主持的国家级科研项目
1. 中国自然科学基金重点项目，“风云卫星遥感高分辨率陆气碳水通量技术和方法研究”，231万元（直接经费），2024-2028
2. 国家自然科学基金重点项目，“基于星载双频测雨雷达反演中国雨季降水潜热垂直结构”，299万元（直接经费），2019-2023
3. 国家重点研发计划课题，“对流云不同生命期中气溶胶影响云和降水的机理及反馈研究”，399万元，2018-2021
4. 国家自然科学基金和贝尔蒙特论坛国际合作项目，“利用多源数据研究北半球中高纬寒带林火灾的可预报性及其对生态、社会和经济的影响”，239万元，2016-2020
5. 国家重点研发计划课题专题，“复杂环境下森林垂直分层的可燃物特性遥感原理和方法研究”，181万元，2021-2024
6. 国家自然科学基金面上项目，“地表比发射率约束下卫星被动微波贝叶斯反演中国陆地降水研究”，55万元（直接经费），2023-2026
7. 国家自然科学基金面上项目，“卫星观测研究中国陆地表微波比辐射率对云和降水的动态响应”，68万元（直接经费），2017-2020
8. 国家自然科学基金面上项目，“卫星观测研究气溶胶对中国降水垂直结构的影响”，86万元，2014-2017
9. 国家自然科学基金青年项目，“气候异常背景下降水垂直结构的特点研究”，27万元，2007-2009
GRANTS (as PI)
Key Project of China National Natural Science Foundation, “Technology and Methods for High-Resolution Land-Atmosphere Carbon and Water Flux Remote Sensing from Fengyun Satellites”, CNY 2.31 million (direct funding), 2024–2028.
Key Project of National Natural Science Foundation of China, “Inversion of Latent Heat Vertical Structure of Rainy Season Precipitation in China Using Spaceborne Dual-Frequency Precipitation Radar”, CNY 2.99 million (direct funding), 2019–2023.
National Key Research and Development Program Topic, “Mechanisms and Feedback of Aerosol Impact on Clouds and Precipitation during Different Convective Cloud Life Cycles”, CNY 3.99 million, 2018–2021.
National Natural Science Foundation of China and Belmont Forum International Cooperation Project, “Studying the Predictability of Boreal Forest Fires in the Northern Mid- and High Latitudes and Their Socioeconomic and Ecological Impacts Using Multi-Source Data”, CNY 2.39 million, 2016–2020.
National Key Research and Development Program Topic, “Principles and Methods for Remote Sensing of Vertical Stratification Combustible Properties in Forests under Complex Conditions”, CNY 1.81 million, 2021–2024.
General Project of National Natural Science Foundation of China, “Research on Satellite Passive Microwave Bayesian Inversion of Land Precipitation in China Under Surface Emissivity Constraints”, CNY 0.55 million (direct funding), 2023–2026.
General Project of National Natural Science Foundation of China, “Research on Dynamic Response of Land Surface Microwave Emissivity in China to Clouds and Precipitation Using Satellite Observations”, CNY 0.68 million (direct funding), 2017–2020.
General Project of National Natural Science Foundation of China, “Research on the Impact of Aerosols on the Vertical Structure of Precipitation in China Using Satellite Observations”, CNY 0.86 million, 2014–2017.
Youth Project of National Natural Science Foundation of China, “Research on the Characteristics of Precipitation Vertical Structure under Climate Anomalies”, CNY 0.27 million, 2007–2009.
发表文章
1. Hongxia Zhu, Renjun Zhou, Hongwei Zhao, Rui Li. The Impact of Air Pollution Control Programs (2014-2019) on the Vertical Structure of Precipitation in China. Geophysical research letter, 2nd revision
2. Liu, Q., Hu, J., Zhang, P., Liu, Y., Li, R., (2025) Global microwave land surface emissivity under all weather conditions derived from Fengyun-3D satellite observations. Journal of Geophysical Research: Atmospheres , 2nd revision
3. Hongxia Zhu, Hongwei Zhao, Shuping Yang, Renjun Zhou, Yu Wang, Yufei Zou, Chun Zhao, Rui Li. (2025) Smoke aerosols elevate precipitation and latent heat to the upper atmosphere globally. (npj Climate and Atmospheric Science，https://doi.org/10.1038/s41612-025-01047-3
4. Song, B., Hu, J., Wang, Y., Li, D., Zhang, P., Wang, Y., et al. (2025). Regional gross primary productivity estimation using passive microwave observations from China's Fengyun‐3B satellite. Journal of Geophysical Research: Atmospheres, 130, e2024JD041425. https://doi.org/10.1029/ 2024JD041425
5. Jiawei Duan, Jiheng Hu, Yuyun Fu, Qingyang Liu, Rui Li* & Yipu Wang (2025). Estimation of fire counts and fire radiative power using satellite optical and microwave vegetation indices with random forest method. Journal of Geophysical Research: Atmospheres, 130, e2024JD041680. https://doi.org/10.1029/2024JD041680
6. Hailemariam, M., Li, R*., Wang, Y. Observational study on the relationship of albedo with vegetation water content and canopy development in tropical and temperate forests of China. Theor Appl Climatol 156, 25 (2025). https://doi.org/10.1007/s00704-024-05275-0
7. Zhou Wang, Wenjin Wang, Jian-Guo Huang, Rui Li, Hanxue Liang, Jiawei Duan, Jiahao Cao, Feiyu Yang, Yaling Zhang, Claudia Hartl, Jacques C. Tardif, Qi-Bin Zhang, 2024：An improved assessment of forest disturbance using a novel approach of combining a Gaussian mixture model with an EM algorithm, Ecological Indicators, V 166,2024,112564,ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2024.112564.
8. Liu, J., Yu., B., Pang F., Fan, S., Gu L., He L, Lei Y., Li, B., Li, R., Li, Y., Liu, D., Liu, K., Tian, H., Wang, B., Wang, Y., Xu, M., Xue, X., Yan, F., Ye, X., Wang, Y,∗, Wu, W.*, 2024： SOTHE: SOlar-Terrestrial Habitability Explorer，Advances in Space Research
9. Yonghong LIU, Fuzhong WENG, Fei TANG *, Rui LI, Yongming XU, Yang HAN, Jun YANG and Qingyang LIU, 2024: Simulations of Microwave Land Surface Emissivity Using FengYun-3D Microwave Radiation Imager Data: A Case in the Tibetan Plateau, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 10.1109/JSTARS.2024.3478350
10. Liang Z, Gu D, Zhang M, Yang N, Zhao C, Li R, Wang Q, Ye Y, Liu J, Li X, et al. Diurnal Carbon Monoxide Retrieval from FY-4B/ GIIRS Using a Novel Machine Learning Method. J. Remote Sens. 2024;4:Article 0289. https://doi. org/10.34133/remotesensing.0289
11. Duan, Jiawei, Yuyun Fu, Jiheng Hu, Rui Li, 2024: Observed response of Microwave Land Surface Emissivity to antecedent rainfall in Hainan Island, International Journal of Remote Sensing, doi:10.1080/01431161.2024.2416591.
12. Zhu, H., Yang, S., Zhao, H., Wang, Y., Li, R*. 2024: Complex interplay of sulfate aerosols and meteorology conditions on precipitation and latent heat vertical structure. npj Climate and Atmospheric Science, 7(1). https://doi.org/10.1038/s41612-024-00743-w
13. Zhao, H., Yang, S., Wu, Q., Chen, L., Zhang, P., & Li, R*. 2024: Optimizing Satellite-Based Latent Heating Rate Profiling using a Convolutional Neural Network Heating (CNNH) Algorithm. IEEE Transactions on Geoscience and Remote Sensing. vol. 62, pp. 1-15, 2024, Art no. 4110315, doi: 10.1109/TGRS.2024.3466952.
14. Yuyun Fu, Jiheng Hu, Jiawei Duan, Qingyang Liu, Weiguo Song, Rui Li*, 2024: Satellite microwave measurements complementary to fire weather improve the assessment of fires among different biomes in Southeast Asia, Environment International, Volume 184,2024,108439,ISSN 0160-4120,https://doi.org/10.1016/j.envint.2024.108439. (SCI, Impcat Factor=13.35)
15. Wang, Y., LI Rui*, Song, B., and Hu, J., 2024: Divergent responses of summer terrestrial evapotranspiration to cloud increase in East Asia. Journal of Geophysical Research: Atmospheres, 129, e2023JD039246. https://doi.org/10.1029/2023JD039246
16. 李锐*, 李正强, 赵坤, 孙业乐. 2023. 国家自然科学基金大气科学学科二级申请代码下设研究方向与关键词解读：D0509大气观测、遥感和探测技术与方法[J]. 大气科学, 47(1): 174−184 doi: 10.3878/j.issn.1006-9895.2212.22309
17. LI Rui*, LI Zhengqiang, ZHAO Kun, SUN Yele. 2023. Research Directions and Keywords under the Secondary Application Codes of the Atmospheric Sciences Discipline of the National Natural Science Foundation of China: D0509 Atmospheric Observation, Remote Sensing and Detection Technology and Methods [J]. Chinese Journal of Atmospheric Sciences (in Chinese), 47(1): 174−184 doi: 10.3878/j.issn.1006-9895.2212.22309
18. Zhao, H., Li, R*., Zhang, P*., Fu, Y., Yang, S., Huang, C., & Li, D. (2023). Satellite-based fully connected neural network heating (FCNH) algorithm for estimating latent heating rate inside storms. Journal of Geophysical Research: Atmospheres, 128, e2022JD038448. https://doi.org/10.1029/2022JD038448 （SCI，IF= 4.277）
19. Fu, Y., Hu, J., Song, W., Cheng, Y., & Li, R*. (2023). Satellite observed response of fire dynamics to vegetation water content and weather conditions in Southeast Asia. ISPRS Journal of Photogrammetry and Remote Sensing, 202, 230-245. （SCI, IF =12.74）
20. Wang, Y., Hu, J., Li, R*., Song, B., & Hailemariam, M. (2023). Remote sensing of daily evapotranspiration and gross primary productivity of four forest ecosystems in East Asia using satellite multi-channel passive microwave measurements. Agricultural and Forest Meteorology, 339, 109595. （SCI, IF = 6.112）
21. Wang, Y., Hu, J.*, Li, R.*, Song, B., Hailemariam, M., Fu, Y., & Duan, J. (2023). Increasing cloud coverage deteriorates evapotranspiration estimating accuracy from satellite, reanalysis and land surface models over East Asia. Geophysical Research Letters, 50, e2022GL102706. https://doi.org/10.1029/2022GL1027 (SCI, Impcat Factor=5.576)
22. Mai, Liting, Shuping Yang, Yu Wang, and Rui Li*. 2023. "Impacts of Shape Assumptions on Z–R Relationship and Satellite Remote Sensing Clouds Based on Model Simulations and GPM Observations" Remote Sensing 15, no. 6: 1556. https://doi.org/10.3390/rs15061556 (SCI, Impcat Factor=5.349)
23. Zhu, H., Li, R. *, Yang, S., Zhao, C., Jiang, Z., and Huang, C.,2023: The impacts of dust aerosol and convective available potential energy on precipitation vertical structure in southeastern China as seen from multisource observations, Atmos. Chem. Phys., 23, 2421–2437, https://doi.org/10.5194/acp-23-2421-2023. (IF=7.197)
24. Fu, Yuyun, Rui Li*, Jiheng Hu, Yipu Wang, and Jiawei Duan, 2022: Dataset of top-down nitrogen oxides fire emission estimation in northeastern Asia. Data in Brief (2022): 108734 (IF=1.38)
25. Sun, N., Fu, Y.*, Zhong, L., and Li, R., 2022: Aerosol effects on the vertical structure of precipitation in East China. npj Clim Atmos Sci 5, 60 (2022). https://doi.org/10.1038/s41612-022-00284-0
26. Wang, M., Fu, Y., Zhao,C., Zhong, L., Li, R., Wang, D., Qiu, X., & Zhou, S.(2022). Characteristics of summer cloud precipitation along latitude 30N in East Asia derived from Tropical Rainfall Measuring Mission Precipitation Radar and Visible and Infrared Scanner measurements. International Journal of Climatology,42(10), 5373–5392. https://doi.org/10.1002/joc.75385392
27. Kabeja, Crispin, Rui Li*, Digne Edmond Rwabuhungu Rwatangabo, and Jiawei Duan. 2022. "Monitoring Land Use/Cover Changes by Using Multi-Temporal Remote Sensing for Urban Hydrological Assessment: A Case Study in Beijing, China" Remote Sensing 14, no. 17: 4273. https://doi.org/10.3390/rs14174273 (SCI, Impcat Factor=5.35)
28. Fu, Yuyun, Rui Li*, Jiheng Hu, Yipu Wang, Jiawei Duan, 2022：Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia, Environment International, Volume 169, 2022, 107498, ISSN 0160-4120, https://doi.org/10.1016/j.envint.2022.107498. (SCI, Impcat Factor=13.35)
29. He, T.-L., Jones, D. B. A., Miyazaki, K., Bowman, K. W., Jiang, Z., Chen, X., Li, R., Zhang, Y., and Li, K. 2022: Inverse modeling of Chinese NOx emissions using deep learning: Integrating in situ observations with a satellite-based chemical reanalysis, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-251, in review, 2022.
30. Wang, R., Zhou, R., Yang, S., Li, R., Pu, J., Liu, K., Deng, Y., 2022: A New Algorithm for Estimating Low Cloud Base Height in Southwest China, Journal of Applied Meteorology and Climatology (published online ahead of print 2022). Retrieved May 28, 2022, from https://journals.ametsoc.org/view/journals/apme/aop/JAMC-D-21-0221.1/JAMC-D-21-0221.1.xml (SCI, Impcat Factor=2.93)
31. Zhang, Y.; Hu, J.; Gu, D.; Bo, H.; Fu, Y.; Wang, Y.; Li, R*, 2022: Simulation of Isoprene Emission with Satellite Microwave Emissivity Difference Vegetation Index as Water Stress Factor in Southeastern China during 2008. Remote Sens.,14, 1740. https://doi.org/10.3390/rs14071740 (SCI, Impcat Factor=5.349)
32. Zhou Renjun, Yan Tianyuan, Yang Shuping, Fu Yunfei, Huang Chen, Zhu Hongxia, Li Rui*, 2022: Characteristics of cloud, precipitation and latent heat in a mid-latitude front system mixed with dust storm as seen from GPM satellite observations and WRF simulations, Journal of Univerisity of Science and Technology of China, 52(2): 3. DOI: 10.52396/JUSTC-2021-0238 (Cover Article).
33. Jiaqi Chen , Zhe Jiang *, Rui Li , Chenggong Liao , Kazuyuki Miyazaki , Dylan B. A. Jones, 2022: Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in China, Environmental Research Letters, 17(3):035007, 2022. https://doi.org/10.1088/1748-9326/ac4ec0 (SCI, Impact Factor=6.79)
34. Li Rui, Yuyun Fu*, Yves Bergeron, Osvaldo Valeria, Raphaël D. Chavardès, Jiheng Hu, Yipu Wang, Jiawei Duan, Dong Li, Yuanxi Cheng, 2022：Assessing forest fire properties in Northeastern Asia and Southern China with satellite microwave Emissivity Difference Vegetation Index (EDVI), ISPRS Journal of Photogrammetry and Remote Sensing, Volume 183, Pages 54-65,ISSN 0924-2716, https://doi.org/10.1016/j.isprsjprs.2021.10.019. (SCI, Impact Factor=8.98)
35. Li, Rui, Jiheng Hu, Shengli Wu, Peng Zhang*, Husi Letu, Yu WANG, Xuewem Wang, Yuyun Fu, Renjun Zhou, Ling Sun . 2022: Spatiotemporal Variations of Microwave Land Surface Emissivity (MLSE) over China derived from 4-Year Recalibrated Fengyun 3B MWRI data. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-022-1314-0 (Editor Highlighted, SCI, Impact Factor=3.16)
36. Wang, YP., Li, R.*, Hu, J., Fu, Y., Duan, J., Cheng, Y., and Song, B., 2022: Evaluation of evapotranspiration under cloud impact over continental China using ground observations and multiple satellite optic and microwave measurements. Agricultural and Forest Meteorology,314,108806, https://doi.org/10.1016/j.agrformet.2021.108806. (SCI, Impact Factor=5.73)
37. Li, Gudongze, Haoming Chen, Mingyue Xu, Chun Zhao, Lei Zhong, Rui Li, Yunfei Fu, Yanhong Gao . 2022: Impacts of topographical complexity on modeling moisture transport and precipitation over the Tibet Plateau in summer. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-022-1409-7(SCI, Impact Factor=3.16)
38. Mengxiao Wang,Yunfei Fu,Chun Zhao,Lei Zhong,Rui Li,Dongyong Wang,Xuexing Qiu,Shengnan Zhou, 2022:Characteristics of summer cloud precipitation along latitude 30°N in East Asia derived from TRMM PR and VIRS measurements，International Journal of Climatology, https://doi.org/10.1002/joc.7538 (SCI, Impact Factor=4.07)
39. Zhao, Y., Zhong, L.*,Yuan, R., Zhao, C., Li, R., Wang, Y., Lian, Y. and Richardson, M., 2021: Simulation of Martian Dust Effects on Polar CO2 Ice Caps and Atmospheric Circulation using the MarsWRF Model. Journal of Geophysical Research: Planets,
40. https://doi.org/10.1029/2021JE006937. (SCI, Impact Factor=3.76)
41. Wang, Y.P., Li, R.*, Hu, J., Fu, Y., Duan, J., Cheng, Y., and Song, B.，2021：Understanding the non-linear response of summer evapotranspiration to clouds in a temperate forest under the impact of vegetation water content. Journal of Geophysical Research: Atmospheres, 126, e2021JD035239. https://doi.org/10.1029/2021JD035239 (SCI, Impact Factor=4.26)
42. Wang, Z., Huang J., Ryzhkova, N., Li, J., Kryshen A., Voronin, V., Li, R., Bergeron, Y. and Drobyshev, I., 2021: 352 years long fire history of a Siberian boreal forest and its primary driving factor. Global and Planetary Change, 207, 103653, https://doi.org/10.1016/j.gloplacha.2021.103653 (SCI, Impact Factor=5.11)
43. Wang, Y.P. , R., Li*, J. Hu, Y. Fu, J. Duan, and Y. Cheng, 2021: Daily estimation of gross primary production under all sky using a light use efficiency model coupled with satellite passive microwave measurements, Remote Sensing of Environment, 267, 112721, https://doi.org/10.1016/j.rse.2021.112721 (SCI, Impact Factor=13.85).
44. Hu, J.; Fu, Y.; Zhang, P.; Min, Q.; Gao, Z.;Wu, S.; Li, R*.2021: Satellite Retrieval of Microwave Land Surface Emissivity under Clear and Cloudy Skies in China Using Observations from AMSR-E and MODIS. Remote Sens. 2021, 13, 3980. https://doi.org/10.3390/rs13193980 (SCI, Impcat Factor=5.349)
45. Xu, M., Zhao, C.*, Gu, J., Feng, J., Hagos, S., Leung, Li. R., et al. 2021: Convection-permitting hindcasting of diurnal variation of Mei-yu rainfall over East China with a global variable-resolution model. Journal of Geophysical Research: Atmospheres, 126, e2021JD034823. https://doi.org/10.1029/2021JD034823 (SCI, Impcat Factor=4.26)
46. Sun, N., Fu, Y.F.*, Zhong, L., Zhao, C., and Li, R., 2021: The impact of convective overshooting on the thermal structure over the Tibetan Plateau in summer based on TRMM, COSMIC, radiosonde and reanalysis data. Journal of Climate, https://doi.org/10.1175/JCLI-D-20-0849.1 (SCI, Impcat Factor=5.15)
47. Chen, X., Jiang, Z.*, Shen, Y., Li, R., Fu, Y., Liu, J.*, Han, H., Liao, H.*, Cheng, X., Jones, D., Worden, H., and González Abad, G. 2021: Chinese regulations are working - why is surface ozone over industrialized areas still high? Applying lessons from Northeast US air quality evolution, Geophys. Res. Lett., 48, e2021GL092816, https://doi.org/10.1029/2021GL092816, 2021. (SCI, Impact Factor = 4.72)
48. Wang, Y.P. +, R., Li+, J. Hu, X.W., Wang, C., Kabeja, Q., Min, Y., Wang*, 2021: Evaluations of MODIS and microwave based satellite evapotranspiration products under varied cloud conditions over East Asia forests, Remote Sensing of Environment, 264, 112606, https://doi.org/10.1016/j.rse.2021.112606 (SCI, Impact Factor=13.85).
49. Zhang Yuxiang+, Bo Haixu+, Jiang Zhe+, Wang Yu, Fu Yunfei, Cao Bingwei, Wang Xuewen, Chen Jiaqi, Li Rui*,2021: Untangle contributions of meteorology condition and human mobility to tropospheric NO2 in Chinese mainland during COVID-19 pandemic in early 2020, National Science Review, 2021; nwab061, https://doi.org/10.1093/nsr/nwab061(SCI, Impact Factor=23.18)
50. 李锐, 傅云飞, 黄辰，2021：卫星遥感降水潜热的查表法和物理反演法简介，暴雨灾害, 40(3): 259-270.
51. Li Rui, Fu Yunfei, Huang Chen，2021：Review of satellite retrieval of latent heating released from precipitation by Look-Up Table and physical retrieval methods. Torrential Rain and Disasters, 40(3): 259-270.
52. 胡继恒，李锐*，王雨，王怿璞，符玉云,2020：卫星遥感多通道微波比辐射率植被指数（EDVI）在不同类型植被区的特点比较,2020, 中国科学技术大学学报，50(4):528-541. doi:10.3969/j.issn.0253-2778.2020.04.016
53. Fu, Y.; Li, R*.; Wang, X.; Bergeron, Y.; Valeria, O.; Chavardès, R.D.; Wang, Y.; Hu, J. 2020: Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products. Remote Sens. 12, 2870. https://doi.org/10.3390/rs12182870 (SCI, Impact Factor=4.12)
54. Zhang, M., Zhao, C., Cong, Z., Du, Q., Xu, M., Chen, Y., Chen, M., Li, R., Fu, Y., Zhong, L., Kang, S., Zhao, D., and Yang, Y. 2020: Impact of topography on black carbon transport to the southern Tibetan Plateau during the pre-monsoon season and its climatic implication, Atmos. Chem. Phys., 20, 5923–5943, https://doi.org/10.5194/acp-20-5923-2020, 2020. (SCI, Impact Factor=5.51)
55. Kabeja, C.; Li, R*.; Guo, J.; Rwatangabo, D.E.R.; Manyifika, M.; Gao, Z.; Wang, Y.; Zhang, Y.,2020: The Impact of Reforestation Induced Land Cover Change (1990–2017) on Flood Peak Discharge Using HEC-HMS Hydrological Model and Satellite Observations: A Study in Two Mountain Basins, China. Water, 12, 1347. (SCI, Impact Factor=2.54)
56. Li, R., Y.-P. Wang, J. Hu, Y. Wang*, Q. Min, Y. Bergeron, O. Valeria, Z. Gao, J. Liu, and Y. Fu, 2020: Spatiotemporal Variations of Satellite Microwave Emissivity Difference Vegetation Index in China under Clear and Cloudy Skies, Earth and Space Science, 7, e2020EA001145. https://doi.org/10.1029/2020EA001145(SCI, Impact Factor=2.35)
57. Wu, B. Y. Wang, C, Zou, R. Li, S. Liu, G. Liu and F. Fu, 2020: A Fundamental Climate Data Record Derived from AMSR-E, MWRI, and AMSR2, IEEE Transactions on Geoscience and Remote Sensing. doi: 10.1109/TGRS.2020.2966055 (SCI, Impact Factor=5.63)
58. Zhang, Y; Wang, Y; Liu, GS; Guo, JP; Yang, YJ; Li, R; Fu, YF; Liu, LP, 2019：Satellite-Based Assessment of Various Cloud Microphysics Schemes in Simulating Typhoon Hydrometeors, Advances in Meteorology, Vol 2019, ID 3168478, doi: https://doi.org/10.1155/2019/3168478
59. Wang, Y.P., Li, R*., Min, Q, Fu, Y, Wang, Y., Zhong, L., and Fu, Y.-Y., 2019: A Three-source Satellite Algorithm for Retrieving All-sky Evapotranspiration Rate using Combined Optical and Microwave Vegetation Index at Twenty AsiaFlux Sites, Remote Sensing of Environment, 235, 111463, https://doi.org/10.1016/j.rse.2019.111463 (SCI, Impact Factor=13.85)
60. Li, R*., W. Shao, J. Guo, Y. Fu, G. Liu, Y. Wang, W. Li, 2019: A Simplified Algorithm to Estimate Latent Heating Rate Using Vertical Rainfall Profiles over the Tibetan Plateau, J. Geophys. Res. Atmos.,124,DOI: https://doi.org/10.1029/2018JD029297 (SCI, Impact Factor= 3.44)
61. Yuxiang Zhang, Rui Li*, Qilong Min, Haixu Bo, Yuyun Fu, Yipu Wang, and Zongting Gao, 2019: The controlling factors of atmospheric formaldehyde (HCHO) in Amazon as seen from satellite, Earth and Space Science 6. https://doi.org/10.1029/2019EA000627, (SCI, Impact Factor= 3.22)
62. Yipu Wang, Rui Li* , Qilong Min, Leiming Zhang, Guirui Yu, Yves Bergeron. 2019: Estimation of vegetation evapotranspiration rate over three forest sites in ChinaFLUX using satellite microwave vegetation water content index, Remote Sensing, 11,1359, DOI：10.3390/rs11111359,(SCI, Impact Factor= 4.12 )
63. Li, R., H.-X. Bo, Y. Wang, 2019: Slowing-down reduction and Possible Reversal Trend of Tropospheric NO2 over China during 2016 to 2019, arXiv:1907.06525v1
64. Wang, R., Xian, T., Wang, M., Chen, F., Yang, Y., Zhang, X. Li, R., Zhong, L., Zhao, C. Fu, Y.* 2019: Relationship between Extreme Precipitation and Temperature in Two Different Regions: The Tibetan Plateau and Middle-East China. J Meteorol Res 33, 870–884. https://doi.org/10.1007/s13351-019-8181-3
65. Fu Yuyun, R. Li*, Jianguo Huang, Yves Bergeron, Yunfei Fu, Yu Wang, and Zongting Gao, 2018：Satellite observed impacts of wildfires on regional atmosphere composition and the shortwave radiative forcing: A multiple case study, J. Geophys. Res. Atmos., 123，8326-8343. Doi: https://doi.org/10.1029/2017JD027927. (SCI, Impact Factor= 3.44)
66. Dong, X., R. Li*, Y. Wang, Y. Fu and C. Zhao, 2018: Potential Impacts of Sahara Dust Aerosol on Rainfall Vertical Structure over the Atlantic Ocean as Identified from EOF Analysis, J. Geophys. Res. Atmos., 120，Doi: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018JD028500. (SCI, Impact Factor= 3.44)
67. Yu Lu, Yunfei Fu*,Yuanjian Yang* , R. Li, Xuexing Qiu, Hongke Cai. 2018: Assessment of Longwave Radiative Forcing of Nighttime Cirrus based on CloudSat and CALIPSO Measurements and Singlecolumn RadiativeTransfer Simulations，Journal of Quantitative Spectroscopy and Radiative Transfer, DOI: 10.1016/j.jqsrt.2018.09.019. (SCI, Impact Factor= 2.38)
68. Yunfei Fu, Xiao Pan, Tao Xian, Guosheng Liu, Lei Zhong, Qi Liu, Rui Li, Yu Wang, Ming Ma，2018：Precipitation characteristics over the steep slope of the Himalayas in rainy season observed by TRMM PR and VIRS，Climate Dynamics，1-19，https://doi.org/10.1007/s00382-017-3992-3，(SCI, Impact Factor= 3.77)
69. 刘进军, 傅云飞, 李锐*, 王雨，符玉云，胡继恒. 2018：青藏高原云和大气对被动微波遥感积雪雪深的影响. 高原气象, 37(2): 305-316. DOI: 10.7522/j.issn.1000-0534.2017.00050
70. 王雨，韩涛，郭静超，江凯，李锐*，邵文程，刘国胜. 2018：星载Ku、Ka、W三频雷达探测云和降水三维结构的模拟仿真研究，科学通报, DOI：10.1360/N972018-00089 (EI)
71. 耿蓉,王雨,傅云飞,李锐,刘国胜2018：中国及其周边地区多种水凝物资料的气候态特征比较.气象学报, 76(1), 134-147
72. Wang, R., Y. Fu, T. Xian, F. Chen, R. Yuan, R. Li, and G. Liu, 2017: Evaluation of Atmospheric Precipitable Water Characteristics and Trends in Mainland China from 1995 to 2012. J. Climate, 30, 8673–8688, https://doi.org/10.1175/JCLI-D-16-0433.1 (SCI, Impact Factor= 4.16)
73. 李锐*, 李文卓, 傅云飞, 等 2017. 青藏高原ERA40 和NCEP 大气非绝热加热的不确定性. 科学通报, 62: 420–431 (EI)
74. Li, R*., X. Dong, J. Guo, Y. Fu, Y. Wang, Q. Min, 2017: The implications of dust ice nuclei effect on cloud top temperature in a complex mesoscale convective system, Scientific Reports，7：13826，doi:10.1038/s41598-017-12681-0 (SCI, Impact Factor= 4.25)
75. 李锐*，李俊伟，刘之杰，花家嘉，王雨，王文勇，2016，卫星遥感研究中国气溶胶光学厚度、NO2和SO2的相关性，科学通报，61, 2524 (2016 ); doi: 10.1360/N972016-00149 (EI)
76. 傅云飞,潘晓,刘国胜,李锐,仲雷.2016.基于云亮温和降水回波顶高度分类的夏季青藏高原降水研究[J].大气科学,40(1):102-120,doi:10.3878/j.issn.1006-9895.1507.15165
77. Fu Yunfei*, Chen Fengjiao, Liu Guosheng, Y. Yang, R. Yuan, R. Li, Q. Liu, Y. Wang, L. Zhong, L. Sun, 2016. Recent Trends of Summer Convective and Stratiform Precipitation in Mid-Eastern China, Scientific Reports, 6: 33044, doi:10.1038/srep33044. (SCI, Impact Factor= 4.25)
78. Li, R. *, J. Guo, Y. Fu, Q. Min, Y. Wang, X. Gao and X. Dong, 2015: Estimating the vertical profiles of cloud water content in warm rain clouds, J. Geophys. Res. Atmos., 120, doi:10.1002/2015JD023489. (SCI, Impact Factor= 3.44)
79. Wang, Y., Y. Zhang, Y. Fu, R. Li and Y. Yang, 2015: A climatological comparison of column-integrated water vapor for the third-generation reanalysis datasets, SCIENCE CHINA Earth Sciences, DOI: 10.1007/s11430-015-5183-6. (SCI, Impact Factor= 1.49)
80. Yin, B., S. Li, R. Li, Q. Min and M. Duan, 2015：Interannual variation of cloud optical properties at ACRF Manus and Nauru sites from MFRSR measurements, Journal of Quantitative Spectroscopy and Radiative Transfer, 153, 29-37. (SCI, Impact Factor= 2.38)
81. Li, R., H. Cai, Y. Fu, Y. Wang, Q. Min, J.-C. Guo and X. Dong, 2014: Optical properties and longwave radiative forcing in the lateral boundary of cirrus cloud, Geophysical Research Letter, 41, 3666-3675, doi: 10.1002/2014GL059432. (SCI, Impact Factor=4.25)
82. Min, Q., R. Li, B. Lin, E. Joseph, V. Morris, Y. Hu, S. Li, and S. Wang, 2014: Impacts of mineral dust on ice clouds in tropical deep convection systems, Atmospheric Research, 143, 64-72. (SCI, Impact Factor= 3.78)
83. Liu, X., Q. Liu, Y. Fu and R. Li, 2014: Daytime precipitation identification scheme based on multiple cloud parameters retrieved from visible and infrared measurements, SCIENCE CHINA-EARTH SCIENCES, 57, 2112-2124.(SCI, Impact Factor= 1.49)
84. Li., R. and Q. Min, 2013: Dynamic response of microwave land surface properties to precipitation in Amazon rainforest, Remote Sensing of Environment, 133, 183-192. (SCI, Impact Factor=13.85)
85. Min, Q., R. Li, X. Wu and Y. Fu, 2013: Retrieving Latent Heating Vertical Structure from Cloud and Precipitation Profiles – Part I: Warm Rain Processes, Journal of Quantitative Spectroscopy and Radiative Transfer, 122，31-46，doi:10.1016/ j.jqsrt.2012.11.030i. (SCI, Impact Factor= 2.38)
86. Li, R., Q. Min, X. Wu and Y. Fu, 2013: Retrieving Latent Heating Vertical Structure from Cloud and Precipitation Profiles – Part II: Deep Convective and Stratiform Rain Processes, Journal of Quantitative Spectroscopy and Radiative Transfer, 122,47-63, doi: 10.1016/j.jqsrt.2012.11.029. (SCI, Impact Factor= 2.38)
87. Fu, Y., Q. Liu, Y. Gao, X. Hong, Y. Zi, Y. Zheng, R. Li and Z. Heng, 2013: A feasible method for merging the TRMM microwave imager and precipitation radar data, Journal of Quantitative Spectroscopy and Radiative Transfer, 122, 155-169. (SCI, Impact Factore=2.38)
88. Li, R., Q. Min and Y. Fu, 2011, 1997/1998 El Nino Induced Changes in Rainfall Vertical Structure in East Pacific, J. Climate, 24, 6373–6391, doi: 10.1175/JCLI-D-11-00002.1 (SCI, Impact Factor= 4.8）
89. Lin, Y., Min, Q., Zhuang, G., Wang, Z., Gong, W., and Li, R., 2011: Spatial features of rain frequency change and pollution and associated aerosols, Atmospheric Chemistry and Physics, 11, 7715-7726, doi:10.5194/acp-11-7715-2011.（SCI, Impact Factor= 5.51）
90. Li, R., and Q.-L. Min, 2010: Impacts of mineral dust on the vertical structure of precipitation, J. Geophys. Res., 115, D09203, doi:10.1029/2009JD011925. (SCI, Impact Factor= 3.44)
91. Min, Q. and Li, R., 2010: Longwave indirect effect of mineral dusts on ice clouds, Atmospheric Chemistry and Physics, 10, 7753-7761, doi: 10.5194/acp-10-7753-2010. (SCI, Impact Factor= 5.51)
92. Li, R., Q., Min and L. C. Harrison, 2010, A case study: the indirect aerosol effects of mineral dust on warm clouds. Journal of the Atmospheric Sciences, 67: 805-816, doi: 10.1175/2009JAS3235.1, (SCI, Impact Factor= 3.6)
93. Min, Q., B. Lin and R. Li, 2010, Remote sensing vegetation hydrological states using passive microwave measurements. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 3,124-131 (SCI, Impact Factor= 2.83)
94. Gong, W., Min, Q., Li, R., Teller, A., Joseph, E., and Morris, V. 2010: Detailed cloud resolving model simulations of the impacts of Saharan air layer dust on tropical deep convection – Part 1: Dust acts as ice nuclei, Atmospheric Chemistry and Physics Discussion, 10, 12907-12952, doi: 10.5194/acpd-10-12907-2010.
95. 傅云飞,冯沙,刘鹏,曹爱琴,刘显通,李锐,刘奇,王雨，2010：热带测雨卫星测雨雷达探测的亚洲夏季积雨云云砧.气象学报, 2010, 68(2), 195-206
96. 傅云飞；刘奇；王雨；孙亮；李锐；马明；刘国胜, 2010: 热带测雨卫星搭载的仪器及其探测结果在降水分析中的应用, 中国工程科学，14，43-50
97. Min, Q.-L., Li, R., Lin, B., Joseph, E., Wang, S., Hu, Y., Morris, V., and Chang, F. , 2009, Evidence of mineral dust altering cloud microphysics and precipitation, Atmospheric Chemistry and Physics, 9, 3223-3231. (SCI, Impact Factor= 5.51 )
98. Li, R., Q., Min and B. Lin, 2009, Estimation of evapotranspiration in a mid-latitude forest by using Microwave Emissivity Difference Vegetation Index (EDVI). Remote Sensing of Environment, 113, 2011-2018, doi: 10.1016/j.rse.2009.05.007 (SCI, Impact Factor= 13.85)
99. 傅云飞，冯静夷，朱红芳，李锐，刘栋，2005,西太平洋副热带高压下热对流降水结构特征的个例分析，气象学报, 63(5), 750-761.
100. Fu Y., G. Liu, G. Wu, R. Yu, Y. Xu, Y. Wang, R. Li, Q. Liu, 2006, Tower mast of precipitation over the central Tibetan Plateau summer, Geophys. Res. Lett., 33, L05802, doi:10.1029/2005GL024713. (SCI, Impact Factor= 4.25)
101. Li, R.，Y. Fu, 2005, Tropical precipitation estimated by GPCP and TRMM PR observations, Adv. Atmos. Sci., 22, 852-864. (SCI, Impact Factor= 1.86)
102. 李锐，傅云飞，赵萍，利用热带测雨卫星的测雨雷达资料对1997/1998 年EL Nino 后期热带太平洋降水结构的研究，大气科学，2005，29，225-235.
103. 李锐，傅云飞，GPCP和TRMM PR热带月平均降水的差异分析，气象学报. 63, 146-160.