DOI: 10.1016/j.atmosenv.2018.02.011
Scopus记录号: 2-s2.0-85042718399
论文题名: Assimilating AOD retrievals from GOCI and VIIRS to forecast surface PM2.5 episodes over Eastern China
作者: Pang J ; , Liu Z ; , Wang X ; , Bresch J ; , Ban J ; , Chen D ; , Kim J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 179 起始页码: 288
结束页码: 304
语种: 英语
英文关键词: AOD assimilation
; Eastern China
; GOCI
; GSI-3DVar
; PM2.5 forecast
; VIIRS
Scopus关键词: Air quality
; Errors
; Forecasting
; Geostationary satellites
; Infrared imaging
; Quality control
; River pollution
; Thermography (imaging)
; AOD assimilation
; Eastern China
; GOCI
; GSI-3DVar
; VIIRS
; Weather forecasting
; aerosol
; air monitoring
; air pollution
; Article
; China
; concentration (parameters)
; controlled study
; forecasting
; geography
; measurement accuracy
; measurement error
; meteorology
; optical depth
; particulate matter
; priority journal
; river
; surface property
; three dimensional imaging
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: In this study, Geostationary Ocean Color Imager (GOCI) AOD and Visible Infrared Imaging Radiometer Suite (VIIRS) AOD data were assimilated to forecast surface PM2.5 concentrations over Eastern China, by using the three–dimensional variational (3DAVR) data assimilation (DA) system, to compare DA impacts by assimilating AOD retrievals from these two types of satellites. Three experiments were conducted, including a CONTROL without the AOD assimilation, and GOCIDA and VIIRSDA with the assimilation of AOD retrievals from GOCI and VIIRS, respectively. By utilizing the Weather Research and Forecasting with Chemistry (WRF/Chem) model, 48-h forecasts were initialized at each 06 UTC from 19 November to 06 December 2013. These forecasts were evaluated with 248 ground-based measurements from the air quality monitoring network across 67 China cities. The results show that overall the CONTROL underestimated surface PM2.5 concentrations, especially over Jing–Jin–Ji (JJJ) region and Yangtze River Delta (YRD) region. Both the GOCIDA and VIIRSDA produced higher surface PM2.5 concentrations mainly over Eastern China, which fits well with the PM2.5 measurements at these eastern sites, with more than 8% error reductions (ER). Moreover, compared to CONTROL, GOCIDA reduced 14.0% and 6.4% error on JJJ region and YRD region, respectively, while VIIRSDA reduced respectively 2.0% and 13.4% error over the corresponding areas. During the heavy polluted period, VIIRSDA improved all sites within YRD region, and GOCIDA enhanced 84% sites. Meanwhile, GOCIDA improved 84% sites on JJJ region, while VIIRSDA did not affect that region. These geographic distinctions might result from spatial dissimilarity between GOCI AOD and VIIRS AOD at time intervals. Moreover, the larger increment produced by AOD DA under stable meteorological conditions could lead to a longer duration (e.g., 1–2 days, > 2 days) of AOD DA impacts. Even though with AOD DA, surface PM2.5 concentrations were still underestimated clearly over heavy polluted periods. And 3% sites performed worse, where low PM2.5 values were observed and CONTROL performed well. With this study, the results indicate that AOD DA can partially improve the accuracy of PM2.5 forecasts. And the obvious geographic differences on forecasts emphasize the potential and importance of combining AOD retrievals from GOCI and VIIRS into data assimilation. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82967
Appears in Collections: 气候变化事实与影响
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作者单位: School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, China; National Center for Atmospheric Research, Boulder, CO, United States; Institute for Environmental and Climate Research, Jinan University, Guangzhou, China; Department of Atmospheric Science, Yonsei University, Seoul, South Korea; Institute of Urban Meteorology, China Meteorological Administration, Beijing, China
Recommended Citation:
Pang J,, Liu Z,, Wang X,et al. Assimilating AOD retrievals from GOCI and VIIRS to forecast surface PM2.5 episodes over Eastern China[J]. Atmospheric Environment,2018-01-01,179