一、已发表论文
1. Bao T, Jia G, Xu* X, 2023: Weakening greenhouse gas sink of pristine wetlands under warming. Nature Climate Change, 13(5), 462-469. (影响因子30.7)
2. Liang L, Guo H, Liang S, Li X, Moore J C, Li X, Cheng X, Wu W, Liu Y, Rinke A, Jia G, Pan F, Gong C, 2023: Delayed Antarctic melt season reduces albedo feedback. National Science Review, nwad157. (影响因子20.6)
3. Luo, B.H., Luo, D.H.*, Ge, Y., Dai, A.G., Wang, L., Simmonds, I., Xiao, C.D., Wu, L.X. Yao, Y., 2023. Origins of Barents-Kara sea-ice interannual variability modulated by the Atlantic pathway of El Nino-Southern Oscillation. Nature Communications, 14, 585. (影响因子16.6)
4. Zheng, H., Fei, W., Yang, Z.-L., Wei, J., Zhao, L., Li, L., & Wang, S. (2023). An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015. Earth System Science Data, 15(7), 2755–2780. https://doi.org/10.5194/essd-15-2755-2023. (影响因子11.4)
5. Li Dongqing, Wu Qizhong, Feng Jinming, Wang Yongli, Wang Lanning, Xu Qi, Sun Yiming, Cao Kai, Cheng Huaqiong, 2023: The influence of anthropogenic emissions on air quality in Beijing-Tianjin-Hebei of China around 2050 under the future climate scenario. Journal of Cleaner Production, 388, https://doi.org/10.1016/j.jclepro.2023.135927. (影响因子11.1)
6. Zhao H, Jia* G, Xu X, Zhang A, Wang H, 2023: Divergent effects of intensified precipitation on primary production in global drylands. Science of The Total Environment, 164736. (影响因子9.8)
7. Xia Zhang, Jianping Duan, Francesco Cherubini, Zhuguo Ma, A global daily evapotranspiration deficit index dataset for quantifying drought severity from 1979 to 2022. Scientific Data. DOI : 10.1038/s41597-023-02756-1. (影响因子9.8)
8. Liang Mingjie, Zhiwei Han*, Jiawei Li, Yele Sun, Lin Liang, Yue Li, 2023. Radiative effects and feedbacks of anthropogenic aerosols on boundary layer meteorology and fine particulate matter during the COVID-19 Lockdown over China. Science of the Total Environment. 862, 160767. (影响因子9.8)
9. Peng Jing, Li Kai, Dan Li et al. Sea–air coupling leads to a decrease in precipitation in East Asia under present day conditions that is partially alleviated in future simulations. npj Clim Atmos Sci 6, 174 (2023). https://doi.org/10.1038/s41612-023-00498-w. (影响因子9.4)
10. Huang Fang, Xu Zhongfeng, Guo Weidong, Feng Jinming, Chen Liang, Zheng Hui, Fu Congbin, Relative contributions of internal variability and external forcing to the inter-decadal transition of climate patterns in East Asia. NPJ Climate and Atmospheric Science, 6(1), https://doi.org/10.1038/s41612-023-00351-0. (影响因子9.4)
11. Zhongfeng Xu,npj Clim Atmos Sci6https://doi.org/10.1038/s41612-023-00498-w. (影响因子)
12. Li, M., D. Luo*, Y. Yao, L. Zhong and I. Simmonds, 2023: Bidimensional climatology and trends of Northern Hemisphere blocking utilizing a new detection method, Quart. J. Roy. Metoro. Soc., DOI: 10.1002/qj.4489. (影响因子8.9)
13. Luo, B.H., Luo, D.H*., Zhuo, W.Q., Xiao, C.D., Dai, A.G., Simmonds, I., Yao, Y., Diao, Y. A. Gong, T.T., 2023. Increased Summer European Heatwaves in Recent Decades: Contributions From Greenhouse Gases-Induced Warming and Atlantic Multidecadal Oscillation-Like Variations. Earths Future, 11. (影响因子8.2)
14. Wang Lin, Huang Gang, Chen Wen, Wang Ting. 2023. Super Drought under Global Warming: Concept, Monitoring Index, and Validation. Bulletin of the American Meteorological Society. 104(5): E943-E969. (影响因子8)
15. Qian C*, Ye Y, E. Bevacqua, J. Zscheischler, 2023: Human influences on spatially compounding flooding and heatwave events in China and future increasing risks. Weather Clim. Extrem., 42, 100616, doi: https://doi.org/10.1016/j.wace.2023.100616.(影响因子8.０)
16. Yao, Y.*, Zhuo, W., Gong, Z., Luo, B., Luo, D., Zheng, F., Zhong, L., Huang, F., Ma, S., Zhu, C. Zhou, T., 2023. Extreme Cold Events in North America and Eurasia in November — December 2022: A Potential Vorticity Gradient Perspective. Adv. Atmos. Sci., 40, 953-962. (影响因子7.8)
17. Fan L*, Yan Z, Chen D, Li Z, 2023: Assessment of total and extreme precipitation over central Asia via statistical downscaling: added value and multi-model ensemble projection. Advances in Climate Change Research, 14(1), 62-67, https://doi.org/10.1016/j.accre.2023.01.004. (影响因子7.4)
18. Qian C*, Ye Y, Jiang J, Zhong Y, Zhang Y, I. Pinto, Huang C, Li S, Wei K, 2023: Rapid attribution of the record-breaking heatwave event in North China in June 2023 and future risks. Environ. Res. Lett., https://doi.org/10.1088/1748-9326/ad0dd9.(影响因子6.947)
19. Ge, Y. and D. Luo*, 2023: Winter cold extremes over the eastern North America: Pacific origins of interannual-to-decadal variability, Environ. Res. Lett., 18, 054006. (影响因子6.947)
20. Xu T, Zhang A, Xu X, Jia* G, 2023: Synchronized slowdown of climate warming and carbon sink enhancement over deciduous broadleaf forests based on FLUXNET analysis. Ecological Indicators, 155, 111042. (影响因子6.9)
21. Zhu X, Xu X, Jia* G, 2023: Recent massive expansion of wildfire and its impact on active layer over pan-Arctic permafrost. Environmental Research Letters, 18(8), 084010. (影响因子6.7)
22. Mtewele Z F, Jia G, Xu* X, 2023: Serengeti–Masai Mara ecosystem dynamics inferred from rainfall extremes. Environmental Research Letters, 18(11), 114026. (影响因子6.7)
23. Igun E, Xu X, Shi Z, Jia* G, 2023: Enhanced nighttime heatwaves over African urban clusters. Environmental Research Letters, 18(1), 014001. (影响因子6.7)
24. Qiu Yuan, Feng Jinming*, Yan Zhongwei, Wang Jun, 2023: Assessing the land-use harmonization (LUH) 2 dataset in Central Asia for regional climate model projection. Environmental Research Letters, 18(6), https://doi.org/10.1088/1748-9326/accfb2. (影响因子6.7)
25. Qiu Y, Feng J*, Yan Z, Wang J, 2023: Assessing the Land-Use Harmonization (LUH) 2 dataset in Central Asia for regional climate model projection. Environmental Research Letters, 18. DOI: 10.1088/1748-9326/accfb2. (影响因子6.7)
26. Jian, D., G.-Y. Niu, Z. Ma, H. Liu, D. Guan, X. Zhou, and J. Zhou, 2023: Limited driving of elevated CO2 on vegetation greening over global drylands. Environmental Research Letters, 18. (影响因子6.7)
27. Liu Ruiting, Zhiwei Han*, Jiawei Li, Jie Li, Lin Liang, Yunfei Wu. 2023. The Impacts of urban anthropogenic heat and surface albedo change on boundary layer meteorology and air pollutants in the Beijing-Tianjin-Hebei region. Urban Climate. 47,101358. (影响因子6.4)
28. Dai G, Mu M, Han Z, Li C, Jiang Z, Zhu M, Ma X, 2023: The Influence of Arctic Sea Ice Concentration Perturbations on Subseasonal Predictions of North Atlantic Oscillation Events. Adv. Atmos. Sci. 40, 2242–2261. (影响因子7.8)
29. Peng Jing, Dan L. & Tang, X. Phosphorus Limitation on Carbon Sequestration in China under RCP8.5. Adv. Atmos. Sci. 40, 1187-1198 (2023). https://doi.org/10.1007/s00376-022-2195-y. (影响因子5.8)
30. Argiriou, A. A*., Li Z, V. Armaos, A. Mamara, Shi Y, and Yan Z*, 2023: Homogenised monthly and daily temperature and precipitation time series in China and Greece since 1960. Advances in Atmospheric Sciences, 40, 1326-1336. https://doi.org/10.1007/s00376-022-2246-4.(影响因子5.8)
31. Li, Z., Q. Yang, D. Yuan, E. Lu, and Z. Ma, 2023: Causes of a Typical Southern Flood and Northern Drought Event in 2015 over Eastern China. Advances in Atmospheric Sciences, 40, 2092-2107. (影响因子5.8)
32. Liu Q, Lou X, Yan Z, Qi Y, Jin Y, Yu S, Yang X, Zhao D, Xia J*, 2023: Deep-Learning Post-processing of Short-Term Station Precipitation based on NWP forecasts. Atmospheric Research, 295 (04), 107032, DOI: 10.1016/j.atmosres.2023.107032. (影响因子5.5)
33. Li Chunxiang, Dai Guokun, Mu Mu, Han Zhe, Ma Xueying, Jiang Zhina, Zheng jiayu, Zhu Mengbin, 2023: Influence of Arctic sea-ice concentration on extended-range forecasting of cold events in East Asia, Advances in Atmospheric Sciences. 40: 2224-2241. (影响因子5.8)
34. Qiu Yuan, Yan Zhongwei*, Feng Jinming*, Hua Lijuan, Fan Lijun, Li Zhen, Wang Jun, Qian Chen, 2023: Robust historical and future drying trends in Central Asia evidenced by the latest observation and modeling datasets, Atmospheric Research, 295, https://doi.org/10.1016/j.atmosres.2023.107033. (影响因子5.5)
35. Dai Guokun, Ma Xueying, Mu Mu, Han Zhe, Li Chunxiang, Jiang Zhina, Zhu Mengbin, 2023: Optimal Arctic sea ice concentration perturbation in triggering Ural blocking formation. Atmospheric Research, 289: 106775. (影响因子5.5)
36. Zhou, K., L. Ran, L. Zhou, T. Zhao, and L. Chen, 2023: The study of fengyun4a temperature profile data assimilation in a southwest vortex heavy rainfall case. Atmospheric Research, 283, 106566, http://dx.doi.org/10.2139/ssrn.4145237. (影响因子5.5)
37. Dai G, Ma X, Mu M, Han Z, Li C, Jiang Z, Zhu M, 2023: Optimal Arctic sea ice concentration perturbation in triggering Ural blocking formation. Atmospheric Research. DOI: 10.1016/j.atmosres.2023.106775. (影响因子5.5)
38. Zhuo, W.Q., Yao, Y.*, Luo, D.H., Simmonds, I. Huang, F., 2023. The key atmospheric drivers linking regional Arctic amplification with East Asian cold extremes. Atmos. Res., 283. (影响因子5.5)
39. Song, Y.Y., Yao, Y.*, Luo, D.H. Li, Y.L., 2023. Loss of autumn Kara-East Siberian Sea ice intensifies winter Ural blocking and cold anomalies in high latitudes of Eurasia. Atmos. Res., 295. (影响因子5.5)
40. Weng, X.*, Li, J.W*, Forster, G. L., Nowack, P., 2023: Large modeling uncertainty in projecting decadal surface ozone changes over city clusters of China. Geophysical Research Letters, 50, e2023GL103241. https://doi.org/10.1029/2023GL103241. (影响因子5.2)
41. Hu Y, Li X M, Dou C, Jia G, Hu Z, Xu A, Ren Y, Yan L, Wang N, Cui Z, Chen F, 2023: Absolute radiometric calibration evaluation of the thermal infrared spectrometer onboard SDGSAT-1. International Journal of Digital Earth, 16(2), 4493-4512. (影响因子5.1)
42. Li Yue, Zhiwei Han*, Yu Song, Jiawei Li, Yele Sun, Tiantian Wang, 2023. Impacts of the COVID-19 lockdown on atmospheric oxidizing capacity and secondary aerosol formation over the Beijing-Tianjin-Hebei region in Winter-Spring 2020. Atmospheric Environment. 295, 119540. (影响因子5.0)
43. Yu X, Lou X, Yan Y, Yan Z, Cheng W, Wang Z, Zhao D, Xia J*, 2023: Radar echo reconstruction in oceanic area via deep learning of satellite data. Remote Sensing, 15(12), 3065, doi.org/10.3390/rs15123065. (影响因子5.0)
44. Duan, Y., Q. Yang, Z. Ma, P. Wu, X. Chen, and J. Duan, 2023: Disentangling the Driving Mechanisms of the Tripole Mode of Summer Rainfall over Eastern China. Journal of Climate, 36, 1175-1186. (影响因子4.9)
45. Zha Jinlin, Shen Cheng, Wu Jian, Zhao Deming*, Fan Wenxuan, Jiang Huiping, Azorin-Molina Cesar, Zhao Tianbao, 2023: Evaluation and projection of changes in daily maximum wind speed over China based on CMIP6. Journal of Climate, 36: 1503-1520. https://doi.org/10.1175/JCLI-D-22-0193.1. (影响因子4.9)
46. Tong X, Yan Z*, Zhou W, Xia J, Quan X, 2023: Multidecadal Oceanic Modulation of Summer Precipitation in North China in 1200-Year Global Climate Simulations. Journal of Climate, 36 (17) 6125-6138. https://doi.org/10.1175/JCLI-D-22-0693.1. (影响因子4.9)
47. Tian, J., H. Wang, Z. Zhang, Y. Fu, T. Zhao, and H. Tao, 2023: Unraveling the connection between vegetation greening and terrestrial water storage decline in the arid and semi-arid regions of northwest China. Journal of Hydrology: Regional Studies, 49, 101509, https://doi.org/10.1016/j.ejrh.2023.101509. (影响因子)
48. Zhao Deming*, Zha Jinlin, Wu Jian, 2023: Emphasizing the land use-cloud-radiation feedback in detecting climate effects of land use and land cover changes. Climate Dynamics, https://doi.org/10.1007/s00382-023-06959-5. (影响因子4.6)
49. Yongkang Xue, Ismaila Diallo, Aaron A. Boone, Yang Zhang, Xubin Zeng, William K. M. Lau5, J. David Neelin, Tandong Yao, Qi Tang, Tomonori Sato, Myung‑Seo Koo, Frederic Vitart, Constantin Ardilouze, Subodh K. Saha1, Stefano Materia, Zhaohui Lin, Yuhei Takaya, Jing Yang, Tetsu Nakamura, Xin Qi, Yi Qin, Paulo Nobre, Retish Senan, Hailan Wang, Hongliang Zhang, Mei Zhao, Hara Prasad Nayak, Yan Pan, Xiaoduo Pan, Jinming Feng, Chunxiang Shi, Shaocheng Xie, Michael A. Brunke, et al., 2023: Remote effects of Tibetan Plateau spring land temperature on global subseasonal to seasonal precipitation prediction and comparison with effects of sea surface temperature: the GEWEX/LS4P Phase I experiment. Climate Dynamics, https://doi.org/10.1007/s00382-023-06905-5. (影响因子4.6)
50. Xiao C, Qian C*, Huang A, Guo R, Xue K, 2023: Evaluation of AMIP models from CMIP6 in simulating winter surface air temperature trends over Eurasia during 1998–2012 based on dynamical adjustment. Climate Dynamics, 60, 17–31, doi 10.1007/s00382-022-06295-0. (影响因子4.6)
51. Zhang, S. M. Li*, Z. Ma, D. Jian, M. Lv, Q. Yang, 2023: The intensification of flash droughts across China from 1981 to 2021. Climate Dynamics. DOI:10.1007/s00382-023-06980-8. (影响因子4.6)
52. Ying, K., D. Jiang, X. Zheng, Carsten S. Frederiksen, J. Peng, T. Zhao, and L. Zhong, 2022: Seasonal predictable source of the East Asian summer monsoon rainfall in addition to the ENSO-AO. Clim. Dyn., doi: 10.1007/s00382-022-06461-4. (影响因子4.6)
53. Han Zhe, Dai Guokun, Mu Mu, Li Chunxiang, Li Shuanglin, Ma Xueying, Zhu Mengbin, 2023: Extent of the impact of Arctic atmospheric uncertainty on extended-range forecasting of cold events in East Asia. Journal of Geophysical Research: Atmospheres, 128, e2022JD03. (影响因子4.4)
54. He Yuting, Wang Jun, Feng Jinming, 2023: A typical weakly forced mountain-to-plain extreme precipitation event exacerbated by urbanization in Beijing. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2023JD039275. (影响因子4.4)
55. Han Z, Dai G, Mu M, Li C, Li S, Ma X, Zhu, M, 2023: Extent of the impact of Arctic atmospheric uncertainty on extended-range forecasting of cold events in East Asia. Journal of Geophysical Research: Atmospheres, 128, e2022JD037187. (影响因子4.4)
56. Wang, Y., T. Zhao*, L. Hua, X. Guan, C. Xu, and X. Chen, 2023: Influence of anthropogenic and natural forcings on future changes in precipitation projected by the CMIP6-DAMIP models. Int. J. Climatol., doi: 10.1002/ioc.8064. (影响因子)
57. Randriatsara H H R H, Hu Z, Xu* X, Ayugi B, Sian K T C L K, Mumo R., Ongoma V, Holtanova E, 2023: Performance evaluation of CMIP6 HighResMIP models in simulating precipitation over Madagascar. International Journal of Climatology, 43(12), 5401-5421. (影响因子3.9)
58. Zhao H, Jia* G, Xu X, Zhang A, 2023: Earlier precipitation enhances dryland annual primary production. Journal of Geophysical Research: Biogeosciences, 128(1), e2022JG007127. (影响因子3.7)
59. Li JW, Zhang Z, Tao J, Pan Y, Luo L and Han Z, 2023: The impact of biomass burning emissions on aerosol concentrations and depositions in the northern South China Sea region. Front. Environ. Sci. 11:1124579. doi: 10.3389/fenvs.2023.1124579. (影响因子3.4)
60. Chen, Q., T. Zhao*, L. Hua, et al., 2023. Future drought changes in China projected by the CMIP6 models: Contributions from key factors. Journal of Meteorological Research, 37(4), 454-468, http://jmr.cmsjournal.net/en/article/doi/10.1007/s13351-023-2169-8. (影响因子)
61. Shaukat Ali, Zulfiqar A. Bhutta, Michelle S. Reboita, Muhammad Arif Goheer, Shiva Ebrahimi, Jose Roberto Rozante, Rida S. Kiani, Sher Muhammad, Firdos Khan, Md Mizanur Rahman, Madan L. Shreshta, Li Dan, 2023: A 5-km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016. Geoscience Data Journal., 00. 1-11. (影响因子3.2)
62. 符淙斌，马柱国，2023：全球干旱/半干旱区年代尺度干湿变化的进展及思考. 大气科学学报, 46, 481-490.
63. 张霞，段建平，马柱国，2023：基于日干旱指数的青藏高原1979-2020年干湿变化特征分析. 高原气象，42, 870-886.
64. 秦鹏飞，赵天保，曹建荣，李珍*. 2023：基于均一化数据的1960-2021年中国蒸发皿蒸发量时空变化特征[J]. 气象学报, 81(3), 478-491, doi: 10.11676/qxxb2023.20220114.
65. 涂锴*，严中伟，范丽军，李珍. 2023： 基于动态重现期的极端高温气候评估方法研究[J]. 气候变化研究进展, 19 (1): 11-22, doi: 10.12006/j.issn.1673-1719.2022.008.
66. 余清波，曹丽娟，李珍*，王程程，张一博，朱亚妮，王丽丽. 2023: 1909-2021年长春市极端气温多尺度变化特征及其与大尺度气候指数的关系[J]. 气候与环境研究, 28(4): 437-449, doi:10.3878/j.issn.1006-9585.2023.22115.
67. 程伟，罗勇，曹龙，丹利，黄磊，邓祥征*，2023：二氧化碳移除技术研究进展与评述[J]. 气候变化研究进展, 19 (5): 672-682.
68. 符传博，林建兴*，唐家翔，丹利，2023：海口市臭氧浓度统计预报模型的构建与效果评估[J]. 环境科学. https://doi.org/10.13227/j.hjkx.202306035.
69. 符传博, 丹利*，佟金鹤，陈红,2023：海口市区臭氧污染变化特征及潜在源区分析[J]. 生态环境学报., 32(2): 331-340.
70. 符传博*，丹利，佟金鹤，徐文帅，2023：三亚市区臭氧污染变化特征及潜在源区分析[J]. 环境科学与技术, 46(1):152-160.
71. 彭静，丹利，王永立，冯锦明，杨富强，祁威, 2023：百年尺度不同区域地表气温对CO2浓度非均匀动态分布敏感度的研究. 气候与环境研究, 28(2), 117-130.
72. 彭静，丹利，周天军，季劲钧，冯锦明，黄玫[2]；杨富强，徐忠峰，郑辉，应恺然，李嘉伟，钱拴, 2023：碳中和背景下大气科学碳氮循环研究前沿问题与建议. 第四纪研究，43(2) , 594-603.
73. 古再丽努尔.亚森，张京朋，赵天保*，2023：CMIP6多模式对21世纪中亚极端降水未来变化预估.气候与环境研究，doi:10.3878/j.issn.1006-9585.2022.22021.
74. 李学武，张京朋，赵天保，赵廷宁，2023：我国西北地区干湿变化特征及其未来情景预估，doi:10.3878/j.issn.1006-9585.2023.22000.
75. 苏海锋, 戴新刚, 熊喆, 等. 2023：黑河流域降水统计—动力降尺度问题研究. 大气科学, 47(3): 642-654 doi: 10.3878/j.issn.1006-9895.2201.21081.
76. 陈鲍发，马中元，王立志，黄龙飞，蔡俊峰，李燕玲，2023：景德镇一次雷暴回波“崩塌”现象与强风关系的分析[J].成都信息工程大学学报, 38(4):459-466, doi:10.16836/j.cnki.jcuit.2023.04.013.
77. 张晓芳，马中元，王立志，陈鲍发，邱雯婷，2023：“2021-3-30”江西大冰雹超级单体的回波结构与关键机制分析[J].热带气象学报, 39(3):374-385, doi:10.16032/j.issn.1004-4965.2023.034.
78. 孙世达，王博，孙露娜，黄旭，王星星，张世达，薄宇*,2023：江苏省高时空分辨率机动车排放清单构建及特征[J].中国环境科学, 43(9):4490-4502, doi:10.19674/j.cnki.issn1000-6923.20230506.003.
79. 顾阔，焦瑞莉，薄宇*，刘帅强，王立志，2023：基于复合LSTM模型的PM2.5浓度预测[J].中国环境监测, 39(1):170-180, doi:10.19316/j.issn.1002-6002.2023.01.18.
80. 周卫青，李朋，吴华成，何学娟，孙世达，薄宇*，贺克斌，2023：基于电力数据优化大气污染物排放清单[J].中国环境科学, 43(7):3350-3359, doi:10.19674/j.cnki.issn1000-6923.20230109.001.
81. 孙世达，张改革，孙露娜，徐晨曦，郭梦婕，崔泽琪，何学娟，李富柏，宋子谦，薄宇*，贺克斌，2023：河北省2013～2020年大气污染治理进程中的减污降碳协同效益[J].环境科学, 44(10):5431-5442, doi:10.13227/j.hjkx.202210097.
82. 李富柏，焦瑞莉，薄宇，李朋，2023：基于DTWKNN的电力缺失数据补全方法[J].北京信息科技大学学报(自然科学版), 38(5):32-38, doi:10.16508/j.cnki.11-5866/n.2023.05.005.
83. 黄昱杰，刘贵贤，薄宇，王洁，曹明悦，鲁玺，贺克斌,2023：京津冀协同推进碳达峰碳中和路径研究[J].中国工程科学, 25(2):160-172, doi:10.15302/J-SSCAE-2023.07.013.
二、已接收论文
1. Yin, Z. Y., Lin, P. R., Riggs, R., Allen, G. H., Lei, X. Y., Zheng, Z. Y., and Cai, S. Y.: A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-256, in review, 2023. (影响因子１１.４)
2. Zhongfeng Xu*, Ying HAN, Meng-Zhuo ZHANG, Chi-Yung TAM, Zong-Liang YANG, Assessing dynamical downscaling simulation of Asian climate with bias-corrected CMIP6 dataset. Adv. Atmos. Sci. (影响因子7.8)
3. Li J W, Han Z W*, Li J, Luo L., 2023: Impacts of vertical distribution of Southeast Asian biomass burning emissions on aerosol distributions and direct radiative effects over East Asia. Atmospheric Environment, accepted. (影响因子５.０)
4. 段亚雯，杨庆，马柱国，郑子彦，李明星， 2023：中国东部夏季降水模态对不同二氧化碳增加过程的响应. 大气科学, doi:10.3878/j.issn.1006-9895.2304.23062.
5. 吕美霞，马柱国，李明星，2023：气候变化、植被改变及人类用水与黄河流域水循环的研究进展[J/OL]．大气科学学报. https://link.cnki.net/urlid/32.1803.P.20231007.0914.002.