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Pre-processed data for Davenport and Diffenbaugh 2021

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DataCite Commons2021-07-14 更新2024-07-28 收录
下载链接:
https://figshare.com/articles/dataset/Pre-processed_data_for_Davenport_and_Diffenbaugh_2021/14977440/1
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资源简介:
This dataset contains pre-processed data used in the paper "Using machine learning to analyze physical causes of climate change: a case study of U.S. Midwest extreme precipitation" by Davenport and Diffenbaugh (2021). <br><br>Included files: <br>- GHCN station data for Midwest region- daily 500-hPa geopotential height anomalies (with domain-average trend removed)- daily SLP anomalies- daily moisture flux- layerwise relevance propagation results<br><br>Code and other data supporting the analysis is available at https://github.com/fdavenport/GRL2021
提供机构:
figshare
创建时间:
2021-07-14
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