Articles | Volume 24, issue 4
https://doi.org/10.5194/hess-24-1677-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-1677-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Apr 2020
Research article |
| 08 Apr 2020
| 08 Apr 2020
On the assimilation of environmental tracer observations for model-based decision support
GNS Science, Lower Hutt, New Zealand
Jeremy T. White
GNS Science, Lower Hutt, New Zealand
Catherine R. Moore
GNS Science, Lower Hutt, New Zealand
Pawel Rakowski
Hawke's Bay Regional Council, Napier, New Zealand
Kevin Hayley
Groundwater Solutions Ltd, Melbourne, Australia
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Cited
20 citations as recorded by crossref.
- Utilizing Environmental Tracers to Reduce Groundwater Flow and Transport Model Parameter Uncertainties N. Thiros et al. 10.1029/2020WR028235
- Quantifying subsurface parameter and transport uncertainty using surrogate modelling and environmental tracers N. Thiros et al. 10.1002/hyp.14743
- Robust Data Worth Analysis with Surrogate Models M. Gosses & T. Wöhling 10.1111/gwat.13098
- Early Uncertainty Quantification for an Improved Decision Support Modeling Workflow: A Streamflow Reliability and Water Quality Example B. Hemmings et al. 10.3389/feart.2020.565613
- Particle tracking as a vulnerability assessment tool for drinking water production A. Pryet et al. 10.3389/feart.2022.975156
- Space farming: Horticulture systems on spacecraft and outlook to planetary space exploration M. Nguyen et al. 10.1016/j.plaphy.2022.12.017
- Exploring the Adequacy of Steady-State-Only Calibration C. Moore & J. Doherty 10.3389/feart.2021.692671
- Operationalizing crop model data assimilation for improved on-farm situational awareness M. Knowling et al. 10.1016/j.agrformet.2023.109502
- Parameterization of a National Groundwater Model for New Zealand J. Griffiths et al. 10.3390/su151713280
- A model-independent tool for evolutionary constrained multi-objective optimization under uncertainty J. White et al. 10.1016/j.envsoft.2022.105316
- Model structure and ensemble size: Implications for predictions of groundwater age W. Kitlasten et al. 10.3389/feart.2022.972305
- Generalized water production relations through process-based modeling: A viticulture example M. Knowling et al. 10.1016/j.agwat.2023.108225
- Streambed water flux characterization through a Deep-Learning-Based approach considering data worth analysis: Numerical modeling and sandbox experiments L. Ju et al. 10.1016/j.jhydrol.2022.128111
- Estimation of groundwater age distributions from hydrochemistry: comparison of two metamodelling algorithms in the Heretaunga Plains aquifer system, New Zealand C. Tschritter et al. 10.5194/hess-27-4295-2023
- Improving history matching performance in a 3D field-scale case study by combining tracer and production data W. Cruz et al. 10.1016/j.geoen.2022.211365
- Parameter estimation and uncertainty analysis in hydrological modeling P. Herrera et al. 10.1002/wat2.1569
- Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses J. White et al. 10.1016/j.envsoft.2021.105022
- An Approach to Include Hydrogeologic Barriers With Unknown Geometric Properties in Groundwater Model Inversions S. Marshall et al. 10.1029/2021WR031458
- Sequential and batch data assimilation approaches to cope with groundwater model error: An empirical evaluation K. Markovich et al. 10.1016/j.envsoft.2022.105498
- Regional ecological security assessment in the environmental management N. Vetrova et al. 10.1051/e3sconf/202016407004
19 citations as recorded by crossref.
- Utilizing Environmental Tracers to Reduce Groundwater Flow and Transport Model Parameter Uncertainties N. Thiros et al. 10.1029/2020WR028235
- Quantifying subsurface parameter and transport uncertainty using surrogate modelling and environmental tracers N. Thiros et al. 10.1002/hyp.14743
- Robust Data Worth Analysis with Surrogate Models M. Gosses & T. Wöhling 10.1111/gwat.13098
- Early Uncertainty Quantification for an Improved Decision Support Modeling Workflow: A Streamflow Reliability and Water Quality Example B. Hemmings et al. 10.3389/feart.2020.565613
- Particle tracking as a vulnerability assessment tool for drinking water production A. Pryet et al. 10.3389/feart.2022.975156
- Space farming: Horticulture systems on spacecraft and outlook to planetary space exploration M. Nguyen et al. 10.1016/j.plaphy.2022.12.017
- Exploring the Adequacy of Steady-State-Only Calibration C. Moore & J. Doherty 10.3389/feart.2021.692671
- Operationalizing crop model data assimilation for improved on-farm situational awareness M. Knowling et al. 10.1016/j.agrformet.2023.109502
- Parameterization of a National Groundwater Model for New Zealand J. Griffiths et al. 10.3390/su151713280
- A model-independent tool for evolutionary constrained multi-objective optimization under uncertainty J. White et al. 10.1016/j.envsoft.2022.105316
- Model structure and ensemble size: Implications for predictions of groundwater age W. Kitlasten et al. 10.3389/feart.2022.972305
- Generalized water production relations through process-based modeling: A viticulture example M. Knowling et al. 10.1016/j.agwat.2023.108225
- Streambed water flux characterization through a Deep-Learning-Based approach considering data worth analysis: Numerical modeling and sandbox experiments L. Ju et al. 10.1016/j.jhydrol.2022.128111
- Estimation of groundwater age distributions from hydrochemistry: comparison of two metamodelling algorithms in the Heretaunga Plains aquifer system, New Zealand C. Tschritter et al. 10.5194/hess-27-4295-2023
- Improving history matching performance in a 3D field-scale case study by combining tracer and production data W. Cruz et al. 10.1016/j.geoen.2022.211365
- Parameter estimation and uncertainty analysis in hydrological modeling P. Herrera et al. 10.1002/wat2.1569
- Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses J. White et al. 10.1016/j.envsoft.2021.105022
- An Approach to Include Hydrogeologic Barriers With Unknown Geometric Properties in Groundwater Model Inversions S. Marshall et al. 10.1029/2021WR031458
- Sequential and batch data assimilation approaches to cope with groundwater model error: An empirical evaluation K. Markovich et al. 10.1016/j.envsoft.2022.105498
1 citations as recorded by crossref.
Latest update: 21 Nov 2024
Short summary
The incorporation of novel and diverse data sources into predictive models is expected to improve the reliability of model forecasts. This study critically and rigorously explores the extent to which this expectation holds given the imperfect nature of numerical models (and therefore their compromised ability to appropriately assimilate information-rich data). We show that environmental tracer observations may be of variable benefit in reducing forecast uncertainty and may induce forecast bias.
The incorporation of novel and diverse data sources into predictive models is expected to...
