Citation: | Song Jiakun, Chen Yaodeng, Chen Dan. 2021. A study of meteorology-aerosol joint data assimilation on autumn PM2.5 concentration simulation. Acta Meteorologica Sinica, 79(3):477-491. DOI: 10.11676/qxxb2021.026 |
陈耀登,王元兵,闵锦忠等. 2014. 一种控制变量循环扰动和多参数化方案的混合同化方法. 大气科学学报,37(6):732-739
Chen Y D,Wang Y B,Min J Z,et al. 2014. A hybrid assimilation method with control variable cycle perturbation and multi-physical parameterization. Trans Atmos Sci,37(6):732-739 (in Chinese)
|
蒋伊蓉,朱蓉,朱克云等. 2015. 京津冀地区重污染天气过程的污染气象条件数值模拟研究. 环境科学学报,35(9):2681-2692
Jiang Y R,Zhu R,Zhu K Y,et al. 2015. Numerical simulation on the air pollution potential in the severe air pollution episodes in Beijing-Tianjin-Hebei Region. Acta Sci Circumst,35(9):2681-2692 (in Chinese)
|
靳璐滨,臧增亮,潘晓滨等. 2016. PM2.5和PM2.5~10资料同化及在南京青奥会期间的应用试验. 中国环境科学,36(2):331-341 DOI: 10.3969/j.issn.1000-6923.2016.02.003
Jin L B,Zang Z L,Pan X B,et al. 2016. Data assimilation and application experiments of PM2.5 and PM2.5~10 during Nanjing Youth Olympic Games. China Environ Sci,36(2):331-341 (in Chinese) DOI: 10.3969/j.issn.1000-6923.2016.02.003
|
刘琳,王玲玲,白永清等. 2017. 应用WRF/Chem模拟河南冬季大气颗粒物的区域输送特征. 环境科学学报,37(5):1843-1854
Liu L,Wang L L,Bai Y Q,et al. 2017. Simulation for the impacts of regional transport on winter particulate matter levels over Henan based on WRF/Chem model. Acta Sci Circumst,37(5):1843-1854 (in Chinese)
|
庞杨,韩志伟,朱彬等. 2013. 利用WRF-Chem模拟研究京津冀地区夏季大气污染物的分布和演变. 大气科学学报,36(6):674-682 DOI: 10.3969/j.issn.1674-7097.2013.06.004
Pang Y,Han Z W,Zhu B,et al. 2013. A model study on distribution and evolution of atmospheric pollutants over Beijing-Tianjin-Hebei region in summertime with WRF-Chem. Trans Atmos Sci,36(6):674-682 (in Chinese) DOI: 10.3969/j.issn.1674-7097.2013.06.004
|
王跃思, 姚利, 王莉莉等. 2014. 2013年元月我国中东部地区强霾污染成因分析. 中国科学: 地球科学, 44(1): 15-26.
Wang Y S, Yao L, Wang L L, et al. 2014. Mechanism for the formation of the January 2013 heavy haze pollution episode over central and eastern China. Sci China Earth Sci, 57(1): 14-25
|
王自发, 李杰, 王哲等. 2014. 2013年1月我国中东部强霾污染的数值模拟和防控对策. 中国科学: 地球科学, 44(1): 3-14.
Wang Z F, Li J, Wang Z, et al. 2014. Modeling study of regional severe hazes over Mid-Eastern China in January 2013 and its implications on pollution prevention and control. Sci China Earth Sci, 57(1): 3-13
|
熊春晖,张立凤,关吉平等. 2013. 集合-变分数据同化方法的发展与应用. 地球科学进展,28(6):648-656 DOI: 10.11867/j.issn.1001-8166.2013.06.0648
Xiong C H,Zhang L F,Guan J P,et al. 2013. Development and application of ensemble-variational data assimilation methods. Adv Earth Sci,28(6):648-656 (in Chinese) DOI: 10.11867/j.issn.1001-8166.2013.06.0648
|
薛纪善. 2009. 气象卫星资料同化的科学问题与前景. 气象学报,67(6):903-911
Xue J S. 2009. Scientific issues and perspective of assimilation of meteorological satellite data. Acta Meteor Sinica,67(6):903-911 (in Chinese)
|
张美根. 2005. 多尺度空气质量模式系统及其验证Ⅰ: 模式系统介绍与气象要素模拟. 大气科学,29(5):805-813 DOI: 10.3878/j.issn.1006-9895.2005.05.13
Zhang M G. 2005. A multi-scale air quality modeling system and its evaluation I:Introduction to the model system and simulation of meteorological parameters. Chinese J Atmos Sci,29(5):805-813 (in Chinese) DOI: 10.3878/j.issn.1006-9895.2005.05.13
|
张人禾, 李强, 张若楠. 2014. 2013年1月中国东部持续性强雾霾天气产生的气象条件分析. 中国科学: 地球科学, 44(1): 27-36.
Zhang R H, Li Q, Zhang R N. 2014. Meteorological conditions for the persistent severe fog and haze event over eastern China in January 2013. Sci China Earth Sci, 57(1): 26-35
|
张小曳. 2014. 中国不同区域大气气溶胶化学成分浓度、组成与来源特征. 气象学报,72(6):1108-1117
Zhang X Y. 2014. Characteristics of the chemical components of aerosol particles in the various regions over China. Acta Meteor Sinica,72(6):1108-1117 (in Chinese)
|
张艳,余琦,伏晴艳等. 2010. 长江三角洲区域输送对上海市空气质量影响的特征分析. 中国环境科学,30(7):914-923
Zhang Y,Yu Q,Fu Q Y,et al. 2010. Impact of the transport of atmospheric pollutants from the Yangtze River Delta on the air quality in Shanghai. China Environ Sci,30(7):914-923 (in Chinese)
|
朱江,唐晓,王自发等. 2018. 大气污染资料同化与应用综述. 大气科学,42(3):607-620
Zhu J,Tang X,Wang Z F,et al. 2018. A review of air quality data assimilation methods and their application. Chinese J Atmos Sci,42(3):607-620 (in Chinese)
|
Chen D,Liu Z Q,Fast J,et al. 2016. Simulations of sulfate-nitrate-ammonium (SNA)aerosols during the extreme haze events over northern China in October 2014. Atmos Chem Phys,16(16):10707-10724 DOI: 10.5194/acp-16-10707-2016
|
Chen D,Liu Z Q,Ban J M,et al. 2019. Retrospective analysis of 2015—2017 wintertime PM2.5 in China:Response to emission regulations and the role of meteorology. Atmos Chem Phys,19(11):7409-7427 DOI: 10.5194/acp-19-7409-2019
|
Crippa P,Sullivan R C,Thota A,et al. 2019. Sensitivity of simulated aerosol properties over eastern North America to WRF-Chem parameterizations. J Geophys Res Atmos,124(6):3365-3383 DOI: 10.1029/2018JD029900
|
Grell G A,Peckham S E,Schmitz R,et al. 2005. Fully coupled "online" chemistry within the WRF model. Atmos Environ,39(37):6957-6975 DOI: 10.1016/j.atmosenv.2005.04.027
|
Li Z,Zang Z,Li Q B,et al. 2013. A three-dimensional variational data assimilation system for multiple aerosol species with WRF/Chem and an application to PM2.5 prediction. Atmos Chem Phys,13(8):4265-4278 DOI: 10.5194/acp-13-4265-2013
|
Li Z Q,Guo J P,Ding A J,et al. 2017. Aerosol and boundary-layer interactions and impact on air quality. Natl Sci Rev,4(6):810-833 DOI: 10.1093/nsr/nwx117
|
Liu Z,Liu Q,Lin H,et al. 2011. Three-dimensional variational assimilation of MODIS aerosol optical depth:Implementation and application to a dust storm over East Asia. J Geophys Res Atmos,116:D23206
|
Ma C Q,Wang T J,Mizzi A P,et al. 2019. Multiconstituent data assimilation with WRF-Chem/DART:Potential for adjusting anthropogenic emissions and improving air quality forecasts over eastern China. J Geophys Res Atmos,124(13):7393-7412
|
Mulcahy J P,Walters D N,Bellouin N,et al. 2014. Impacts of increasing the aerosol complexity in the Met Office global numerical weather prediction model. Atmos Chem Phys,14(9):4749-4778 DOI: 10.5194/acp-14-4749-2014
|
Niu T,Gong S L,Zhu G F,et al. 2008. Data assimilation of dust aerosol observations for the CUACE/dust forecasting system. Atmos Chem Phys,8(13):3473-3482 DOI: 10.5194/acp-8-3473-2008
|
Parrish D F,Derber J C. 1992. The national meteorological center's spectral statistical-interpolation analysis system. Mon Wea Rev,120(8):1747-1763 DOI: 10.1175/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2
|
Rodwell M J,Jung T. 2008. Understanding the local and global impacts of model physics changes:An aerosol example. Quart J Roy Meteor Soc,134(635):1479-1497 DOI: 10.1002/qj.298
|
Wang H,Niu T. 2013. Sensitivity studies of aerosol data assimilation and direct radiative feedbacks in modeling dust aerosols. Atmos Environ,64:208-218 DOI: 10.1016/j.atmosenv.2012.09.066
|
Wang L T,Wei Z,Yang J,et al. 2014. The 2013 severe haze over southern Hebei,China:Model evaluation,source apportionment,and policy implications. Atmos Chem Phys,14(6):3151-3173 DOI: 10.5194/acp-14-3151-2014
|
Wang L T,Zhang Y,Wang K,et al. 2016. Application of weather research and forecasting model with chemistry (WRF/Chem) over northern China:Sensitivity study,comparative evaluation,and policy implications. Atmos Environ,124:337-350 DOI: 10.1016/j.atmosenv.2014.12.052
|
Yang Y R,Liu X G,Qu Y,et al. 2015. Characteristics and formation mechanism of continuous hazes in China:A case study during the autumn of 2014 in the North China Plain. Atmos Chem Phys,15(14):8165-8178 DOI: 10.5194/acp-15-8165-2015
|
Yin X M,Sun Z B,Miao S G,et al. 2019. Analysis of abrupt changes in the PM2.5 concentration in Beijing during the conversion period from the summer to winter half-year in 2006-2015. Atmos Environ,200:319-328 DOI: 10.1016/j.atmosenv.2018.11.057
|
Zang Z L,Hao Z L,Pan X B,et al. 2015. Background error statistics for aerosol variables from WRF/Chem predictions in Southern California. Asia-Pac J Atmos Sci,51(2):123-135 DOI: 10.1007/s13143-015-0063-8
|
Zang Z L,Hao Z L,Li Y,et al. 2016. Background error covariance with balance constraints for aerosol species and applications in variational data assimilation. Geosci Model Dev,9(8):2623-2638 DOI: 10.5194/gmd-9-2623-2016
|
Zhang L,Wang T,Lv M Y,et al. 2015. On the severe haze in Beijing during January 2013:Unraveling the effects of meteorological anomalies with WRF-Chem. Atmos Environ,104:11-21 DOI: 10.1016/j.atmosenv.2015.01.001
|
Zheng Z F,Xu G R,Li Q C,et al. 2019. Effect of precipitation on reducing atmospheric pollutant over Beijing. Atmos Pollut Res,10(5):1443-1453 DOI: 10.1016/j.apr.2019.04.001
|