Global near real-time daily apparent temperature and heat wave dataset
文献类型：期刊论文
| 作者 | Yin, Cong1,2,3; Yang, Yaping2,3,4; Chen, Xiaona2,3,4; Yue, Xiafang2,3,4; Liu, Yangxiaoyue2,3,4; Xin, Ying1,2,3 |
| 刊名 | GEOSCIENCE DATA JOURNAL
 |
| 出版日期 | 2022-05-16 |
| 页码 | 15 |
| ISSN号 | 2049-6060 |
| DOI | 10.1002/gdj3.155 |
| 通讯作者 | Yang, Yaping(yangyp@igsnrr.ac.cn) |
| 英文摘要 | Temperature is the most concerned factor in the human-environment interactions. Apparent temperature accounting for other meteorological variables, such as humidity, wind speed and solar radiation, is the equivalent temperature, and it is a more accurate indicator to reflect human's environmental temperature perception. High-quality apparent temperature data are urgently needed for the further research on human-environment interactions. At the same time, as global heat waves continue to increase in frequency, duration and intensity, understanding the impact of heat waves on human health needs human perception-based heat wave data. Using ERA5 hourly data on single levels of 2 m temperature, wind speed, dewpoint temperature and solar radiation, this study developed a global apparent temperature and heat wave (GATHW) toolbox based on the Climate Data Store (CDS) online platform. This toolbox allows using three methods to calculate daily apparent temperature and heat wave at three spatial resolutions of 0.25 degrees, 0.5 degrees and 1 degrees respectively. It can realize online calculation, display and real-time download and is updated in near real-time. The global daily apparent temperature and annual heat wave dataset from 2006 to 2020 calculated by the toolbox can be obtained from . After evaluation, this dataset can well reflect the typical extreme temperatures and heat wave events, and is more accurate, with higher resolution and faster update frequency than similar data products, which can provide data support for the study of human-environmental interactions and extreme climate events. |
| WOS关键词 | CLIMATE-CHANGE ; MORTALITY ; SUMMER ; IMPACT ; HEATWAVES ; HEALTH ; TRENDS ; FUTURE |
| 资助项目 | Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK09] ; National Earth System Science Data Sharing Infrastructure[2005DKA32300] ; Capacity Building of Earth System Science Data Center for Chinese Academy of Sciences[WX145XQ07-11] ; Branch Center Project of Geography for Resources and Ecology of Knowledge Center of Chinese Engineering Sciences and Technology[CKCEST-2021-2-10] |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000796019500001 |
| 出版者 | WILEY |
| 资助机构 | Second Tibetan Plateau Scientific Expedition and Research Program ; National Earth System Science Data Sharing Infrastructure ; Capacity Building of Earth System Science Data Center for Chinese Academy of Sciences ; Branch Center Project of Geography for Resources and Ecology of Knowledge Center of Chinese Engineering Sciences and Technology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/176748]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Yaping |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Natl Earth Syst Sci Data Ctr, Beijing, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Cong,Yang, Yaping,Chen, Xiaona,et al. Global near real-time daily apparent temperature and heat wave dataset[J]. GEOSCIENCE DATA JOURNAL,2022:15. |
| APA | Yin, Cong,Yang, Yaping,Chen, Xiaona,Yue, Xiafang,Liu, Yangxiaoyue,&Xin, Ying.(2022).Global near real-time daily apparent temperature and heat wave dataset.GEOSCIENCE DATA JOURNAL,15. |
| MLA | Yin, Cong,et al."Global near real-time daily apparent temperature and heat wave dataset".GEOSCIENCE DATA JOURNAL (2022):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。