Dilemmas in developing models for long-term drought risk management: The case of the National Water Model of the Netherlands. (September 2021)
- Record Type:
- Journal Article
- Title:
- Dilemmas in developing models for long-term drought risk management: The case of the National Water Model of the Netherlands. (September 2021)
- Main Title:
- Dilemmas in developing models for long-term drought risk management: The case of the National Water Model of the Netherlands
- Authors:
- Mens, Marjolein
Minnema, Bennie
Overmars, Koen
van den Hurk, Bart - Abstract:
- Abstract: Strategic decision-making on long-term drought risk management can be supported by integrated assessment models to explore uncertain future conditions and potential policy actions. Such models have to meet many – sometimes conflicting – requirements posed by policy-makers, model developers, and stakeholders. This paper discusses the case of the National Water Model (NWM) that is applied for national policy-making on drought risk management in the Netherlands. The case demonstrates that the chosen assembled model set-up (in which several existing models are combined) is cost-effective and increases stakeholder acceptance, but also leads to high model complexity and computation time. To be effective for policy-making, integrated assessment models need to produce relevant model outcomes that are accepted by stakeholders, within acceptable time and cost limits. For this, the model set-up must support simulations at different aggregation levels (allowing both detailed analysis and exploratory analysis of many scenario/strategy combinations) while maintaining internal consistency. Highlights: Decision-making for drought risk management requires Integrated Assessment Models. Integrated Assessment Models must meet many – sometimes conflicting – requirements. There is a clear trade-off between model complexity and timeliness. Effective models are those that allow simulations at different aggregation levels.
- Is Part Of:
- Environmental modelling & software. Volume 143(2021)
- Journal:
- Environmental modelling & software
- Issue:
- Volume 143(2021)
- Issue Display:
- Volume 143, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 143
- Issue:
- 2021
- Issue Sort Value:
- 2021-0143-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-09
- Subjects:
- National water model -- Large-scale integrated modelling -- National policy-making -- Regional stakeholder support -- Risk-based decision-making -- Drought risk management -- Dutch delta programme -- Climate change -- Model requirements -- Meta-modelling -- CPU-Time
Environmental monitoring -- Computer programs -- Periodicals
Ecology -- Computer simulation -- Periodicals
Digital computer simulation -- Periodicals
Computer software -- Periodicals
Environmental Monitoring -- Periodicals
Computer Simulation -- Periodicals
Environnement -- Surveillance -- Logiciels -- Périodiques
Écologie -- Simulation, Méthodes de -- Périodiques
Simulation par ordinateur -- Périodiques
Logiciels -- Périodiques
Computer software
Digital computer simulation
Ecology -- Computer simulation
Environmental monitoring -- Computer programs
Periodicals
Electronic journals
363.70015118 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13648152 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envsoft.2021.105100 ↗
- Languages:
- English
- ISSNs:
- 1364-8152
- Deposit Type:
- Legaldeposit
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