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Predicting environmental extremes in a period of climate change | |
项目编号 | DP160100738 |
Ian Young | |
项目主持机构 | The University of Melbourne |
开始日期 | 2016 |
结束日期 | 2019-12-31 |
英文摘要 | Predicting environmental extremes in a period of climate change. This project has the potential to reduce the uncertainty in the predictions of extreme winds and waves used to design and operate coastal and offshore facilities. Predictions are typically achieved by extrapolating recorded data to predict probable extremes. The uncertainties associated with this approach are very large. This project aims to develop a new approach called ' arge ensemble aggregate' analysis, which brings together data from alternative model predictions or alternative measurement locations to expand the effective data and avoid the necessity for statistical extrapolation. This approach may significantly reduce the uncertainty in estimating extreme values. This would reduce the cost of constructing coastal and offshore facilities and decrease the risk of catastrophic failure. |
学科分类 | 1106 - 水利科学与海洋工程;11 - 工程与技术 |
资助机构 | AU-ARC |
项目经费 | 452733 |
国家 | AU |
语种 | 英语 |
文献类型 | 项目 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/69796 |
推荐引用方式 GB/T 7714 | Ian Young.Predicting environmental extremes in a period of climate change.2016. |
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