w12010115
- Towards observation-based gridded runoff estimates for Europe L. Gudmundsson & S. Seneviratne 10.5194/hess-19-2859-2015
- Global‐scale regionalization of hydrologic model parameters H. Beck et al. 10.1002/2015WR018247
- MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data H. Beck et al. 10.5194/hess-21-589-2017
- A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
- HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
- Falsification‐Oriented Signature‐Based Evaluation for Guiding the Development of Land Surface Models and the Enhancement of Observations H. Zheng et al. 10.1029/2020MS002132
- Imbalanced land surface water budgets in a numerical weather prediction system A. Kauffeldt et al. 10.1002/2015GL064230
- How to make advances in hydrological modelling K. Beven 10.2166/nh.2019.134
- Hydrological Climate Change Impact Assessment at Small and Large Scales: Key Messages from Recent Progress in Sweden J. Olsson et al. 10.3390/cli4030039
- Curating 62 Years of Walnut Gulch Experimental Watershed Data: Improving the Quality of Long-Term Rainfall and Runoff Datasets M. Meles et al. 10.3390/w14142198
- Diagnosis of insidious data disasters J. Lundquist et al. 10.1002/2014WR016585
- Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication K. Beven 10.1080/02626667.2015.1031761
- Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions A. Rajib et al. 10.1029/2019WR026561
- On the importance of discharge observation uncertainty when interpreting hydrological model performance J. Aerts et al. 10.5194/hess-28-5011-2024
- Uncertainties in predicting impacts of climate change on hydrology in basin scale: a review D. Jose & G. Dwarakish 10.1007/s12517-020-06071-6
- Global patterns and key drivers of stream nitrogen concentration: A machine learning approach R. Sheikholeslami & J. Hall 10.1016/j.scitotenv.2023.161623
- Global evaluation of runoff from 10 state-of-the-art hydrological models H. Beck et al. 10.5194/hess-21-2881-2017
- Assessment of the Value of Remotely Sensed Surface Water Extent Data for the Calibration of a Lumped Hydrological Model A. Meyer Oliveira et al. 10.1029/2023WR034875
- Quo vadis, hydrology? Z. Kundzewicz 10.1080/02626667.2018.1489597
- Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS H. Beck et al. 10.5194/hess-23-207-2019
- A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records S. Erfani et al. 10.1016/j.envsoft.2024.106136
- Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance A. Newman et al. 10.5194/hess-19-209-2015
- A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies Z. Yin et al. 10.5194/essd-16-1559-2024
- Understanding hydrologic variability across Europe through catchment classification A. Kuentz et al. 10.5194/hess-21-2863-2017
- From threat to opportunity: Hydrologic uncertainty regionalization across large domains S. Pokorny et al. 10.1016/j.ejrh.2024.101819
- On (in)validating environmental models. 2. Implementation of a Turing‐like test to modelling hydrological processes K. Beven et al. 10.1002/hyp.14703
- Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments H. Beck et al. 10.1175/JCLI-D-19-0332.1
- Fuzzy Postprocessing to Advance the Quality of Continental Seasonal Hydrological Forecasts for River Basin Management H. Macian-Sorribes et al. 10.1175/JHM-D-19-0266.1
- How the performance of hydrological models relates to credibility of projections under climate change V. Krysanova et al. 10.1080/02626667.2018.1446214
- On (in)validating environmental models. 1. Principles for formulating a Turing‐like Test for determining when a model is fit‐for purpose K. Beven & S. Lane 10.1002/hyp.14704
- Application of a newly developed large‐scale conceptual hydrological model in simulating streamflow for credibility testing in data scarce condition P. Paul et al. 10.1111/nrm.12283
- Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study X. Zheng et al. 10.5194/hess-29-627-2025
- Assessing global water mass transfers from continents to oceans over the period 1948–2016 D. Cáceres et al. 10.5194/hess-24-4831-2020
- Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. 10.1016/j.jhydrol.2023.129176
- DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. 10.1016/j.jhydrol.2023.129431
- Development of Machine Learning Flood Model Using Artificial Neural Network (ANN) at Var River M. Ahmad et al. 10.3390/liquids2030010
- Regional water balance modelling using flow-duration curves with observational uncertainties I. Westerberg et al. 10.5194/hess-18-2993-2014
- Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al. 10.1002/hyp.14481
- Can Continental Models Convey Useful Seasonal Hydrologic Information at the Catchment Scale? L. Crochemore et al. 10.1029/2019WR025700
- Debates—The future of hydrological sciences: A (common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph J. McDonnell & K. Beven 10.1002/2013WR015141
- Evaluation of large-scale precipitation data sets for water resources modelling in Central Asia M. Malsy et al. 10.1007/s12665-014-3107-y
- Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al. 10.5194/hess-24-535-2020
- Development of a 60-year high-resolution water body evaporation dataset in China P. Bai & X. Guo 10.1016/j.agrformet.2023.109428
- Uncertainty in hydrological signatures I. Westerberg & H. McMillan 10.5194/hess-19-3951-2015
- A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method W. Liu et al. 10.1016/j.jhydrol.2016.04.006
- Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent I. Pechlivanidis et al. 10.3390/w8050177
- A worldwide analysis of trends in water-balance evapotranspiration A. Ukkola & I. Prentice 10.5194/hess-17-4177-2013
- Regionalization of catchment hydrological model parameters for global water resources simulations W. Qi et al. 10.2166/nh.2022.118
- A short history of philosophies of hydrological model evaluation and hypothesis testing K. Beven 10.1002/wat2.1761
- Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain R. Lane et al. 10.5194/hess-23-4011-2019
- Hydrological data uncertainty and its implications H. McMillan et al. 10.1002/wat2.1319
- Global hydrological models: a review A. Sood & V. Smakhtin 10.1080/02626667.2014.950580
- Challenges of classifying and mapping perennial freshwater systems within highly variable climate zones: A case study in the Murray Darling Basin, Australia D. Verdon-Kidd et al. 10.1016/j.scitotenv.2023.167260
- Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments H. Beck et al. 10.1029/2019JD031485
- MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment H. Beck et al. 10.1175/BAMS-D-17-0138.1
- On the value of water quality data and informative flow states in karst modelling A. Hartmann et al. 10.5194/hess-21-5971-2017
- Satellite-Based Evapotranspiration in Hydrological Model Calibration L. Jiang et al. 10.3390/rs12030428
- Estimating virtual water content and yield of wheat using machine learning tools A. Muratoglu et al. 10.1016/j.jhydrol.2024.132526
- Effect of Observation Errors on the Timing of the Most Informative Isotope Samples for Event-Based Model Calibration L. Wang et al. 10.3390/hydrology5010004
- Observational uncertainties in hypothesis testing: investigating the hydrological functioning of a tropical catchment I. Westerberg & C. Birkel 10.1002/hyp.10533
- A regional parameter estimation scheme for a pan-European multi-basin model Y. Hundecha et al. 10.1016/j.ejrh.2016.04.002
- On doing hydrology with dragons: Realizing the value of perceptual models and knowledge accumulation T. Wagener et al. 10.1002/wat2.1550
- A worldwide analysis of trends in water-balance evapotranspiration A. Ukkola & I. Prentice 10.5194/hessd-10-5739-2013
73 citations as recorded by crossref.
- Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling H. Beck et al. 10.5194/hess-21-6201-2017
- Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale G. Papacharalampous et al. 10.1016/j.advwatres.2019.103470
- Control of climate and physiography on runoff response behavior through use of catchment classification and machine learning S. Du et al. 10.1016/j.scitotenv.2023.166422
- Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case I. Pechlivanidis & B. Arheimer 10.5194/hess-19-4559-2015
- Assessing watershed hydrological response to climate change based on signature indices A. Fatehifar et al. 10.2166/wcc.2021.293
- Accelerating advances in continental domain hydrologic modeling S. Archfield et al. 10.1002/2015WR017498
- On the consistency of scale among experiments, theory, and simulation J. McClure et al. 10.5194/hess-21-1063-2017
- Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface K. Beven et al. 10.1007/s11430-014-5003-4
- Diagnosing Credibility of a Large-Scale Conceptual Hydrological Model in Simulating Streamflow P. Paul et al. 10.1061/(ASCE)HE.1943-5584.0001766
- Hydrological Alteration Index as an Indicator of the Calibration Complexity of Water Quantity and Quality Modeling in the Context of Global Change R. Cakir et al. 10.3390/w12010115
- Towards observation-based gridded runoff estimates for Europe L. Gudmundsson & S. Seneviratne 10.5194/hess-19-2859-2015
- Global‐scale regionalization of hydrologic model parameters H. Beck et al. 10.1002/2015WR018247
- MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data H. Beck et al. 10.5194/hess-21-589-2017
- A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
- HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
- Falsification‐Oriented Signature‐Based Evaluation for Guiding the Development of Land Surface Models and the Enhancement of Observations H. Zheng et al. 10.1029/2020MS002132
- Imbalanced land surface water budgets in a numerical weather prediction system A. Kauffeldt et al. 10.1002/2015GL064230
- How to make advances in hydrological modelling K. Beven 10.2166/nh.2019.134
- Hydrological Climate Change Impact Assessment at Small and Large Scales: Key Messages from Recent Progress in Sweden J. Olsson et al. 10.3390/cli4030039
- Curating 62 Years of Walnut Gulch Experimental Watershed Data: Improving the Quality of Long-Term Rainfall and Runoff Datasets M. Meles et al. 10.3390/w14142198
- Diagnosis of insidious data disasters J. Lundquist et al. 10.1002/2014WR016585
- Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication K. Beven 10.1080/02626667.2015.1031761
- Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions A. Rajib et al. 10.1029/2019WR026561
- On the importance of discharge observation uncertainty when interpreting hydrological model performance J. Aerts et al. 10.5194/hess-28-5011-2024
- Uncertainties in predicting impacts of climate change on hydrology in basin scale: a review D. Jose & G. Dwarakish 10.1007/s12517-020-06071-6
- Global patterns and key drivers of stream nitrogen concentration: A machine learning approach R. Sheikholeslami & J. Hall 10.1016/j.scitotenv.2023.161623
- Global evaluation of runoff from 10 state-of-the-art hydrological models H. Beck et al. 10.5194/hess-21-2881-2017
- Assessment of the Value of Remotely Sensed Surface Water Extent Data for the Calibration of a Lumped Hydrological Model A. Meyer Oliveira et al. 10.1029/2023WR034875
- Quo vadis, hydrology? Z. Kundzewicz 10.1080/02626667.2018.1489597
- Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS H. Beck et al. 10.5194/hess-23-207-2019
- A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records S. Erfani et al. 10.1016/j.envsoft.2024.106136
- Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance A. Newman et al. 10.5194/hess-19-209-2015
- A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies Z. Yin et al. 10.5194/essd-16-1559-2024
- Understanding hydrologic variability across Europe through catchment classification A. Kuentz et al. 10.5194/hess-21-2863-2017
- From threat to opportunity: Hydrologic uncertainty regionalization across large domains S. Pokorny et al. 10.1016/j.ejrh.2024.101819
- On (in)validating environmental models. 2. Implementation of a Turing‐like test to modelling hydrological processes K. Beven et al. 10.1002/hyp.14703
- Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments H. Beck et al. 10.1175/JCLI-D-19-0332.1
- Fuzzy Postprocessing to Advance the Quality of Continental Seasonal Hydrological Forecasts for River Basin Management H. Macian-Sorribes et al. 10.1175/JHM-D-19-0266.1
- How the performance of hydrological models relates to credibility of projections under climate change V. Krysanova et al. 10.1080/02626667.2018.1446214
- On (in)validating environmental models. 1. Principles for formulating a Turing‐like Test for determining when a model is fit‐for purpose K. Beven & S. Lane 10.1002/hyp.14704
- Application of a newly developed large‐scale conceptual hydrological model in simulating streamflow for credibility testing in data scarce condition P. Paul et al. 10.1111/nrm.12283
- Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study X. Zheng et al. 10.5194/hess-29-627-2025
- Assessing global water mass transfers from continents to oceans over the period 1948–2016 D. Cáceres et al. 10.5194/hess-24-4831-2020
- Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. 10.1016/j.jhydrol.2023.129176
- DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. 10.1016/j.jhydrol.2023.129431
- Development of Machine Learning Flood Model Using Artificial Neural Network (ANN) at Var River M. Ahmad et al. 10.3390/liquids2030010
- Regional water balance modelling using flow-duration curves with observational uncertainties I. Westerberg et al. 10.5194/hess-18-2993-2014
- Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al. 10.1002/hyp.14481
- Can Continental Models Convey Useful Seasonal Hydrologic Information at the Catchment Scale? L. Crochemore et al. 10.1029/2019WR025700
- Debates—The future of hydrological sciences: A (common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph J. McDonnell & K. Beven 10.1002/2013WR015141
- Evaluation of large-scale precipitation data sets for water resources modelling in Central Asia M. Malsy et al. 10.1007/s12665-014-3107-y
- Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al. 10.5194/hess-24-535-2020
- Development of a 60-year high-resolution water body evaporation dataset in China P. Bai & X. Guo 10.1016/j.agrformet.2023.109428
- Uncertainty in hydrological signatures I. Westerberg & H. McMillan 10.5194/hess-19-3951-2015
- A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method W. Liu et al. 10.1016/j.jhydrol.2016.04.006
- Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent I. Pechlivanidis et al. 10.3390/w8050177
- A worldwide analysis of trends in water-balance evapotranspiration A. Ukkola & I. Prentice 10.5194/hess-17-4177-2013
- Regionalization of catchment hydrological model parameters for global water resources simulations W. Qi et al. 10.2166/nh.2022.118
- A short history of philosophies of hydrological model evaluation and hypothesis testing K. Beven 10.1002/wat2.1761
- Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain R. Lane et al. 10.5194/hess-23-4011-2019
- Hydrological data uncertainty and its implications H. McMillan et al. 10.1002/wat2.1319
- Global hydrological models: a review A. Sood & V. Smakhtin 10.1080/02626667.2014.950580
- Challenges of classifying and mapping perennial freshwater systems within highly variable climate zones: A case study in the Murray Darling Basin, Australia D. Verdon-Kidd et al. 10.1016/j.scitotenv.2023.167260
- Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments H. Beck et al. 10.1029/2019JD031485
- MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment H. Beck et al. 10.1175/BAMS-D-17-0138.1
- On the value of water quality data and informative flow states in karst modelling A. Hartmann et al. 10.5194/hess-21-5971-2017
- Satellite-Based Evapotranspiration in Hydrological Model Calibration L. Jiang et al. 10.3390/rs12030428
- Estimating virtual water content and yield of wheat using machine learning tools A. Muratoglu et al. 10.1016/j.jhydrol.2024.132526
- Effect of Observation Errors on the Timing of the Most Informative Isotope Samples for Event-Based Model Calibration L. Wang et al. 10.3390/hydrology5010004
- Observational uncertainties in hypothesis testing: investigating the hydrological functioning of a tropical catchment I. Westerberg & C. Birkel 10.1002/hyp.10533
- A regional parameter estimation scheme for a pan-European multi-basin model Y. Hundecha et al. 10.1016/j.ejrh.2016.04.002
- On doing hydrology with dragons: Realizing the value of perceptual models and knowledge accumulation T. Wagener et al. 10.1002/wat2.1550
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 22 Feb 2025
