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Title: Supporting data for Baldwin et al 2019 "Temporally Compound Heat Waves and Global Warming: An Emerging Hazard"
Contributors: Baldwin, Jane W
Dessy, Jay Benjamin
Vecchi, Gabriel A
Oppenheimer, Michael
Jia, Liwei
Gudgel, Richard G
Paffendorf, Karen
Issue Date: 17-Feb-2019
Publisher: GFDL Data Portal
Abstract: This data is compiled to support a publication in the journal Earth's Future: Baldwin et al 2019 "Temporally Compound Heat Waves and Global Warming: An Emerging Hazard". The GCM GFDL CM2.5-FLOR was used to produce the raw climate model data. The model code for FLOR is freely available and can be downloaded at Code used to calculate the derived heat wave statistics data and produce figures in the paper is available at The heat wave statistics derived output for only one definition is provided (daily minimum temperature, 90th percentile threshold, temporal structure 3114) which is the definition used the most in the paper figures. Statistics for the other definitions can be created by running the HWSTATS code provided in the corresponding github folder, which includes python scripts which do the analysis and PBS job scheduling and submission scripts which show how to run the python scripts. For more information on this, please see the github readme.
Description: A full description of the structure of the dataset and how to reproduce the figures in the manuscript are given in the dataset README file. This dataset is too large to download directly from this item page. You can access and download the data via Globus at this link: (See for instructions on how to use Globus; sign-in is required).
Appears in Collections:Research Data Sets

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