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The dataset contains some of the outputs from the global climate model experiments by MIROC5 on changing Siberian wildfire severities, the analyzed data, and the scripts for analyses, which were used in the following submitted paper. Note that this dataset also includes unused data for the paper: Yasunari, T. J., D. Narita, T. Takemura, S. Wakabayashi, and A. Takeshima, Comprehensive Impact of Changing Siberian Wildfire Severities on Air Quality, Climate, and Economy: MIROC5 Global Climate Model's Sensitivity Assessments, submitted. Please read the READ_ME files for detailed information in each directory (especially see the "about_figures/" directory first). Because of their large sizes, the data were separated into three zipped files.
Siberia, global model simulations, global climate model, PM2.5, global warming, GCM, air quality, mortality, wildfire, economic analysis
Siberia, global model simulations, global climate model, PM2.5, global warming, GCM, air quality, mortality, wildfire, economic analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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