气候变化领域集成服务门户(CCPortal): Three-dimensional variational assimilation of Lidar extinction profiles: Application to PM2.5 prediction in north China

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DOI	10.1016/j.atmosenv.2021.118828
	Three-dimensional variational assimilation of Lidar extinction profiles: Application to PM2.5 prediction in north China
	Gao L.; Liu Z.; Sun W.; Yan P.; Chen Y.; Bu Z.; Hu H.
发表日期	2022
ISSN	1352-2310
卷号	269
英文摘要	The capability of assimilating aerosol optical properties (AOP) using the three-dimensional variational (3DVAR) data assimilation (DA) approach is developed for the Weather Research and Forecasting (WRF) model's data assimilation (WRFDA) system by introducing WRF-Chem-based AOP observation operator and its tangent linear and adjoint. The new AOP DA capability of WRFDA- Chem is firstly applied to assimilate Lidar extinction coefficient profiles in Beijing City from 26 February to March 5, 2019. Cycling strategy of Lidar DA is important to allow a substantial positive impact on surface PM2.5 forecast over the whole evaluation domain (D02, 100 times area of Beijing city covered by the eight Lidar sites) for the entire 24-h forecast range. Compared to the control run without aerosol DA, the mean RMSE reduction and correlation coefficient increase of surface PM2.5 forecast can be up to 15% for the one-day partial cycling strategy. Lidar DA exhibits a clear benefit in improving the vertical distribution of aerosols over Beijing when comparing to surface PM2.5 DA. With the very limited coverage of Lidar data, however, adding Lidar data above surface PM2.5 data (covering the whole D02) does not show the further improvement of surface PM2.5 forecast over D02. © 2021 Elsevier Ltd
语种	英语
scopus关键词	Aerosols; Optical properties; Weather forecasting; Aerosol optical property; Beijing city; Data assimilation; Extinction profiles; LIDAR data; Modeling data; North China; PM 2.5; Variational assimilation; Weather research and forecasting models; Optical radar; data assimilation; Doppler lidar; extinction coefficient; lidar; particulate matter; three-dimensional modeling; vertical distribution; aerosol; article; China; controlled study; correlation coefficient; forecasting; human; particulate matter 2.5; prediction; weather; Beijing [China]; China
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248115
作者单位	Meteorological Observation Center, China Meteorological Administration, Beijing, 100081, China; National Center for Atmospheric Research, Boulder, CO 80301, United States; State Key Laboratory of Sever Weather, Chinese Academy of Meteorological Science, Beijing, 100081, China
推荐引用方式 GB/T 7714	Gao L.,Liu Z.,Sun W.,et al. Three-dimensional variational assimilation of Lidar extinction profiles: Application to PM2.5 prediction in north China[J],2022,269.
APA	Gao L..,Liu Z..,Sun W..,Yan P..,Chen Y..,...&Hu H..(2022).Three-dimensional variational assimilation of Lidar extinction profiles: Application to PM2.5 prediction in north China.ATMOSPHERIC ENVIRONMENT,269.
MLA	Gao L.,et al."Three-dimensional variational assimilation of Lidar extinction profiles: Application to PM2.5 prediction in north China".ATMOSPHERIC ENVIRONMENT 269(2022).