正式发表论文（96篇）
1. Duan, JP*, Chen L, Li L, et al. 2021. Anthropogenic influence on the extreme cold surge of early Spring 2019 over the southeastern Tibetan Plateau. Bulletin of the American Meteorological Society, 102：S111-116.
2. Zheng, Y H, Duan JP*, and Ma ZG. 2021. South-north heterogeneity of the effect of volcanic eruptions on dryness/wetness in Central and Eastern China. International Journal of Climatology, 41(7): 3918-3933.
3. Jian DN, Ma Z. G., L. Chen, J. P. Duan, D. Mitchell, Z. Y. Zheng, M. X. Lv, and H. X. Zhang (2021), Effects of 1.5 degrees C and 2 degrees C of warming on regional reference evapotranspiration and drying: A case study of the Yellow River Basin, China, International Journal of Climatology, 41(2), 791-810.
4. Zhang X, Duan Y, Duan J, Jian D, Ma Z. 2021. A daily drought index based on evapotranspiration and its application in regional drought analyses. Science China Earth Sciences, 64, https://doi.org/10.1007/s11430-021-9822-y.
5. Lv, M., Ma, Z.*, and Yuan, N., 2021: Attributing terrestrial water storage variations across China to changes in groundwater and human water use. Journal of Hydrometeorology, 22, 3–21.
6. Li, M. X., P. L. Wu, D. M. H. Sexton, and Z. G. Ma, 2021: Potential shifts in climate zones under a future global warming scenario using soil moisture classification. Climate Dynamic, 56, 2071-2092.
7. Yang, Q.*, L. Chen, Y. Duan, D. Jian, and Z. Ma, 2021: Expansion of drylands in China with an additional half a degree warming. International Journal of Climatology, 41, 3953-3967.
8. Yang, Q.*, M. Li, Z. Zu, and Z. Ma, 2021: Has the stilling of the surface wind speed ended in China. Science China Earth Sciences, 64, 1036-1049.
9. Zhang X, Chen L*, Ma ZG, Gao YH， 2021: Assessment of surface exchange coefficients in the Noah-MP land surface model for different land-cover types in China. International Journal of Climatology, 41, 2638-2659.
10. Dai, D., Chen, L.*, Ma, Z. et al， 2021: Evaluation of the WRF physics ensemble using a multivariable integrated evaluation approach over the Haihe river basin in northern China. Climate Dynamic, 57, 557-575.
11. Jin S, Zheng Z*, Ning L, 2021: Separating variance in the runoff in Beijing's river system under climate change and human activities. Physics and Chemistry of the Earth, 123, 103144.
12. Omer A, Ma Z, Yuan X, Zheng Z and Saleem F, 2021, A hydrological perspective on drought risk-assessment in the yellow river basin under future anthropogenic activities. Journal of Environmental Management, 289, 112429, doi.org/10.1016/j.jenvman.2021.112429.
13. Yi L, Yong B, Chen J, Zheng Z and Li L, 2021, Impact of 4d-var data assimilation on performance of the coupled land–atmosphere model WRF-TOPX: a case study of a flood event in the wangjiaba watershed, China. Journal of Hydrometeorology, 22(3), 689-701.
14. Yang Yang, Lin Z*, Luo L, Zhang Y, Li Z, 2021: Inhomogeneous trends in the onset date of extreme hot days in China over the last five decades. Atmospheric and Oceanic Science Letters, 14, https://doi.org/10.1016/j.aosl.2021.100080.
15. Fan L*, Yan Z, Chen D, Li Z, 2021: Assessment of Central Asian heat extremes by statistical downscaling: Validation and future projection for 2015-2100. Advances in Climate Change Research, https://doi.org/10.1016/j.accre.2021.09.007.
16. Wang J, Li C*, Zwiers F, Zhang X, Li G, Jiang Z, Zhai P, Sun Y, Li Z, Yue Q, 2021: On the optimal design of field significance tests for changes in climate extremes. Geophysical Research Letters, 48, e2021GL092831. https://doi.org/10.1029/2021GL092831.
17. Qiu Y, Feng J*, Yan Z, Wang J, Li Z, 2021: High‑resolution dynamical downscaling for regional climate projection in Central Asia based on bias‑corrected multiple GCMs. Climate Dynamics,
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18. Wei W, Yan Z*, Li Z, 2021: Influence of Pacific Decadal Oscillation on global precipitation extremes. Environmental Research Letters, 16(4), DOI: 10.1088/1748-9326/abed7c.
19. Ye, Y., and C. Qian*, 2021: Conditional attribution of climate change and atmospheric circulation contributing to the record-breaking precipitation and temperature event of summer 2020 in southern China. Environ. Res. Lett., 16, 044058, https://doi.org/10.1088/1748-9326/abeeaf.
20. Zhao, Y., C. Qian*, W. Zhang, D. He, and Y. Qi, 2021: Extreme temperature indices in Eurasia in a CMIP6 multi-model ensemble: Evaluation and projection. International Journal of Climatology, 41, 5368–5385, https://doi.org/10.1002/joc.7134.
21. Duan M S, Xia J J*, Yan Zhongwei, Han L, Zhang L J, Xia H M, Lou X, Yu S, Yuan Z, 2021: Radar reflectivity of convective storms reconstruction based on deep learning and Himawari-8 observations. Remote Sensing, 13, 3330, doi: 10.3390/rs13163330.
22. Gao L H, Zheng Y, Wang Y Q*, Xia J J, Chen X L, Li B, Luo M, Guo Y C, 2021: Reconstruction of missing data in weather radar image sequences using deep neuron networks. Applied Sciences, 11(4) 1491, https://doi.org/10.3390/app11041491.
23. Kong W J, Li H C, Yu C, Xia J J, Kang Y Y, Zhang P W, 2021: A deep spatio-temporal forecasting model for multisite weather prediction post-processing. Communications in Computational Physics, doi: 10.4208/cicp.OA-2020-0158.
24. Liu D P, Zheng D X, Xu Y Y, Chen Y F, Wang H S, Wang K, Liao X L, Chen C X, Xia J J, Jin S F, 2021: Changes in the stoichiometry of castanopsis fargesii along an elevation gradient in a Chinese subtropical forest. Peer J, e11553.
25. 涂锴. 中国极端高温热浪灾害的强度和频率[G]//郭华东. 地球大数据支撑可持续发展目标报告（2020）中国篇. 北京: 科学出版社, 2021:180-184.
26. Chen X, Luo D*, Wu Y, Dunn-Sigouin E, Lu J, 2021: Nonlinear Response of Atmospheric Blocking to Early Winter Barents-Kara Seas Warming: An Idealized Model Study. Journal of Climate, 34, 2367-2383.
27. Chen Y, Luo D*, Zhong L, 2021: North Atlantic multidecadal footprint of the recent winter warm Arctic-cold Siberia pattern. Climate Dynamics, 57, 121-139.
28. Luo B, Luo D*, Dai A, Simmonds I, Wu L, 2021: A Connection of Winter Eurasian Cold Anomaly to the Modulation of Ural Blocking by ENSO. Geophysical Research Letters, 48.
29. Luo D*, Zhang W, 2021: A Nonlinear Multiscale Theory of Atmospheric Blocking: Structure and Evolution of Blocking Linked to Meridional and Vertical Structures of Storm Tracks. Journal of the Atmospheric Sciences, 78, 3153-3180.
30. Zhong L, Hua L, Yao Y, Feng J, Zhao T, 2021: Moisture transport to a typical transitional climate zone in North China forced by atmospheric and oceanic internal variability under the background of global warming. International Journal Of Climatology, 41, 2962-2982.
31. Zhong L, Hua L, Yao Y, Feng J, 2021: Interdecadal aridity variations in Central Asia during 1950-2016 regulated by oceanic conditions under the background of global warming. Climate Dynamics, 56, 3665-3686.
32. Yang M, Luo D*, Li C, Yao Y, Li X, Chen X, 2021: Influence of Atmospheric Blocking on Storm Track Activity Over the North Pacific During Boreal Winter. Geophysical Research Letters, 48.
33. Yang M, Luo D*, Shi W, Yao Y, Li X, Chen X, 2021: Contrasting interannual impacts of European and Greenland blockings on the winter North Atlantic storm track. Environmental Research Letters, 16.
34. Yang M, Luo D*, Li C, Li X, Yao Y, Zhao J, Chen X, 2021: Inconsistent variations between the northern and southern North Pacific storm track. Geophysical Research Letters, 48.
35. Chen Y, Luo D*, Zhong L, Yao Y, 2021: Effects of Barents-Kara Seas ice and North Atlantic tripole patterns on Siberian cold anomalies. Weather and Climate Extremes, 34.
36. Dai G, Mu M*, Li C, Han Z, Wang L, 2021: Evaluation of the forecast performance for extreme cold events in East Asia with subseasonal-to-seasonal data sets from ECMWF. Journal of Geophysical Research: Atmospheres, 126, 2020JD033860.
37. 李双林*，韩哲，刘娜，等. 2016 年南极海冰破纪录减少及其成因的研究综述[J]. 海洋学报，2021，43(7)：1–10，doi:10.12284/hyxb2021119.
38. Liu J*, Li J, Yao F., 2021: Source-receptor relationship of transboundary particulate matter pollution between China, South Korea and Japan: Approaches, current understanding and limitations, Critical Reviews in Environmental Science and Technology, DOI: 10.1080/10643389.2021.1964308.
39. Zhang L, Gong S*, Zhao T*, Zhou C, Wang Y, Li J, Ji D., He J, Liu H, Gui K, Guo X, Gao J, Shan Y., Wang H., Wang Y., Che H., and Zhang X., 2021: Development of WRF/CUACE v1.0 model and its preliminary application in simulating air quality in China, Geoscientific Model Development, 14, 703–718.
40. Li J, Han Z*, Sun Y, Li J, Liang L, 2021: The chemical formation pathways of secondary organic aerosols in the Beijing-Tianjin-Hebei region in wintertime. Atmospheric Environment, 244, 117996.
41. Xu F, Lin H, Fu T*, Sulprizio M, Zhuang J, Jacob D, Tian H, Ma Y, Zhang L, Wang X, Chen Q, Han Z, 2021: online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry-meteorology interactions. Geoscientific Model Development, 14, 3741–3768.
42. Wu Y*, Xia, Y, Zhou C, Tian P, Tao J, Huang R, Liu D, Wang X, Xia X, Han Z, Zhang R, 2021: Effect of source variation on the size and mixing state of black carbon aerosol in urban Beijing from 2013 to 2019_implication on light absorption. Environmental Pollution, 270,116089.
43. Li J, Wu Y*, Ren L, Wang W, Tao J, Gao Y, Li G, Yang X, Han Z, Zhang R, 2021: Variation in PM2.5 sources in central North China Plain during 2017–2019: Response to mitigation strategies. Journal of Environmental Management, 288, 112370.
44. Cao Fuqiang, Li Dan, Zhuguo Ma, Tao Gao. 2021: The impact of land use and land cover change on regional climate over East Asia during 1980-2010 using a coupled model. Theoretical and Applied Climatology, https://doi.org/10.1007/s00704-021-03629-6
45. Cao Fuqiang, Tao Gao, Li Dan, Fengxia Zhao, Xiang Gong, Xinyu Zhang, Xiaoyu Long, Junjie Zhan. 2021: Contributions of natural climate variability on the trends of seasonal precipitation extremes over China. Int J Climatol.,41,5226–5242.
46. Deng Huiping, Li Dan, Yan Xiao, Qian Wang. 2021: Testing the effects of incorporating TOPMODEL into the SSiB4/TRIFFID model and simulation of the response of vegetation dynamics and surface water cycle to climate changes in a subalpine basin of southwestern China. Ecohydrology, DOI: 10.1002/eco.2338.
47. Gao Tao, Fuqiang Cao, Li Dan, Ming Li, Xiang Gong, and Junjie Zhan. 2021: The precipitation variability of wet and dry season at the interannual and interdecadal scales over eastern China (1901–2016): The impacts of the Pacific Ocean. Hydrol. Earth Syst. Sci., 25, 1467–1481.
48. Ke Zongjian, Jiang Xingwen, Feng Jinming, Wang Zunya, 2021: Interdecadal Changes in the Impact of the Philippine Sea Anticyclone on Boreal Winter Precipitation in Southwestern China. J. Hydrometeorology, 22 (6): 1525-1533, Doi: 10.1175/JHM-D-20-0281.1.
49. Li Yueyue, Li DAN, Jing PENG, Junbang WANG, Fuqiang YANG, Dongdong GAO, Xiujing YANG, and Qiang YU. 2021. Response of Growing Season Gross Primary Production to El Niño in Different Phases of the Pacific Decadal Oscillation over Eastern China based on Bayesian Model Averaging. Advances in Atmospheric Sciences, 38(9), 1581−1596.
50. Lv, M., Yang, Z.-L., Xu, Z., Dan, L., Lv, M., & Zheng, H. (2021). A soil moisture-dependent model to simulate water table depth and proportions of surface and subsurface runoff and its validation at the basin scale. Journal of Geophysical Research: Atmospheres, 126, e2020JD033661. https://doi.org/10.1029/2020JD033661.
51. Peng, J., Dan, L., Ying, K., Yang, S., Tang, X., & Yang, F. (2021). China's interannual variability of net primary production is dominated by the Central China region. Journal of Geophysical Research: Atmospheres, 126, e2020JD033362. https://doi.org/10.1029/2020JD033362
52. Peng, J., Dan, L., Yang, F., Tang, X., & Wang, D. (2021). Global and regional estimation of carbon uptake using CMIP6 ESM compared with TRENDY ensembles at the centennial scale. Journal of Geophysical Research: Atmospheres, 126, e2021JD035135. https://doi.org/10.1029/2021JD035135
53. Qiu Yuan, Feng Jinming*, Wang Jun, Xue Yongkang, Xu Zhongfeng, 2021: Memory of land surface and subsurface temperature (LST/SUBT) initial anomalies over Tibetan Plateau in different land models. Clim. Dyn., Doi: 10.1007/s00382-021-05937-z.
54. Qiu Yuan, Feng Jinming*, Yan Zhongwei, Wang Jun, Li Zhen, 2021: High-resolution dynamical downscaling for regional climate projection in Central Asia based on bias-corrected multiple GCMs. Clim. Dyn., Doi: 10.1007/s00382-021-05934-2.
55. Wang Hui, Wu Qizhong, Guenther AB, Yang Xiaochun, Wang Lanning, Tang Xiao, Li Jie, Feng Jinming, Xu Qi, Cheng Huaqiong, 2021: A long-term estimation of biogenic volatile organic compound (BVOC) emission in China from 2001-2016: the roles of land cover change and climate variability. Atmos. Chem. Phy., 21 (6): 4825-4848, Doi: 10.5194/acp-21-4825-2021.
56. Wang Jun*, Feng Jinming, Yan Zhongwei, Chen Yang, 2020: Future Risks of Unprecedented Compound Heat Waves Over Three Vast Urban Agglomerations in China. Earths Future, 8 (12), DOI: 10.1029/2020EF001716.
57. Wang J*, Yan ZW, 2021: Rapid rises in the magnitude and risk of extreme regional heat wave events in China. Weather and Climate Extremes, 34, 100379.
58. Wang Jun, Chen Yang, Liao Weilin, He Guanhao, Simon F. B. Tett, Yan Zhongwei, Zhai Panmao, Feng Jinming, Ma Wenjun, Huang Cunrui, Hu Yamin, 2021: Anthropogenic emissions and urbanization increase risk of compound hot extremes in cities. Nature climate change, https://doi.org/10.1038/s41558-021-01196-2.
59. Xue Yongkang, Tandong Yao, Aaron A. Boone, Ismaila Diallo, Ye Liu, Xubin Zeng, William K. M. Lau, Shiori Sugimoto, Qi Tang, Xiaoduo Pan, Peter J. van Oevelen, Daniel Klocke, Myung-Seo Koo, Tomonori Sato, Zhaohui Lin, Yuhei Takaya, Constantin Ardilouze, Stefano Materia, Subodh K. Saha, Retish Senan, Tetsu Nakamura, Hailan Wang, Jing Yang, Hongliang Zhang, Mei Zhao, Xin-Zhong Liang, J. David Neelin, Frederic Vitart, Xin Li, Ping Zhao, Chunxiang Shi, Weidong Guo, Jianping Tang, Miao Yu, Yun Qian, Samuel S. P. Shen, Yang Zhang, Kun Yang, Ruby Leung, Yuan Qiu, Daniele Peano, Xin Qi, Yanling Zhan, Michael A. Brunke, Sin Chan Chou, Michael Ek, Tianyi Fan, Hong Guan, Hai Lin, Shunlin Liang, Helin Wei, Shaocheng Xie, Haoran Xu, Weiping Li, Xueli Shi, Paulo Nobre, Yan Pan, Yi Qin,, Jeff Dozier, Craig R. Ferguson, Gianpaolo Balsamo, Qing Bao, Jinming Feng, Jinkyu Hong, Songyou Hong, Huilin Huang, Duoying Ji, Zhenming Ji, Shichang Kang,, Yanluan Lin, Weiguang Liu,, Ryan Muncaster, Patricia de Rosnay, Hiroshi G. Takahashi, Guiling Wang, Shuyu Wang,, Weicai Wang, Xu Zhou, and Yuejian Zhu, 2021: Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design. Geosci. Model Dev., 14, 4465–4494, 2021, https://doi.org/10.5194/gmd-14-4465-2021.
60. Yang Qidong, Li Dan, Meizhao Lv, Jian Wu, Weidong Li, Wenjie Dong. 2021: Quantitative assessment of the parameterization sensitivity of the Noah-MP land surface model with dynamic vegetation using China FLUX data. Agricultural and Forest Meteorology, 307, (2021) 108542.
61. Zhong Linhao*, Hua Lijuan, Yao Yao, Feng Jinming, 2021: Interdecadal aridity variations in Central Asia during 1950-2016 regulated by oceanic conditions under the background of global warming. Clim. Dyn., 56 (11-12): 3665-3686, Doi: 10.1007/s00382-021-05659-2.
62. Zhong Linhao*, Hua Lijuan, Yao Yao, Feng Jinming, Zhao Tianbao, 2021: Moisture transport to a typical transitional climate zone in North China forced by atmospheric and oceanic internal variability under the background of global warming. Int. J. Clim., 41 (5): 2962-2982. Doi: 10.1002/joc.6999.
63. 邓慧平，丹利*，肖燕，王倩，2021：基于 SSiB4T/TRIFFID 模拟的森林植被与流域径流量关系研究. 生态环境学报 2021, 30(6): 1129-1138
64. 符传博，丹利*，唐家翔，佟金鹤. 2021： 2017年10月海南省一次臭氧污染特征及输送路径与潜在源区分析. 环境科学研究，34(4)，863-871.
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68. Dai G, Li C, Han Z*, Luo D, Yao Y, 2021: The Nature and Predictability of the East Asian Extreme Cold Events of 2020/21. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-021-1057-3.
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70. Fei W, Zheng H*, Xu Z, Wu W-Y, Lin P, Tian Y, et al. (2021). Ensemble skill gains obtained from the multi-physics versus multi-model approaches for continental-scale hydrological simulations. Water Resources Research, 57(7), e2020WR028846.
71. Li C, Zhao T*, Shi C, Liu Z, 2021: Assessment of precipitation from the CRA40 dataset and new generation reanalysis datasets in the global domain. Int J Climatol., 41:5243–5263.
72. Zhang, J. P., T. B. Zhao*, L. B. Zhou, L. K. Ran., 2021: Historical changes and future projections of extreme temperature and precipitation along the Sichuan–Tibet Railway. J. Meteor. Res., 35(3), 402–415, doi: 10.1007/s13351-021-0175-2.
73. Zhao, T. *, and A. Dai*, 2021: CMIP6 model-projected hydroclimatic and drought changes and their causes in the 21st century. J. Climate, doi: https://doi.org/10.1175/JCLI-D-21-0442.1.
74. Xu*, X., G. Jia*, X. Zhang, W. Riley, Y. Xue, 2021: Scale matters in understanding the complexity of Amazon fires: A response to the Editor. Global Change Biology, 27, e2-e4.
75. Bao, T., X. Xu*, G. Jia, D.P. Billesbach, R.C. Sullivan, 2021: Much stronger tundra methane emissions during autumn-freeze than spring-thaw. Global Change Biology, 27, 376-387.
76. Bao, T., G. Jia, X. Xu*, 2021: Wetland heterogeneity determines methane emissions: A pan-Arctic synthesis. Environmental Science and Technology, 55, 14, 10152-10163.
77. Shi, Z, X. Xu, G. Jia*, 2021: Urbanization magnified nighttime heat waves in China. Geophysical Research Letters, 48, e2021GL093603.
78. Mtewele, Z., X. Xu, G. Jia*, 2021: Heterogeneous trends of precipitation extremes in recent two decades over East Africa. Journal of Meteorological Research, 35(1), 1-18. Doi:10.1007/s13351-021-1028-8.
79. Shi, Z, G. Jia, Y. Zhou, X. Xu, Y. Jiang, 2021: Amplified intensity and duration of heatwaves by concurrent droughts in China, Atmospheric Research, 261 (24): 105743.
80. Sun, X., W. Wu, X. Li, X. Xu, J. Li, 2021: Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis. Remote Sensing, 13(2):166.
81. Zhang A, Jia G*, Ustin S, 2021: Water availability surpasses warmth in controlling global vegetation trends in recent decade: Revealed by satellite time series. Environmental Research Letters, 16, 074028.
82. Hu Y*, Jia G, Ai J. Zhang Y, Hou M, Li Y, 2021: Urban heat island estimation from improved selection of urban and rural stations by DTW algorithm. Theoretical and Applied Climatology, 146, 443–455.
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91. Ying Han, Meng-Zhuo Zhang, Zhongfeng Xu*, Weidong Guo, 2021: Assessing the performance of 33 CMIP6 models in simulating the large-scale environmental fields of tropical cyclones. Clim. Dyn. Doi: https://doi.org/10.1007/s00382-021-05986-4.
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已接收论文（12篇）
1. Yao Y*, Zhang W, Luo D, Zhong L, L P, 2021: Seasonal cumulative effect of Ural blocking episodes on the frequent cold events in China during the early winter of 2020/21. Advances In Atmospheric Sciences, in press.
2. Li M, Yao Y, Simmonds I, Luo D, Zhong L, Pei L, 2021: Linkages between the atmospheric transmission originating from the North Atlantic Oscillation and persistent winter haze over Beijing. Atmospheric Chemistry and Physics.
3. Dai G, Li X, Han Z*, Luo D, Yao Y, 2021: The Nature and Predictability of the East Asian Extreme Cold Events of 2020/21. Advances In Atmospheric Sciences. in press.
4. Song Y, Luo D*, Zheng F, Yao Y, 2021: Impact of Ural blocking on sub‑seasonal Siberian cold anomalies modulated by the winter East Asian trough. Climate Dynamics. In press.
5. Zhang X*, Fu, Y, Han Z et al. 2021: Extreme Cold Events from East Asia to North America in Winter 2020/21: Comparisons, Causes, and Future Implications. Adv. Atmos. Sci. https://doi.org/10.1007/s00376-021-1229-1.
6. 王卓凡，韩哲，李双林，李国平，孙雪倩，两类El Niño事件盛期南大洋海冰异常的对比分析，气候与环境研究，doi:10.3878/j.issn.1006-9585.2021.20000
7. Jing Peng, Yongli Wang*, Li Dan, Jinming Feng, Fuqiang Yang, Xiba Tang, Qizhong Wu. Overestimated terrestrial carbon uptake in the future owing to the lack of spatially varying CO2 in Earth system models. Earth's Future.
8. Wenli Wang, Li D., Cenlin H., Moore J., Gongxue W., Guoyue N., 2021: Physics-based narrowband optical parameters for snow albedo simulation in climate models. Journal of Advances in Modeling Earth Systems (accepted).
9. Zhou C S, Li H C, Yu C, Xia J J, Zhang P W*, 2021: MRML: A method of fine-grained grid prediction combined with metorological stations data. Applied Mathmatics and Mechanics, accepted.
10. 王文杰，钱诚*，张宇，封小凡，张嘉仪, 2021: 1961~2020年中国两大林区森林火险天气的多尺度特征[J]. 气候与环境研究, doi:10.3878/j.issn.1006-9585.2021.21097
11. 袁闪闪，陈潇君，薄宇*，曲世琳，胡楚梅，贺克斌，2021：“十四五”清洁取暖重点城市筛选方法及改造目标研究[J]，建筑科学.
12. 张雨琪，焦瑞莉，薄宇，陶益凡，王立志*，2021：基于图像感兴趣区域融合特征的PM2.5浓度预测方法. 中国环境监测.