Machine learning based parameter sensitivity of regional climate models—a case study of the WRF mode...
Machine learning based parameter sensitivity of regional climate models—a case study of the WRF model for heat extremes over Southeast Australia
About this item
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Author / Creator
Publisher
Bristol: IOP Publishing
Journal title
Language
English
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Publication information
Publisher
Bristol: IOP Publishing
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Scope and Contents
Contents
Heatwaves and bushfires cause substantial impacts on society and ecosystems across the globe. Accurate information of heat extremes is needed to support the development of actionable mitigation and adaptation strategies. Regional climate models are commonly used to better understand the dynamics of these events. These models have very large input p...
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Full title
Machine learning based parameter sensitivity of regional climate models—a case study of the WRF model for heat extremes over Southeast Australia
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TN_cdi_proquest_journals_2895777597
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2895777597
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ISSN
1748-9326
E-ISSN
1748-9326
DOI
10.1088/1748-9326/ad0eb0
