Climate Change Data Portal
DOI | 10.1016/j.accre.2022.11.003 |
An assessment method of annual climatic status in China using extreme climate indices: 2021 as an example | |
Guo, Zeng-Yuan; Chen, Li-Juan; Xie, Bing | |
发表日期 | 2022 |
ISSN | 1674-9278 |
起始页码 | 868 |
结束页码 | 874 |
卷号 | 13期号:6页码:7 |
英文摘要 | A proper assessment of annual climatic status (ACS) is conducive to rationally formulating disaster prevention and mitigation measures. The former definition of ACS lacks either information on extreme climate or an intuitive grade feature service to the public. The ACS defined in the National Standard of the People's Republic of China (GBACS) only considers the accumulated climate effects of each weighted 10-d temperature/precipitation anomaly in a year. Under global warming, the losses caused by extreme climate events often have a significant impact on the grades of ACS, but this impact cannot be reasonably reflected by GBACS. This study proposed the assessment of ACS using extreme climate indices (extreme climate-based ACS (ECACS)) and compared it with GBACS. The results indicated that GBACS and ECACS can be used to evaluate the ACS from different angles. The ECACS is an important supplement to the GBACS, especially considering the years with frequently occurring extreme climate events. The sum of GBACS and ECACS is a reasonable and comprehensive way to evaluate the ACS. The empirical orthogonal function (EOF) analysis indicated a uniform mode (EOF1) and a dipole mode (EOF2) in GBACS and ECACS in China. The interannual variation characteristics of ECACS in northern and southern China (EOF2 pattern) are consistent with real climate features, which is conducive to providing better and more detailed regional information in the ACS forecast service. The results have essential instructive and application value for ACS assessment and government decision making. |
英文关键词 | Extreme climate indices; Annual climatic status; Temperature; Precipitation |
学科领域 | Environmental Sciences; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000925594300001 |
来源期刊 | ADVANCES IN CLIMATE CHANGE RESEARCH |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/273983 |
作者单位 | China Meteorological Administration; Nanjing University of Information Science & Technology |
推荐引用方式 GB/T 7714 | Guo, Zeng-Yuan,Chen, Li-Juan,Xie, Bing. An assessment method of annual climatic status in China using extreme climate indices: 2021 as an example[J],2022,13(6):7. |
APA | Guo, Zeng-Yuan,Chen, Li-Juan,&Xie, Bing.(2022).An assessment method of annual climatic status in China using extreme climate indices: 2021 as an example.ADVANCES IN CLIMATE CHANGE RESEARCH,13(6),7. |
MLA | Guo, Zeng-Yuan,et al."An assessment method of annual climatic status in China using extreme climate indices: 2021 as an example".ADVANCES IN CLIMATE CHANGE RESEARCH 13.6(2022):7. |
条目包含的文件 | 条目无相关文件。 |
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。