From ad-hoc modelling to strategic infrastructure: A manifesto for model management
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Joseph H. A. Guillaume | R. Willem Vervoort | Tuomas J. Lahtinen | Thorsten Arnold | J. Guillaume | R. Vervoort | T. Arnold | Joseph H.A. Guillaume | R. Willem Vervoort
[1] Henrik Madsen,et al. Data assimilation framework: Linking an open data assimilation library (OpenDA) to a widely adopted model interface (OpenMI) , 2014, Environ. Model. Softw..
[2] Soroosh Sorooshian,et al. Challenges of operational river forecasting , 2014 .
[3] Jens Christian Refsgaard,et al. Modelling guidelinesterminology and guiding principles , 2004 .
[4] M. B. Beck,et al. GRAND CHALLENGES OF THE FUTURE FOR ENVIRONMENTAL MODELING , 2008 .
[5] I. A. Chaikovsky,et al. Terminology for model credibility , 1979 .
[6] Henry Mintzberg,et al. Of strategies, deliberate and emergent , 1985, Strategic Management Journal.
[7] Gunnar Abrahamson,et al. Terminology for model credibility , 1980 .
[8] Robin Gregory,et al. Structured Decision Making: A Practical Guide to Environmental Management Choices , 2012 .
[9] Christopher J. Duffy,et al. Open science in practice: Learning integrated modeling of coupled surface‐subsurface flow processes from scratch , 2016 .
[10] Igor Linkov,et al. Model Uncertainty and Choices Made by Modelers: Lessons Learned from the International Atomic Energy Agency Model Intercomparisons † , 2003, Risk analysis : an official publication of the Society for Risk Analysis.
[11] Igor Linkov,et al. Multi-criteria decision analysis in environmental sciences: ten years of applications and trends. , 2011, The Science of the total environment.
[12] V. Ducrocq,et al. Hydrometeorological multi-model ensemble simulations of the 4 November 2011 flash flood event in Genoa, Italy, in the framework of the DRIHM Project , 2014 .
[13] Yu Zhang,et al. From concept to practice to policy: modeling coupled natural and human systems in lake catchments , 2018 .
[14] Vincent Marchau,et al. Decision Making under Deep Uncertainty: From Theory to Practice , 2019 .
[15] Jennifer Badham,et al. Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities , 2019, Environ. Model. Softw..
[16] D. C. Black,et al. Towards best practice implementation and application of models for analysis of water resources management scenarios , 2014, Environ. Model. Softw..
[17] Thomas Berger,et al. Quantifying the economic importance of irrigation water reuse in a Chilean watershed using an integrated agent‐based model , 2015 .
[18] Jeffrey J. McDonnell,et al. On the dialog between experimentalist and modeler in catchment hydrology: Use of soft data for multicriteria model calibration , 2002 .
[19] K. R. Douglas-Mankin,et al. Evaluating, interpreting, and communicating performance of hydrologic/water quality models considering intended use: A review and recommendations , 2014, Environ. Model. Softw..
[20] Andrew Kusiak,et al. End-to-End Cyberinfrastructure for Decision-Making Support in Watershed Management , 2013 .
[21] Suzanne A. Pierce,et al. Modelling with stakeholders e Next generation , 2015 .
[22] M. L. Kavvas,et al. Coupling HEC-HMS with Atmospheric Models for Prediction of Watershed Runoff , 2002 .
[23] Paul Davison,et al. Splicing recharge and groundwater flow models in the Environment Agency National Groundwater Modelling System , 2016, Special Publications.
[24] Mary C. Hill,et al. Integrated environmental modeling: A vision and roadmap for the future , 2013, Environ. Model. Softw..
[25] K. J. Seymour,et al. How to get your model results used: a guide to stakeholder engagement , 2012 .
[26] Claudia Pahl-Wostl,et al. Participative and Stakeholder-Based Policy Design, Evaluation and Modeling Processes , 2002 .
[27] Raimo P. Hämäläinen,et al. Portfolio decision analysis methods in environmental decision making , 2017, Environ. Model. Softw..
[28] Richard J. Williams,et al. A model selection protocol to support the use of models for water management , 2007 .
[29] Tuomas J. Lahtinen,et al. Why pay attention to paths in the practice of environmental modelling? , 2017, Environ. Model. Softw..
[30] L. Shawn Matott,et al. Evaluating uncertainty in integrated environmental models: A review of concepts and tools , 2009 .
[31] Jaap Schellekens,et al. The Delft-FEWS flow forecasting system , 2013, Environ. Model. Softw..
[32] Denis Havlik,et al. Chapter Seven Integrated Modelling Frameworks for Environmental Assessment and Decision Support , 2008 .
[33] Benjamin B. Mirus,et al. Assessing the detail needed to capture rainfall‐runoff dynamics with physics‐based hydrologic response simulation , 2011 .
[34] Suzanne A. Pierce,et al. Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance , 2016 .
[35] Praveen Kumar,et al. Typology of hydrologic predictability , 2011 .
[36] Joseph H. A. Guillaume,et al. A framework for characterising and evaluating the effectiveness of environmental modelling , 2019, Environ. Model. Softw..
[37] Christopher Hutton,et al. Most computational hydrology is not reproducible, so is it really science? , 2016, Water Resources Research.
[38] R. Grant. Toward a Knowledge-Based Theory of the Firm,” Strategic Management Journal (17), pp. , 1996 .
[39] Thorsten R. Arnold,et al. Procedural knowledge for integrated modelling: Towards the Modelling Playground , 2013, Environ. Model. Softw..
[40] François Bousquet,et al. Modelling with stakeholders , 2010, Environ. Model. Softw..
[41] Thorsten Arnold,et al. Modelling for reproducibility, transparency, and continuous learning: Revisiting Jakeman’s 10 steps , 2016 .
[42] Riyanti Djalante,et al. Adaptive governance and managing resilience to natural hazards , 2011 .
[43] Willem J. de Lange,et al. An operational, multi-scale, multi-model system for consensus-based, integrated water management and policy analysis: The Netherlands Hydrological Instrument , 2014, Environ. Model. Softw..
[44] Robert M. Argent,et al. A new approach to water quality modelling and environmental decision support systems , 2009, Environ. Model. Softw..
[45] Ralf Thorsten Arnold,et al. A screening method for making the source water event-based approach operational , 2015 .
[46] Jeffery S. Horsburgh,et al. A relational model for environmental and water resources data , 2008 .
[47] Anthony M. Castronova,et al. Modeling water resource systems using a service-oriented computing paradigm , 2011, Environ. Model. Softw..
[48] David J. Schwab,et al. The Operational Implementation of a Great Lakes Wave Forecasting System at NOAA/NCEP* , 2014 .
[49] Joseph H. A. Guillaume,et al. Realizing modelling outcomes: A synthesis of success factors and their use in a retrospective analysis of 15 Australian water resource projects , 2017, Environ. Model. Softw..
[50] Jens Christian Refsgaard,et al. Groundwater Modeling in Integrated Water Resources Management—Visions for 2020 , 2010, Ground water.
[51] David G. Tarboton,et al. An overview of current applications, challenges, and future trends in distributed process-based models in hydrology , 2016 .
[52] M. C. Jensen,et al. Specific and General Knowledge and Organizational Structure , 1995 .
[53] Enrique R. Vivoni,et al. Real-world hydrologic assessment of a fully-distributed hydrological model in a parallel computing environment , 2011 .
[54] R. Freeze,et al. Blueprint for a physically-based, digitally-simulated hydrologic response model , 1969 .
[55] Seong Jin Noh,et al. Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities , 2012 .
[56] Anthony J. Jakeman,et al. Ten iterative steps in development and evaluation of environmental models , 2006, Environ. Model. Softw..
[57] Simon Stisen,et al. Stakeholder driven update and improvement of a national water resources model , 2013, Environ. Model. Softw..
[58] M. Hare,et al. Forms of Participatory Modelling and its Potential for Widespread Adoption in the Water Sector , 2011 .
[59] Eelco van Beek,et al. Collaborative modelling or participatory modelling? A framework for water resources management , 2017, Environ. Model. Softw..
[60] M. Hipsey,et al. “Panta Rhei—Everything Flows”: Change in hydrology and society—The IAHS Scientific Decade 2013–2022 , 2013 .
[61] Joseph H. A. Guillaume,et al. Characterising performance of environmental models , 2013, Environ. Model. Softw..
[62] S. Esterby. American Society for Testing and Materials , 2006 .
[63] J. B. Gregersen,et al. OpenMI: Open modelling interface , 2007 .
[64] Joseph H. A. Guillaume,et al. Toward best practice framing of uncertainty in scientific publications: A review of Water Resources Research abstracts , 2017 .
[65] Raimo P. Hämäläinen,et al. Behavioural issues in environmental modelling - The missing perspective , 2015, Environmental Modelling & Software.
[66] John Doherty,et al. Approaches to Highly Parameterized Inversion: A Guide to Using PEST for Model-Parameter and Predictive-Uncertainty Analysis , 2014 .
[67] Andrea Emilio Rizzoli,et al. Modelling with knowledge: A review of emerging semantic approaches to environmental modelling , 2009, Environ. Model. Softw..
[68] Peter A. Vanrolleghem,et al. Uncertainty in the environmental modelling process - A framework and guidance , 2007, Environ. Model. Softw..
[69] Stefan Stieglitz,et al. Do Researchers Dream of Research Data Management? , 2018, HICSS.
[70] Mohamed M. Morsy,et al. Integrating scientific cyberinfrastructures to improve reproducibility in computational hydrology: Example for HydroShare and GeoTrust , 2018, Environ. Model. Softw..
[71] Raimo P. Hämäläinen,et al. On the importance of behavioral operational research: The case of understanding and communicating about dynamic systems , 2013, Eur. J. Oper. Res..
[72] M. Hare,et al. Exploring the Gap Between Water Managers and Researchers: Difficulties of Model-Based Tools to Support Practical Water Management , 2007 .
[73] Christopher J. Duffy,et al. Visualization workflows for level-12 HUC scales: Towards an expert system for watershed analysis in a distributed computing environment , 2016, Environ. Model. Softw..