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Learning optimal CNN architectures for Precipitation Downscaling with Differentiable Architecture Search

2025-08-21

Abstract excerpt

Climate change poses a significant threat to both ecosystems and human societies, partly due to the projected increase in extreme precipitation events (EPEs). Accurately identifying where such events are likely to occur more frequently is essential for minimizing societal and economic impacts. Although global climate models (GCMs) provide reliable long-term projections, their coarse spatial resolution limits their...

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Literature Corpus work
55c77a20-4215-5a9f-a29e-1579cca6a2fe
DOI
10.22541/au.175580225.56700263/v1
Open publication

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Learning optimal CNN architectures for Precipitation Downscaling with Differentiable Architecture SearchDOI 10.22541/au.175580225.56700263/v1
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