Climate Change Data Portal
DOI | 10.1016/j.atmosres.2021.105878 |
Assimilating Fengyun-4A observations to improve WRF-Chem PM2.5 predictions in China | |
Hong J.; Mao F.; Gong W.; Gan Y.; Zang L.; Quan J.; Chen J. | |
发表日期 | 2022 |
ISSN | 0169-8095 |
卷号 | 265 |
英文摘要 | Fengyun-4A (FY-4A) is a new generation geostationary satellite that provides high temporal resolution atmospheric observations of China and the adjacent regions. This study proposed to assimilate FY-4A observations via a combined utilization of a 3D variational method and a random forest approach. The ground-level PM2.5 concentrations were estimated as an intermediate variable and subsequently assimilated based on the Gridpoint Statistical Interpolation (GSI) system. Four parallel experiments were conducted to verify the proposed method, including a control experiment and three data assimilation experiments that assimilated satellite observations and ground observations alone and simultaneously. Results showed that the proposed approach improved PM2.5 predictions for most sites, especially in the highly polluted Beijing-Tianjin-Hebei and Yangtze River Delta regions. Assimilating PM2.5 estimations from satellite showed an advantage over the assimilation of ground PM2.5 observations in places where local or upstream regional PM2.5 monitoring sites are sparse. Simultaneous assimilation of the PM2.5 from satellite and ground observations further improved the PM2.5 predictions accuracy in most places. © 2021 Elsevier B.V. |
英文关键词 | Data assimilation; Fengyun satellite; GSI; PM2.5; WRF-Chem |
来源期刊 | Atmospheric Research |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/236541 |
作者单位 | State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China; Electronic Information School, Wuhan University, Wuhan, China; Eco-Environmental Monitoring Centre of Hubei Province, Wuhan, China |
推荐引用方式 GB/T 7714 | Hong J.,Mao F.,Gong W.,et al. Assimilating Fengyun-4A observations to improve WRF-Chem PM2.5 predictions in China[J],2022,265. |
APA | Hong J..,Mao F..,Gong W..,Gan Y..,Zang L..,...&Chen J..(2022).Assimilating Fengyun-4A observations to improve WRF-Chem PM2.5 predictions in China.Atmospheric Research,265. |
MLA | Hong J.,et al."Assimilating Fengyun-4A observations to improve WRF-Chem PM2.5 predictions in China".Atmospheric Research 265(2022). |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Hong J.]的文章 |
[Mao F.]的文章 |
[Gong W.]的文章 |
百度学术 |
百度学术中相似的文章 |
[Hong J.]的文章 |
[Mao F.]的文章 |
[Gong W.]的文章 |
必应学术 |
必应学术中相似的文章 |
[Hong J.]的文章 |
[Mao F.]的文章 |
[Gong W.]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
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。