安徽桐城人，教授，博导，国家WR“科技创新领军人才”、中科院百人计划“引进国外杰出人才”。2005年博士毕业于图书馆VIP地空学院，2006-2013在State University of New York任Full ResearchScientist。现任图书馆VIP，地球和空间科学学院副院长；火灾科学国家重点实验室双聘教授；深空探测实验室（天都）双聘研究员；加拿大魁北克大学森林研究所兼职教授、博导（2016-2023）；世界气象组织（WMO）天气研究计划（WWRP）中国委员会委员、观测新技术科学工作组组长、国际气象学和大气科学协会（IAMAS）中国委员会委员、教育部大气科学教学指导委员会委员、安徽省气象学会副理事长。
主要研究气候系统中的碳、水循环及相应能量平衡过程，致力于发展先进的多源卫星遥感方法和数据集；并将其应用于气候系统研究。目前工作重点：1）发展森林植被含水量的多源卫星遥感方法，并将其应用于大区域森林蒸腾率估算、森林火灾相关研究； 2）利用卫星遥感和模式模拟研究沙尘和火灾释放气溶胶对大气的影响；3）发展降水潜热垂直廓线的物理反演算法，并以此理解潜热对区域天气、大尺度大气环流的影响
Dr. Li got his Ph.D. in University ofScience and Technology of China (USTC) in 2005. He joined the school of Earthand Space Sciences (ESS) of USTC in 2013. Before that, he was a full researchscientist in the State University of New York. He was honored as the “Professorof Hundred-Talent Program of Chinese Academy of Sciences” and the “SpeciallyRecruited Experts of Anhui Province in China” in 2013.
Dr. Li serves as the full professor anddeputy dean of ESS USTC; the professor of the State Key Laboratory of Fire Science; the adjunct professor of University of Quebecin Abitibi, Canada; the member of China National Committee for WMO WorldWeather Research Programee (WWRP), the member of China National Committee for InternationalAssociation of Meteorology and Atmospheric Sciences (IAMAS), the member ofChina National Administry Committee on Teaching Atmospheric Science in HigherEducation, and the council member of the Anhui Meteorology Society.
His research has been focusing on thewater cycle and energy balance processes in the Earth’s climate system, anddevote to the development of advanced satellite remote sensing methods anddatasets; and apply them to climate system research. Current work focus:
1) Developing visible/infrared/microwavecombined satellite remote sensing methods for forest vegetation moisturecontent, and apply them to large area forest transpiration and forest firerelated research;
2) Using satellite remote sensing andmodel simulations to study the impacts of mineral dust and fire releasedaerosols on atmosphere;
3) Developing the physical satellitealgorithm of the vertical profile of precipitation latent heat, and use this tounderstand the influence of latent heat on regional weather and large-scaleatmospheric circulation
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)
1. National Natural Science Foundation of China, Key Program
“Studies of Satellite Retrieving LatentHeating Profiles in Chinese Rainy Season Based on Spacborne Dual-frequencies PrecipitationRadar Measurements”: 2,990,000 RMB, 2019-2023
2. National Key Research and Development Program of China
“Studies of the Mechanisms of AerosolAffecting Clouds and Precipitation at Different Evolution Statges and thePotential Feedbacks”: 3,990,000 RMB, 2018-2021
3. Belmont Forum- National Natural Science Foundation ofChina, InternationalCoopertive Program “Improving PREdictability of circumboREAL Forest FireActivity and its Ecological and Socio-Economic Impacts through Multi-Proxy DataComparisons”, 2,390,000 RMB, 2016-2020
4. National Natural Science Foundation of China, Key Program
'Research on theprinciple and method of remote sensing of combustible characteristics of forestvertical stratification in complex environment', 1,810,000 RMB, 2021-2024
5. General Program of National Natural Science Foundation ofChina
“Research on Satellite Passive MicrowaveBayesian Inversion of China's Land Precipitation under Surface SpecificEmissivity Constraints', 550,000 RMB, 2023-2026
6. General Program of National Natural Science Foundation ofChina
“Studies of the Dynamic Response ofMicrowave Land Surface Emissivity to Cloud and Rain in China”, 680,000 RMB,2017-2020
7. General Program of National Natural Science Foundation ofChina
“Satellite Observational Studies ofAerosol Indirect Effects om the Vertical Structure of Precipitation in China”,830,000 RMB, 2014-2017
8. General Program of National Natural Science Foundation ofChina, Youth Program
'Research on the characteristics ofvertical structure of falling water under the background of climateanomalies', 270,000 yuan, 2007-2009
1. 大气科学进展，本科
Advances in Atmospheric Science
(Seminar for Undergraduate Students)
2. 微波遥感（英文课），研究生
Passive MicrowaveRemote Sensing of Atmosphere
(Graduated Student，Teaching Language: English)
² 世界气象组织（WMO）天气研究计划（WWRP）中国委员会委员、观测新技术科学工作组组长
² 国际气象学和大气科学协会（IAMAS）中国委员会委员
² 教育部大气科学教学指导委员会委员
² 安徽省气象学会副理事长。
² 加拿大魁北克大学森林研究所兼职教授、博导（2016-2023）
² 风云降水卫星科学应用专家委员会秘书长
发表文章
1. 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
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
2. 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）
3. 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）
4. 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）
5. 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)
6. 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)
7. 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)
8. 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)
9. 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
10. 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
11. 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)
12. 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)
13. 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.
14. 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)
15. 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)
16. 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).
17. 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)
18. 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)
19. 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)
20. 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)
21. 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)
22. 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)
23. 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,
https://doi.org/10.1029/2021JE006937. (SCI, Impact Factor=3.76)
24. 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)
25. 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)
26. 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).
27. 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)
28. 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)
29. 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)
30. 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)
31. 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).
32. 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)
33. 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.
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.
34. 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, 图书馆VIP学报，50(4):528-541. doi:10.3969/j.issn.0253-2778.2020.04.016
35. 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)
36. 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)
37. 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)
38. 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)
39. 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)
40. 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
41. 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)
42. 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)
43. 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)
44. 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 )
45. 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
46. 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
47. 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)
48. 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)
49. 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)
50. 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)
51. 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
52. 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)
53. 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
54. 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)
55. 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)
56. 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)
57. 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)
58. 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
59. 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)
60. 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)
61. 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)
62. 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)
63. 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)
64. 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)
65. 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)
66. 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)
67. 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)
68. 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)
69. 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)
70. 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）
71. 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）
72. 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)
73. 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)
74. 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)
75. 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)
76. 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.
77. 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
78. 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
79. 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 )
80. 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)
81. 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.
82. 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)
83. 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)
84. 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.
85. 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.