1. 2022.12-2026.6，国家重点研发计划项目“面向碳盘点的下一代全球碳监测科学实验卫星”，子课题负责人

2. 2021.12-2023.12，国家重点研发计划项目“下一代碳卫星技术方案研究”，子课题负责人

3. 2017.7-2020.12，国家重点研发计划项目“我国大气污染的慢性健康风险研究”，子课题负责人

4. 2019.1至2022.12，中国科学院先导项目子课题专题“CASEarth小卫星微光-多谱段载荷LED星上定标及在轨测试”，负责人

5. 2024.1至2029.12，国家自然基金面上项目“协同多源卫星观测的棕色碳遥感反演和排放估算研究” ，项目负责人

6. 2019. 1-2022.12, 国家自然基金面上项目“协同多源卫星观测的棕色碳遥感反演和排放估算研究” ，项目负责人

7. 2016.1-2018.12，国家自然基金青年项目“中国地区气溶胶散射对短波近红外CO2遥感探测影响研究”，项目负责人

8. 2020.8-2023.7，黑龙江省应用技术研究与开发计划项目“黑龙江大兴安岭雷击森林火灾预警预报系统研发”，课题负责人

9. 2022.01-2023.12，电网委托项目“基于“星-空-地”立体化输电线路山火监测预警技术”，项目负责人

10. 2018.7-2020.12，电网委托项目“基于新一代极轨和静止卫星的山火小火点遥感监测识别模型研究”，项目负责人

[1]Wang H, Fan M*, Jiao S, et al. An Improved Aerosol Retrieval Algorithm for FY-4A/AGRI Data Based on the GRASP Framework[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025.

[2]Han Z, Fan M*, Song S, et al. An Improved Hybrid GC-LSTM Framework for Hourly Nowcasting of Ground-Level NO2 Concentrations over Beijing-Tianjin-Hebei Region[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024.

[3]Xu B, Fan M*, Lu X, et al. Light absorption properties and source contributions of black and brown carbon in Guangxi, southern China[J]. Atmospheric Research, 2024, 302: 107317.

[4]Fan M, Chen L, Xiong X, et al. Scattering properties of soot-containing particles and their impact by humidity in 1.6 μm[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2014, 134: 91-103.

[5]Fan M, Chen L, Cheng L, et al. Optical properties of chain-like soot with water coatings[J]. Particuology, 2019, 47: 94-103.

[6]Fan M, Chen L F, Li S S, et al. Scattering properties of polluted dust in 1.6-μm wavelength[J]. Chinese Physics B, 2014, 23(10): 104203

[7]Fan M, Chen L, Li S, et al. The effects of morphology and water coating on the optical properties of soot aggregates[J]. Aerosol and Air Quality Research, 2016, 16(5): 1315-1326.

[8]范萌, 陈良富, 李莘莘, 等. 非球形气溶胶粒子短波红外散射特性研究[J]. 物理学报, 2012, 61(20): 260-270.

[9]Zeng Q, Li M, Fan M*, et al. Estimating 1-km PM2. 5 concentrations based on a novel spatiotemporal parallel network STMSPNet in the Beijing-Tianjin-Hebei region[J]. Atmospheric Environment, 2024, 338: 120796.

[10]Zeng Q, Cao Y, Fan M*, et al. Fine particulate matter concentration prediction based on hybrid convolutional network with aggregated local and global spatiotemporal information: A case study in Beijing and Chongqing[J]. Atmospheric Environment, 2024: 120647.

[11]Li Z, Fan M*, Tao J, et al. Impacts of Spatial Resolution and XCO2 Precision on Satellite Capability for CO2 Plumes Detection[J]. Sensors, 2024, 24(6): 1881.

[12]Wang Y, Zhang X, Zhou P, & Fan M*. Empirical Correlation Weighting (ECW) Spatial Interpolation Method for Satellite Aerosol Optical Depth Products by MODIS AOD over Northern China in 2016[J]. Remote Sensing, 2023, 15(18): 4462.

[13]Jiao Q, Fan M*, Tao J, et al. Forest fire patterns and lightning-caused forest fire detection in Heilongjiang Province of China using satellite data[J]. Fire, 2023, 6(4): 166.

[14]Jiao S, Li M, Fan M*, et al. Validation and Analysis of MISR and POLDER Aerosol Products over China[J]. Remote Sensing, 2022, 14(15): 3697.

[15]Chen Y, Fan M*, Li M, et al. Himawari-8/AHI aerosol optical depth detection based on machine learning algorithm[J]. Remote Sensing, 2022, 14(13): 2967.

[16]Chi Y, Fan M, Zhao C, et al. Machine learning-based estimation of ground-level NO2 concentrations over China[J]. Science of The Total Environment, 2022, 807: 150721.

[17]Chi Y, Fan M, Zhao C, et al. Ground-level NO2 concentration estimation based on OMI tropospheric NO2 and its spatiotemporal characteristics in typical regions of China[J]. Atmospheric Research, 2021, 264: 105821.

[18]Yang F, Fan M*, Tao J. An improved method for retrieving aerosol optical depth using gaofen-1 wfv camera data[J]. Remote Sensing, 2021, 13(2): 280.

[19]Wu T, Fan M*, Tao J, et al. Aerosol optical properties over China from RAMS-CMAQ model compared with CALIOP observations[J]. Atmosphere, 2017, 8(10): 201.