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Science versus politics: truth and uncertainty in predictive modelling

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Science versus politics: truth and uncertainty in predictive modelling (English)

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author name string

R. F. Ivanović

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1

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J. E. Freer

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publication date

15 August 2009

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published in

Hydrological Processes

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volume

23

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issue

17

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page(s)

2549-2554

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cites work

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What is really undermining hydrologic science today?

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Comment on “Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology” by Pietro Mantovan and Ezio Todini

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So just why would a modeller choose to be incoherent?

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Regional flow-duration curves: reliability for ungauged basins

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Physics-based hydrologic-response simulation: Seeing through the fog of equifinality

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Developing a translational discourse to communicate uncertainty in flood risk between science and the practitioner

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Testing the robustness of management decisions to uncertainty: Everglades restoration scenarios

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On not undermining the science: coherence, validation and expertise. Discussion of Invited Commentary by Keith Beven Hydrological Processes, 20, 3141–3146 (2006)

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Uncertainties in annual riverine phosphorus load estimation: Impact of load estimation methodology, sampling frequency, baseflow index and catchment population density

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A double paradox in catchment hydrology and geochemistry

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Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology

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Scientists and the media: the struggle for legitimacy in climate change and conservation science

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A formal framework for scenario development in support of environmental decision-making

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Climate change. Stationarity is dead: whither water management?

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Ignorance is bliss: Or seven reasons not to use uncertainty analysis

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Confidence, uncertainty and decision-support relevance in climate predictions

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Catchment Classification and Hydrologic Similarity

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Concept of technical support to science–policy interfacing with respect to the implementation of the European water framework directive

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10.1002/HYP.7406

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(Q58422104)

Science versus politics: truth and uncertainty in predictive modelling

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