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This dataset contains predicted values (hourly, from April to October) of wet bulb globe temperature (WBGT) for 842 cities in Japan from 2030 to 2100. The predictions were made by applying a model constructed using eXtreme Gradient Boosting, a machine learning method, to learn the relationship between hourly WBGT and daily meteorological variables in the past, to the daily values of the future climate scenario data for Japan (NIES2020). Data for the past period (1980-2014) is also provided as a reference.
Description
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Creator
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Takahiro Oyama*1(
 orcid.org/0000-0002-1166-3606), Jun'ya Takakura*2 (orcid.org/0000-0002-6184-8422)*1 Center for Climate Change Adaptation, National Institute for Environmental Studies *2 Social Systems Division, National Institute for Environmental Studies |
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Release date
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2024/08/30
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Data provider
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Environmental Data Initiative
Email: info(at)edirepository.org |
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DOI
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File format
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Data volume
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88 GB
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Version
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ver 2(Last updated: 2024/10/09)
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Language
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English
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Data Set
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Parameters
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wet-bulb globe temperature
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Temporal coverage
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2030-2100, 1980-2014 (April to October)
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Spatial information
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842 cities in Japan (123.0068-145.7561°E, 24.0542-45.5206°N)
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Time resolution
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1 hour
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Keywords
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wet-bulb globe temperature, city scale, future projection, machine learning, hourly, Japan
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Update history
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Contributors
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Data Collector
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Noriko Ishizaki*1(
orcid.org/0000-0002-8331-1175)*1Center for Climate Change Adaptation, National Institute for Environmental Studies |
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Supervisor
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Yasuaki Hijioka*1(
orcid.org/0000-0003-2297-3981)*1Center for Climate Change Adaptation, National Institute for Environmental Studies |
Funding Reference
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Fund
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Climate Change Adaptation Research Program of National Institute for Environmental Studies Environment Research and Technology Development Fund (JPMEERF20231007, JPMEERF23S21120) of the Environmental Restoration and Conservation Agency provided by Ministry of the Environment of Japan
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Reference Information
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References
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This data set is derived from the following sources:
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Terms and Conditions of Use*
*By accessing or using the Service you agree to follow these Terms. If you disagree with any part of the Terms, you may not access the Service.
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License
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Citation format
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When this data set is referred to in publications, it should be cited in the following format.
Oyama, T. and J. Takakura. 2024. Future hourly wet-bulb globe temperature dataset for 842 cities in Japan ver 2. Environmental Data Initiative. https://doi.org/10.6073/pasta/a34e743f786d30a04aac4ae2e333eb3a (Accessed* YYYY-MM-DD)
* As the reference date, please indicate the date you downloaded the files. |
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Intellectual Rights
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The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.
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