Data

Supporting data for "Software library to quantify the value of forecasts for decision-making: Case study on sensitivity to damages" by Laugesen et al. (2025)

Adelaide University
Laugesen, Richard ; Thyer, Mark ; McInerney, David ; Kavetski, Dmitri
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25909/27246759.v2&rft.title=Supporting data for Software library to quantify the value of forecasts for decision-making: Case study on sensitivity to damages by Laugesen et al. (2025)&rft.identifier=10.25909/27246759.v2&rft.publisher=The University of Adelaide&rft.description=Results data and figures for the journal paper.Dataset includes compressed Python Pickle files containing Dictionaries of NumPy arrays and metadata for each figure. This contains input and output data. Also includes image files for each figure are also included in PNG, SVG, and PDF.Journal paper introduces RUVPY, a Python software library which implements the Relative Utility Value (RUV) method. This is available at https://github.com/richardlaugesen/ruvpy and can now be used by researchers and industry to quantify the value of forecast for decision making (pip install ruvpy).ReferencesLaugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2025), Software Library to Quantify the Value of Forecasts for Decision-Making: Case Study on Sensitivity to Damages. Environmental Modelling and Software. https://doi.org/10.1016/j.envsoft.2025.106697Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2023). Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts. Hydrology and Earth System Sciences, 27(4), 873-893. https://doi.org/10.5194/hess-27-873-2023Laugesen, R. (2025). RUVPY software library to quantify the value of forecasts for decision-making using RUV (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.15825583&rft.creator=Laugesen, Richard &rft.creator=Thyer, Mark &rft.creator=McInerney, David &rft.creator=Kavetski, Dmitri &rft.edition=2&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Decision making&rft_subject=Decision theory&rft_subject=Economic models and forecasting&rft_subject=Water resources engineering&rft_subject=Numerical computation and mathematical software&rft_subject=Modelling and simulation&rft_subject=Computational modelling and simulation in earth sciences&rft_subject=forecast value&rft_subject=Forecast verification&rft_subject=Decision science&rft_subject=Water resource management&rft_subject=Risk management&rft_subject=Relative utility value&rft.type=dataset&rft.language=English Access the data
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Results data and figures for the journal paper.

Dataset includes compressed Python Pickle files containing Dictionaries of NumPy arrays and metadata for each figure. This contains input and output data. Also includes image files for each figure are also included in PNG, SVG, and PDF.

Journal paper introduces RUVPY, a Python software library which implements the Relative Utility Value (RUV) method. This is available at https://github.com/richardlaugesen/ruvpy and can now be used by researchers and industry to quantify the value of forecast for decision making (pip install ruvpy).

References

Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2025), Software Library to Quantify the Value of Forecasts for Decision-Making: Case Study on Sensitivity to Damages. Environmental Modelling and Software. https://doi.org/10.1016/j.envsoft.2025.106697

Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2023). Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts. Hydrology and Earth System Sciences, 27(4), 873-893. https://doi.org/10.5194/hess-27-873-2023

Laugesen, R. (2025). RUVPY software library to quantify the value of forecasts for decision-making using RUV (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.15825583

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Subjects
Computational modelling and simulation in earth sciences | Decision making | Decision science | Decision theory | Economic models and forecasting | Forecast verification | Modelling and simulation | Numerical computation and mathematical software | Relative utility value | Risk management | Water resource management | Water resources engineering | forecast value |

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ACN 633 798 857