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Titlebook: Uncertainties in Environmental Modelling and Consequences for Policy Making; Philippe C. Baveye,Magdeline Laba,Jaroslav Mysiak Conference

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樓主: SPARK
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發(fā)表于 2025-3-23 13:32:35 | 只看該作者
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發(fā)表于 2025-3-24 07:41:58 | 只看該作者
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發(fā)表于 2025-3-24 12:27:15 | 只看該作者
Stochastic arithmetic and verification of mathematical modelsr and the round-off error) is minimal, a strategy, based on a converging sequence computation, has been proposed. Computation is carried out until the difference between two successive iterates has no exact significant digit. Then it is possible to determine which digits of the result obtained are i
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發(fā)表于 2025-3-24 16:24:56 | 只看該作者
Model calibration/parameter estimation techniques and conceptual model errortial model error may significantly degrade the usefulness of model calibration and the reliability of model predictions because parameter estimates are forced to compensate for the existing structural errors. Incorrect uncertainty analyses and estimated parameters that have little value in predictiv
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發(fā)表于 2025-3-24 20:19:44 | 只看該作者
Communicating uncertainty to policy makersrst-best approach is rooted in a process of dialogue, with attention to two-way communication and the relationship between scientists and policy-makers. The second-best approach is rooted in the goal not of giving all decision-makers all of the information they need, but rather in providing them wit
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發(fā)表于 2025-3-25 00:02:25 | 只看該作者
Communicating scientific uncertainty for decision making about CO2 storagepecific data may be costly. Experience from the past 15 years of research on CO. storage options and the associated science — policy interface suggests that uncertain models tend to be trusted too much by policy makers. In some cases, good intentions for environmental protection lead to a compartmen
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