Articles | Volume 22, issue 17
https://doi.org/10.5194/acp-22-11429-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-11429-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Sep 2022
Research article |
| 06 Sep 2022
| 06 Sep 2022
Toward targeted observations of the meteorological initial state for improving the PM2.5 forecast of a heavy haze event that occurred in the Beijing–Tianjin–Hebei region
Lichao Yang
LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, 100029, China
Wansuo Duan
CORRESPONDING AUTHOR
LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, 100029, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science and Technology, Nanjing, 210044, China
Zifa Wang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
Wenyi Yang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
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Qiaorong Xie, Sihui Su, Jing Chen, Yuqing Dai, Siyao Yue, Hang Su, Haijie Tong, Wanyu Zhao, Lujie Ren, Yisheng Xu, Dong Cao, Ying Li, Yele Sun, Zifa Wang, Cong-Qiang Liu, Kimitaka Kawamura, Guibin Jiang, Yafang Cheng, and Pingqing Fu
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Atmospheric aerosol particles have significant climate and health effects that depend on aerosol size, composition, and mixing state. A new global-regional nested aerosol model with an advanced particle microphysics module and a volatility basis set organic aerosol module was developed to simulate aerosol microphysical processes. Simulations strongly suggest the important role of anthropogenic organic species in particle formation over the areas influenced by anthropogenic sources.
Syuichi Itahashi, Baozhu Ge, Keiichi Sato, Zhe Wang, Junichi Kurokawa, Jiani Tan, Kan Huang, Joshua S. Fu, Xuemei Wang, Kazuyo Yamaji, Tatsuya Nagashima, Jie Li, Mizuo Kajino, Gregory R. Carmichael, and Zifa Wang
Atmos. Chem. Phys., 21, 8709–8734, https://doi.org/10.5194/acp-21-8709-2021, https://doi.org/10.5194/acp-21-8709-2021, 2021
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This study presents the detailed analysis of acid deposition over southeast Asia based on the Model Inter-Comparison Study for Asia (MICS-Asia) phase III. Simulated wet deposition is evaluated with observation data from the Acid Deposition Monitoring Network in East Asia (EANET). The difficulties of models to capture observations are related to the model performance on precipitation. The precipitation-adjusted approach was applied, and the distribution of wet deposition was successfully revised.
Weiqi Xu, Chun Chen, Yanmei Qiu, Ying Li, Zhiqiang Zhang, Eleni Karnezi, Spyros N. Pandis, Conghui Xie, Zhijie Li, Jiaxing Sun, Nan Ma, Wanyun Xu, Pingqing Fu, Zifa Wang, Jiang Zhu, Douglas R. Worsnop, Nga Lee Ng, and Yele Sun
Atmos. Chem. Phys., 21, 5463–5476, https://doi.org/10.5194/acp-21-5463-2021, https://doi.org/10.5194/acp-21-5463-2021, 2021
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Here aerosol volatility and viscosity at a rural site (Gucheng) and an urban site (Beijing) in the North China Plain (NCP) were investigated in summer and winter. Our results showed that organic aerosol (OA) in winter in the NCP is more volatile than that in summer due to enhanced primary emissions from coal combustion and biomass burning. We also found that OA existed mainly as a solid in winter in Beijing but as semisolids in Beijing in summer and Gucheng in winter.
Santosh Kumar Verma, Kimitaka Kawamura, Fei Yang, Pingqing Fu, Yugo Kanaya, and Zifa Wang
Atmos. Chem. Phys., 21, 4959–4978, https://doi.org/10.5194/acp-21-4959-2021, https://doi.org/10.5194/acp-21-4959-2021, 2021
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We studied aerosol samples collected in autumn 2007 with day and night intervals in a rural site of Mangshan, north of Beijing, for sugar compounds (SCs) that are abundant organic aerosol components and can influence the air quality and climate. We found higher concentrations of biomass burning (BB) products at nighttime than daytime, whereas pollen tracers and other SCs showed an opposite diurnal trend, because this site is meteorologically characterized by a mountain/valley breeze.
Tabish Umar Ansari, Oliver Wild, Edmund Ryan, Ying Chen, Jie Li, and Zifa Wang
Atmos. Chem. Phys., 21, 4471–4485, https://doi.org/10.5194/acp-21-4471-2021, https://doi.org/10.5194/acp-21-4471-2021, 2021
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We use novel modelling approaches to quantify the lingering effects of 1 d local and regional emission controls on subsequent days, the effects of longer continuous emission controls of individual sectors over different regions, and the effects of combined emission controls of multiple sectors and regions on air quality in Beijing under varying weather conditions to inform precise short-term emission control policies for avoiding heavy haze pollution in Beijing.
Lei Kong, Xiao Tang, Jiang Zhu, Zifa Wang, Jianjun Li, Huangjian Wu, Qizhong Wu, Huansheng Chen, Lili Zhu, Wei Wang, Bing Liu, Qian Wang, Duohong Chen, Yuepeng Pan, Tao Song, Fei Li, Haitao Zheng, Guanglin Jia, Miaomiao Lu, Lin Wu, and Gregory R. Carmichael
Earth Syst. Sci. Data, 13, 529–570, https://doi.org/10.5194/essd-13-529-2021, https://doi.org/10.5194/essd-13-529-2021, 2021
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China's air pollution has changed substantially since 2013. Here we have developed a 6-year-long high-resolution air quality reanalysis dataset over China from 2013 to 2018 to illustrate such changes and to provide a basic dataset for relevant studies. Surface fields of PM2.5, PM10, SO2, NO2, CO, and O3 concentrations are provided, and the evaluation results indicate that the reanalysis dataset has excellent performance in reproducing the magnitude and variation of air pollution in China.
Hajime Akimoto, Tatsuya Nagashima, Natsumi Kawano, Li Jie, Joshua S. Fu, and Zifa Wang
Atmos. Chem. Phys., 20, 15003–15014, https://doi.org/10.5194/acp-20-15003-2020, https://doi.org/10.5194/acp-20-15003-2020, 2020
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In order to perform proper model simulation of ozone near the ground in the coastal area of northeastern Asia, it has been found that it is very important to select appropriate dry deposition velocities of ozone on the oceanic water of specific area of the northwestern Pacific. Empirical measurement of the mixing ratios and dry deposition flux of ozone over the ocean in this area is highly recommended.
Cited articles
Beal, L. M., Vialard, J., Roxy, M. K., Li, J., Andres, M.,
Annamalai, H., Feng, M., Han, W., Hood, R., Lee, T., Lengaigne, M.,
Lumpkin, R., Masumoto, Y., McPhaden, M. J., Ravichandran, M.,
Shinoda, T., Sloyan, B. M., Strutton, P. G., Subramanian, A. C.,
Tozuka, T., Ummenhofer, C. C., Unnikrishnan, A. S., Wiggert, J., Yu,
L., Cheng, L., Desbruyères, D. G., and Parvathi, V.: A Road Map to IndOOS-2: Better Observations of the Rapidly
Warming Indian Ocean, B. Am. Meteorol. Soc., 101, E1891–E1913,
https://doi.org/10.1175/BAMS-D-19-0209.1, 2020.
Birgin, E. G., Martinez, J. M., and Raydan, M.: Algorithm 813: SPG –
software for convex-constrained optimization, ACM. Trans. Math. Softw., 27,
340–349, https://doi.org/10.1145/502800.502803, 2001.
Bei, N., Wu, J., Elser, M., Feng, T., Cao, J., El-Haddad, I., Li, X., Huang, R., Li, Z., Long, X., Xing, L., Zhao, S., Tie, X., Prévôt, A. S. H., and Li, G.: Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study, Atmos. Chem. Phys., 17, 14579–14591, https://doi.org/10.5194/acp-17-14579-2017, 2017.
Chen, Z., Chen, D., Zhao, C., Kwan, M., Cai, J., Zhuang, Y.,
Zhao, B., Wang, X., Chen, B., Yang, J., Li, R., He, B., Gao, B.,
Wang, K., and Xu, B.: Influence
of meteorological conditions on PM2.5 concentrations across China: A
review of methodology and mechanism, Environ. Int., 139, 105558,
https://doi.org/10.1016/j.envint.2020.105558, 2020.
China National Environmental Monitoring Centre (CNEMC): Air quality data in China, CNEMC [data set], http://www.cnemc.cn/en/, last access: 30 August 2022.
Da, L. L., Guo, W. H., Cui, B. L., and Liu, J. Y.: Ocean acoustic sensitive
region diagnose and adaptive observation, J. Appl. Acoust.,
38, 553–561, https://doi.org/10.11684/j.issn.1000-310X.2019.04.012, 2019.
Daescu, D. N. and Carmichael, G. R.: An Adjoint Sensitivity Method for the
Adaptive Location of the Observations in Air Quality Modeling, J. Atmos.
Sci., 60, 434–450, https://doi.org/10.1175/1520-0469(2003)060<0434:AASMFT>2.0.CO;2, 2003.
Duan, W. S. and Qin, X. H.: Application of nonlinear optimal perturbation
methods in the targeting observations and field campaigns of tropical
cyclones, Advances in Earth Science, 37, 165–176,
https://doi.org/10.11867/j.issn.1001-8166.2022.010, 2022 (in Chinese).
Duan, W. S. and Zhou, F. F.: Non-linear forcing singular vector of a
two-dimensional quasi-geostrophic model, Tellus, 65, 256,
https://doi.org/10.3402/tellusa.v65i0.18452, 2013.
Duan, W. S., Li, X. Q., and Tian, B.: Towards optimal observational array for
dealing with challenges of El Niño-Southern Oscillation predictions due
to diversities of El Niño, Clim. Dynam., 51, 3351–3368,
https://doi.org/10.1007/s00382-018-4082-x, 2018.
Dudhia, J.: Numerical study of convection observation during the winter
monsoon experiment using a mesoscale two-dimensional model, J. Atmos., Sci.,
46, 3077–3107, https://doi.org/10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2, 1989.
Ehrendorfer, M., Errico, R. M., and Raeder, K. D.: Singular-Vector
Perturbation Growth in a Primitive Equation Model with Moist Physics, J.
Atmos. Sci., 56, 1627–1648, https://doi.org/10.1175/1520-0469(1999)056<1627:SVPGIA>2.0.CO;2, 1999.
Feng, R., Duan, W., and Mu, M.: Estimating observing locations for advancing
beyond the winter predictability barrier of Indian Ocean Dipole event
predictions, Clim. Dynam., 48, 1173–1185,
https://doi.org/10.1007/s00382-016-3134-3, 2017.
Feng, T., Li, G., Cao, J., Bei, N., Shen, Z., Zhou, W., Liu, S., Zhang, T., Wang, Y., Huang, R.-J., Tie, X., and Molina, L. T.: Simulations of organic aerosol concentrations during springtime in the Guanzhong Basin, China, Atmos. Chem. Phys., 16, 10045–10061, https://doi.org/10.5194/acp-16-10045-2016, 2016.
Gilliam, R. C., C. Hogrefe, J. M., Godowitch, S., Napelenok, R. M., and
Rao, S. T.: Impact of inherent meteorology uncertainty on air quality model
predictions, J. Geophys. Res.-Atmos., 120, 12259–12280,
https://doi.org/10.1002/2015JD023674, 2015.
Godowitch, J. M., Gilliam, R. C., and Rao, S. T.: Diagnostic evaluation of
the chemical and transport processes in a regional photochemical air quality
modeling system, Atmos. Environ., 45, 3977–3987, https://doi.org/10.1016/j.atmosenv.2011.04.062, 2011.
Goris, N. and Elbern, H.: Singular vector decomposition for sensitivity analyses of tropospheric chemical scenarios, Atmos. Chem. Phys., 13, 5063–5087, https://doi.org/10.5194/acp-13-5063-2013, 2013.
Guan, W. J., Zheng, X. Y., Chung, K. F., and Zhong, N. S.: Impact of air
pollution on the burden of chronic respiratory diseases in China: time for
urgent action, Lancet 388, 1939–1951, https://doi.org/10.1016/S0140-6736(16)31597-5, 2016.
He, J., Gong, S., Yu, Y., Yu, L., Wu, L., Mao, H., Song, C.,
Zhao, S., Liu, H., Liu, X., and Li, R.: Air
pollution characteristics and their relation to meteorological conditions
during 2014–2015 in major Chinese cities, Environ. Pollut., 223, 484–496,
https://doi.org/10.1016/j.envpol.2017.01.050, 2017.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: Complete ERA5 from 1979: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service (C3S) Data Store (CDS), ECMWF [data set], https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5, (last access: 30 August 2022), 2017.
Hong, S. Y., Ying, N., and Dudhia, J.: A new vertical diffusion package with an
explicit treatment of entrainment processes, Mon. Weather Rev., 134,
2318–2341, https://doi.org/10.1175/MWR3199.1, 2006.
Hu, J. L., Ying, Q., and Chen, J. J.: Particulate air quality model predictions
using prognostic vs. diagnostic meteorology in central California, Atmos.
Environ., 44, 215–226, https://doi.org/10.1016/j.atmosenv.2009.10.011, 2010.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S.
A., Collins, W. D.: Radiative forcing by long-lived greenhouse gases:
calculations with the AER radiative transfer models, J. Geophys. Res.-Atmos., 113, D13103, https://doi.org/10.1029/2008JD009944, 2008.
Janjić, T., Bormann, N., Bocquet, M., Carton, J. A., Cohn, S. E., Dance,
S. L., Losa, S. N., Nichols, N. K., Potthast, R., Waller, J. A., and Weston, P.: On the
representation error in data assimilation, Q. J. Roy. Meteor. Soc., 144, 1257–1278, https://doi.org/10.1002/qj.3130, 2018.
Kong, Y. W., Sheng, L. F., Li, Y. P., Zhang, W. H., Zhou, Y., Wang, W. C., and
Zhao, Y. H.: Improving PM2.5 forecast during haze episodes over China
based on a coupled 4D-LETKF and WRF-Chem system, Atmos. Res., 249, 105366,
https://doi.org/10.1016/j.atmosres.2020.105366, 2021.
Kramer, W. and Dijkstra, H. A.: Optimal localized observations for advancing beyond the ENSO predictability barrier, Nonlin. Processes Geophys., 20, 221–230, https://doi.org/10.5194/npg-20-221-2013, 2013.
Kren, A. C., Cucurull, L., and Wang, H.: Addressing the sensitivity of forecast
impact to flight path design for targeted observations of extratropical
winter storms: A demonstration in an OSSE framework, Meteorol. Appl., 27,
e1942, https://doi.org/10.1002/met.1942, 2020.
Kumar, R., Delle Monache, L., Bresch, J., Saide, P. E.,
Tang, Y., Liu, Z., da Silva, A., Alessandrini, S., Pfister, G.,
Edwards, D., Lee, P., and Djalalova, I.: Toward improving Short-Term predictions of Fine Particulate
Matter over the United States Via Assimilation of Satellite Aerosol Optical
Depth Retrievals, J. Geophys. Res.-Atmos., 124, 2753–2773,
https://doi.org/10.1029/2018JD029009, 2019.
Li, M., Zhang, Q., Streets, D. G., He, K. B., Cheng, Y. F., Emmons, L. K., Huo, H., Kang, S. C., Lu, Z., Shao, M., Su, H., Yu, X., and Zhang, Y.: Mapping Asian anthropogenic emissions of non-methane volatile organic compounds to multiple chemical mechanisms, Atmos. Chem. Phys., 14, 5617–5638, https://doi.org/10.5194/acp-14-5617-2014, 2014.
Li, Y. Q., Yu, L., and Chen B. D.: An Assessment of Design of Observation
Network over the Tibetan Plateau Based on Observing System Simulation
Experiments (OSSE), J. Meteorol. Soc. Jpn., 93,
343–358, https://doi.org/10.2151/jmsj.2015-019, 2015.
Lim, C. and Thurston, G.: Air Pollution, Oxidative Stress, and Diabetes: A Life
Course Epidemiologic Perspective, Current Diabetes Rep., 19, 58,
https://doi.org/10.1007/s11892-019-1181-y, 2019.
Lin, Y. L., Farley, R. D., and Orville, H. D.: Bulk Parameterization of the Snow
Field in a Cloud Model, Clim. Appl. Meteorol., 22, 1065–1092, https://doi.org/10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2, 1983.
Liu, N., Duan, W. S., Wang, Z. F., Tang, X., and Zhou, F. F.: A Study on
Target Observation of a Heavy Air Pollution Event in Beijing, Clim.
Environ. Res., 23, 619–632,
https://doi.org/10.3878/j.issn.1006-9585.2018.18025, 2018.
Liu, Z. X., Liu, S. H., Hu, F., Li J., Ma, Y. J., and Liu, H. P.: A
comparison study of the simulation accuracy between WRF and MM5 in
simulating local atmospheric circulations over Greater Beijing, Science
China, 55, 418–427, https://doi.org/10.1007/s11430-011-4310-2, 2012.
Lorenz, E. N.: A study of the predictability of a 28-variable atmospheric
model, Tellus, 17, 321–333,
https://doi.org/10.1111/j.2153-3490.1965.tb01424.x, 1965.
Majumdar, S.: A Review of Targeted Observations, B. Am. Meteorol. Soc.,
97, 2287–2303, https://doi.org/10.1175/BAMS-D-14-00259.1, 2016.
Masutani, M., Schlatter, T., Errico, R., Stoffelen, A.,
Andersson, E., Lahoz, W., Woollen, J., Emmitt, G.,
Riishojgaard, L., and Lord, S.: Observing System Simulation Experiments, in: Data Assimilation, edited by: Lahoz, W.,
Khattatov, B., and Menard, R., Springer, Berlin,
Heidelberg, https://doi.org/10.1007/978-3-540-74703-1_24, 2010.
Miao, Y. C., Hu, X. M., Liu, S. H., Qian, T. T., Xue, M., Zheng, Y. J., and
Wang, S.: Seasonal variation of local atmospheric circulations and boundary
layer structure in the Beijing-Tianjin-Hebei region and implications for air
quality, J. Adv. Model. Earth Sy., 7, 1602–1626, 2015.
Mu, M. and Zhang, Z. Y.: Conditional nonlinear optimal perturbations of a
two-dimensional Quasigeostrophic model, J. Atmos. Sci., 63, 1587–1604,
https://doi.org/10.1175/JAS3703.1, 2006.
Mu, M., Duan, W. S., and Wang, B.: Conditional nonlinear optimal perturbation and its applications, Nonlin. Processes Geophys., 10, 493–501, https://doi.org/10.5194/npg-10-493-2003, 2003.
Mu, M., Zhou, F. F., and Wang, H. L.: A method to identify the sensitive
areas in targeting for tropical cyclone prediction: Conditional Nonlinear
optimal perturbation, Mon. Weather Rev., 137, 1623–1639,
https://doi.org/10.1175/2008MWR2640.1, 2009.
Mu, M., Duan, W., Wang, Q., and Zhang, R.: An extension of conditional nonlinear optimal perturbation approach and its applications, Nonlin. Processes Geophys., 17, 211–220, https://doi.org/10.5194/npg-17-211-2010, 2010.
Mu, M., Duan, W. S., Chen, D. K., and Yu, W. D.: Target observations for
improving initialization of high-impact ocean-atmospheric environmental
events forecasting, Natl. Sci. Rev., 2, 226–236,
https://doi.org/10.1093/nsr/nwv021, 2015.
NCEP: NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive, NCEP [data set], https://doi.org/10.5065/D65D8PWK, 2015.
Palmer, T. N., Gelaro, R., Barkmeijer, J., and Buizza, R.: Singular vectors,
metrics, and adaptive observations, J. Atmos. Sci., 55, 633–653,
https://doi.org/10.1175/1520-0469(1998)055<0633:SVMAAO>2.0.CO;2, 1998.
Peng, Z., Liu, Z., Chen, D., and Ban, J.: Improving PM2.5 forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter, Atmos. Chem. Phys., 17, 4837–4855, https://doi.org/10.5194/acp-17-4837-2017, 2017.
Qin X., Duan, W., and Mu, M.: Conditions under which CNOP sensitivity is valid
for tropical cyclone adaptive observations, Q. J. Roy. Meteor. Soc., 139,
1544–1554, https://doi.org/10.1002/qj.2109, 2013.
Qin, X., Duan, W. S., Pak, W. C., Chen, B. Y., and Kang-Ning, H.: Effects of dropsonde data in field campaigns on forecasts of tropical cyclones over the western North Pacific in 2020 and role of CNOP sensitivity, Adv. Atmos. Sci., in press, https://doi.org/10.1007/s00376-022-2136-9, 2022.
Romano, D., Bernetti, A., and De Lauretis, R.: Different methodologies to
quantify uncertainties of air emissions, Environ. Int., 30, 1099–1107,
https://doi.org/10.1016/j.envint.2004.06.006, 2004.
Snyder, C.: Summary of an informal workshop on adaptive observations and
FASTEX, B. Am. Meteorol. Soc., 77, 953–961,
https://doi.org/10.1175/1520-0477-77.5.953, 1996.
Sun, J., Gong, J. H., Zhou, J. P., Liu, J. T., and Liang, J. M.: Analysis of
PM2.5 pollution episodes in Beijing from 2014 to 2017: classification,
interannual variations and associations with meteorological features, Atmos.
Environ., 213, 384–394, https://doi.org/10.1016/j.atmosenv.2019.06.015,
2019.
Wang, H., Mu, M., and Huang, X.-Y.: Application of conditional non-linear
optimal perturbations to tropical cyclone adaptive observation using the
Weather Research Forecasting (WRF) model, Tellus A, 63, 939–957, https://doi.org/10.1111/j.1600-0870.2011.00536.x, 2011.
Wang, Z. F., Xie, F. Y., Wang, X. Q., An, J. L., and Zhu, J.: Development and
application of nested air quality prediction modeling system, Chin. J.
Atmos. Sci., 30, 778e790, https://doi.org/10.3878/j.issn.1006-9895.2006.05.07, 2006.
Wang, Z. F., Huang, M. Y., He, D., Xu, H. Y., and Zhou, L.: Studies on transport
of acid substance in China and East Asia part I: 3-D Eulerian transport
model for pollutants, Chin. J. Atmos. Sci., 21, 367e375, https://doi.org/10.3878/j.issn.1006-9895.1997.03.14, 1997.
Wu, C. C., Majumdar, S., Peng, M. S., and Aberson, S.: Intercomparison of
Targeted Observation Guidance for Tropical Cyclones in the Northwestern
Pacific, Mon. Weather Rev., 137, 2471–2492,
https://doi.org/10.1175/2009MWR2762.1, 2009.
Xu, T., Song, Y., Liu, M., Cai, X., Zhang, H., Guo, J., and Zhu, T.:
Temperature inversions in severe polluted days derived from radiosonde data
in North China from 2011 to 2016, Sci. Total Environ., 647, 1011–1020,
https://doi.org/10.1016/j.scitotenv.2018.08.088, 2019.
Yang, W., Chen, H., Wu, J., Wang, W., and Wang, W.: Characteristics of the
source apportionment of primary and secondary inorganic PM2.5 in the
pearl river delta region during 2015 by numerical modeling, Environ.
Pollut., 267, 115418, https://doi.org/10.1016/j.envpol.2020.115418, 2020.
Yu, Y., Mu, M., Duan, W., and Gong, T.: Contribution of the location and spatial
pattern of initial error to uncertainties in El Niño predictions, J.
Geophy. Res., 117, C06018, https://doi.org/10.1029/2011JC007758, 2012.
Zhang, F., Bei, N., Nielsen-Gammon, J. W., Li, G., Zhang, R., Stuart, A. L.,
and Aksoy, A.: Impacts of meteorological uncertainties on ozone pollution
predictability estimated through meteorological and photochemical ensemble
forecasts, J. Geophys. Res., 112, D04304, https://doi.org/10.1029/2006JD007429, 2007.
Zhang, H., Yuan, H. O., Liu, X. H., Yu, J. Y., and Jiao, Y. L.: Impact of
synoptic weather patterns on 24h-average PM2.5 concentrations in the
North China Plain during 2013–2017, Sci. Total Environ., 627, 200–210,
https://doi.org/10.1016/j.scitotenv.2018.01.248, 2018.
Zhang, K., Mu, M., Wang, Q., Yin, B., and Liu, S.: CNOP-based adaptive
observation network designed for improving upstream kuroshio transport
prediction, J. Geophy. Res.-Oceans, 124, 4350–4364,
https://doi.org/10.1029/2018JC014490, 2019.
Zhang, X., Fung, J. C. H., Lau, A. K. H., Zhang, S., and Huang, W.: Improved
modeling of spatiotemporal variations of fine particulate matter using a
three-dimensional variational data fusion method, J. Geophys. Res.-Atmos.,
126, e2020JD033599, https://doi.org/10.1029/2020JD033599, 2021.
Zhao, X., Zhang, X., Xu, X., Xu, J., Meng, W., and Pu, W.: Seasonal and diurnal
variations of ambient PM2.5, concentration in urban and rural
environments in Beijing, Atmos. Environ., 43, 2893–2900,
https://doi.org/10.1016/j.atmosenv.2009.03.009, 2009.
Short summary
The initial meteorological state has a great impact on PM2.5 forecasts. Assimilating additional observations is an effective way to improve the accuracy of the initial meteorological state. Here we used an advanced optimization approach to identify where we should preferentially place the meteorological observations associated with PM2.5 forecasts in the Beijing–Tianjin–Hebei region of China. We provide evidence that the target observation strategy is effective for improving PM2.5 forecasts.
The initial meteorological state has a great impact on PM2.5 forecasts. Assimilating additional...
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