Education Ph.D., 1991, Dept. of Atmos. & Ocean. Sci., McGill University, Canada M.Sc., 1986, Dept. of Meteorology, Nanjing Institute of Meteorology, China B.Sc.,
1983, Dept.
of Meteorology, Nanjing Institute of Meteorology, China Employment Visiting Professor, 2008 Fall, CCSR, University of Tokyo, Japan. Professor, 2001-present, Dept. of Atmos. & Oceanic Sci., University of Maryland. Research Scientist,1992-2000, Canada Centre for Remote Sensing. Postdoctoral Fellow,1991-1992, Meteorological Service of Canada. Meteorologist, 1986-1987, China Meteorological Adminstration. ![]() ![]()
Current AOSC Graduate Students:
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Funded Projects:
U.S. Dept. of Energy: NASA: NSF: NOAA: GOES-R Science team (2005-) Joint Center for Satellite Data Assimilation team (2006-) Adjunct Professorship: Dalhousie University Institute of Atmospheric Physics Nanjing University Beijing Normal University Institute of Remote Sensing Applications |
Awards and Recognitions:
Fellowships:
National and International Awards:
Sector Awards:
Authorship Awards & Recognitions:
Distinctions:
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Publications (367 in total, 148 since 2016) Jin, X., Z. Li, T. Wu, Y. Wang, Y. Cheng, T. Su, J. Wei, R. Ren, H. Wu, S. Li, D. Zhang, and M. C. Cribb, 2022: The different sensitivities of aerosol optical properties to particle concentration, humidity, and hygroscopicity between the surface level and the upper boundary layer in Guangzhou, China, Sci. Total Environ., 803, doi:10.1016/j.atmosenv.2021.118723. Supplement Wang, F., Z. Li, D. Zhao, X. Ma, Y. Gao, J. Sheng, P. Tian, and M. C. Cribb, 2022: An airborne study of the aerosol effect on the dispersion of cloud droplets in a drizzling marine stratocumulus cloud over eastern China, Atmos. Res., 265, doi:10.1016/j.atmosres.2021.105885. Supplement Chen, T., Z. Li, R. A. Kahn, C. Zhao, D. Rosenfeld, J. Guo, W. Han, and D. Chen, 2021: Potential impact of aerosols on convective clouds revealed by Himawari-8 observations over different terrain types in eastern China, Atmos. Chem. Phys., 21, 6199-6220, doi:10.5194/acp-21-6199-2021. Supplement Du, W., L. Dada, J. Zhao, X. Chen, K. R. Daellenbach, C. Xie, W. Wang, Y. He, J. Cai, L. Yao, Y. Zhang, Q. Wang, W. Xu, Y. Wang, G. Tang, X. Cheng, T. V. Kokkonen, W. Zhou, C. Yan, B. Chu, Q. Zha, S. Hakala, M. Kurrpa, Leena Jarvi, Y. Liu, Z. Li, and Coauthors, 2021: A 3D study on the amplification of regional haze and particle growth by local emissions, NPJ Clim. Atmos. Sci., 4:4, doi:10.1038/s41612-020-00156-5.
Jiang, S., F. Zhang, J. Ren, L. Chen, X. Yan, J. Liu, Y. Sun, and Z. Li, 2021: Evaluation of the contribution of new particle formation to cloud droplet number concentration in the urban atmosphere, Atmos. Chem. Phys., 21, 14,293-14,308, doi:10.5194/acp-21-14293-2021.
Liu, J., F. Zhang, W. Xu, L. Chen, J. Ren, S. Jiang, Y. Sun, and Z. Li, 2021: A large impact of cooking organic aerosol (COA) on particle hygroscopicity and CCN activity in urban atmosphere, J. Geophys. Res. Atmos., 126, e2020JD033628, doi:10.1029/2020JD033628. Supplement Manoj, M. G., S.-S. Lee, and Z. Li, 2021: Competing aerosol effects in triggering deep convection over the Indian Region, Clim. Dyn., doi:10.1007/s00382-020-05561-3.
Ren, R., Z. Li, P. Yan, Y. Wang, H. Wu, M. C. Cribb, W. Wang, X. Jin, Y. Li, and D. Zhang, 2021: The effect of aerosol chemical composition on light scattering due to the hygroscopic swelling effect, Atmos. Chem. Phys., 21, 9977-9994, doi:10.5194/acp-21-9977-2021. Supplement Wang, Y., J. Wang, Z. Li, X. Jin, Y. Sun, M. C. Cribb, R. Ren, M. Lv, Q. Wang, Y. Gao, R. Hu, Y. Shang, and W. Gong, 2021: Contrasting aerosol growth potential in the northern and central-southern regions of the North China Plain: implications for combating regional pollution, Atmos. Environ., 267, doi:10.1016/j.atmosenv.2021.118723. Supplement Wang, Y., Z. Li, Q. Wang, X. Jin, P. Yan, M. C. Cribb, Y. Li, C. Yuan, H. Wu, T. Wu, R. Ren, and Z. Cai, 2021: Enhancement of secondary aerosol formation by reduced anthropogenic emissions during Spring Festival 2019 and enlightenment for regional PM2.5 control in Beijing, Atmos. Chem. Phys., 21, 915-926, doi:10.5194/acp-21-915-2021. Supplement Wei, J., Z. Li, L. Sun, W. Xue, Z. Ma, L. Liu, T. Fan, and M. C. Cribb, 2021: Extending the EOS long-term PM2.5 data records since 2013 in China: application to the VIRS Deep Blue aerosol products, IEEE Trans. Geosci. Remote Sens., doi:10.1109/TGRS.2021.3050999. Wei, J., Z. Li, R. T. Pinker, J. Wang, L. Sun, W. Xue, R. Li, and M. C. Cribb, 2021: Himawari-8-derived diurnal variations in ground-level PM2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM), Atmos. Chem. Phys., 21, 7863-7880, doi:10.5194/acp-21-7863-2021.
Wei, J., Z. Li, W. Xue, L. Sun, T. Fan, L. Liu, T. Su, and M. C. Cribb, 2021: The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China, Environ. Int., 146, 106290, doi:10.1016/j.envint.2020.106290.
Wei, J., Z. Li, A. Lyapustin, L. Sun, Y. Peng, W. Xue, T. Su, and M. C. Cribb, 2021: Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications, Remote Sens. Environ., 252, 112136, doi:10.1016/j.rse.2020.112136.
Wu, H., Z. Li, M. Jiang, C. Liang, D. Zhang, T. Wu, Y. Wang, and M. C. Cribb, 2021: Contributions of traffic emissions and new particle formation to the ultrafine particle size distribution in the megacity of Beijing, Atmos. Environ., 262, 118652, doi:10.1016/j.atmosenv.2021.118652.
Xian, T., Z. Li, and J. Wei, 2021: Changes in air pollution following the COVID-19 epidemic in northern China: the role of meteorology, Front. Environ. Sci., 9, doi:10.3389/fenvs.2021.654651.
Yan, X., Z. Zang, C. Liang, N. Luo, R. Ren, M. C. Cribb, and Z. Li, 2021: New global aerosol fine-mode fraction data over land derived from MODIS satellite retrievals, Environ. Pollut., 276, 116707, doi:10.1016/j.envpol.2021.116707.
Zhang, Y., J. Fan, Z. Li, and D. Rosenfeld, 2021: Impacts of cloud microphysics parameterizations on simulated aerosol-cloud interactions for deep convective clouds over Houston, Atmos. Chem. Phys., 21, 2363-2381, doi:10.5194/acp-21-2363-2021. Supplement Zheng, Y., Y. Zhu, D. Rosenfeld, and Z. Li, 2021: Climatology of cloud-top radiative cooling in marine shallow clouds, Geophys. Res. Lett., 48, e2021GL094676, doi:10.1029/2021GL094676. Supplement Zheng, Y., H. Zhang, and Z. Li, 2021: Role of surface latent heat flux in shallow cloud transitions: a mechanism-denial LES study, J. Atmos. Sci., 78, 2709-2723, doi:10.1175/JAS-D-20-0381.1.
Zheng, Y., D. Rosenfeld, and Z. Li, 2021: Sub-cloud turbulence explains cloud-base updrafts for shallow cumulus ensembles: first observational evidence, Geophys. Res. Lett., 48, e2020GL091881, doi:10.1029/2020GL091881.
Z. Li, 2020: Intensified investigations of East Asian aerosols and climate, Eos, 101, doi:10.1029/2020EO140980. Version in Chinese Benish, S. E., H. He, X. Ren, S. J. Roberts, R. J. Salawitch, Z. Li, F. Wang, Y. Wang, F. Zhang, M. Shao, S. Lu, and R. R. Dickerson, 2020: Measurement report: aircraft observations of ozone, nitrogen oxides, and volatile organic compounds over Hebei Province, China, Atmos. Chem. Phys., 20, 14,523-14,545, doi:10.5194/acp-20-14523-2020. Supplement Chen, L., F. Zhang, F. Yan, X. Wang, L. Sun, Y. Li, X. Zhang, Y. Sun, and Z. Li, 2020: The large proportion of black carbon (BC)-containing aerosols in the urban atmosphere, Environ. Pollut., 263, doi:10.1016/j.envpol.2020.114507. Fan, J., Y. Zhang, Z. Li, J. Hu, and D. Rosenfeld, 2020: Urbanization-induced land and aerosol impacts on sea breeze circulation and convective precipitation, Atmos. Chem. Phys., 20, 14,163-14,182, doi:10.5194/acp-2020-411. Fan, X., J. Liu, F. Zhang, L. Chen, D. Collins, W. Xu, X. Jin, J. Ren, Y. Wang, H. Wu, S. Li, Y. Sun, and Z. Li, 2020: Contrasting size-resolved hygroscopicity of fine particles derived by HTDMA and HR-ToF-AMS measurements between summer and winter in Beijing: the impacts of aerosol aging and local emissions, Atmos. Chem. Phys., 20, 915-929, doi:10.5194/acp-20-915-2020. Supplement Han, W., Z. Li, J. Guo, T. Su, T. Chen, J. Wei, and M. C. Cribb, 2020: The urban-rural heterogeneity of air pollution in 35 metropolitan regions across China, Remote Sens., 12, 2320, doi:10.3390/rs12142320.
Han, W., Z. Li, F. Wu, Y. Zhang, J. Guo, T. Su, M. C. Cribb, J. Fan, T. Chen, J. Wei, and S.-S. Lee, 2020: The mechanisms and seasonal differences of the impact of aerosols on the daytime surface urban heat island effect, Atmos. Chem. Phys., 20(11), 6479-6493, doi:10.5194/acp-20-6479-2020. Supplement He, H., H. Wang, Z. Guan, H. Chen, Q. Fu, M. Wang, X. Dong, C. Cui, L. Wang, B. Wang, G. Chen, Z. Li, and D.-L. Zhang, 2020: Facilitating international collaboration on climate change research, Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-19-0320.1.
Jin, X., Y. Wang, Z. Li, F. Zhang, W. Xu, Y. Sun, X. Fan, G. Chen, H. Wu, J. Ren, Q. Wang, and M. C. Cribb, 2020: Significant contribution of organics to aerosol liquid water content in winter in Beijing, China, Atmos. Chem. Phys., 20, 901-914, doi:10.5194/acp-20-901-2020. Supplement Junghenn Noyes, K., R. Kahn, A. Sedlacek, L. Kleinman, J. Limbacher, and Z. Li, 2020: Wildfire smoke particle properties and evolution, from space-based multi-angle imaging, Remote Sens., 12, 769, doi:10.3390/rs12050769. Supplement Junghenn Noyes, K., R. Kahn, J. Limbacher, Z. Li, M. A. Fenn, D. M. Giles, J. W. Hair, J. M. Katich, R. H. Moore, C. E. Robinson, K. J. Sanchez, T. J. Shingler, K. L. Thornhill, E. B. Wiggins, and E. L. Winstead, 2020: Wildfire smoke particle properties and evolution, from space-based multi-angle imaging. II. The Williams Flat Fire during the FIREX-AQ campaign, Remote Sens., 12, 3823, doi:10.3390/rs12223823. Lee, S.-S., G. Kablick III, Z. Li, C. H. Jung, Y.-S. Choi, J. Um, and W. J. Choi, 2020: Examination of the effects of aerosols on a pyroCb and their dependence on fire intensity and aerosol perturbation, Atmos. Chem. Phys., 20, 3357-3371, doi:10.5194/acp-20-3357-2020. Li, J., R. Kahn, J. Wei, B. Carlson, A. Lacis, Z. Li, X. Li, O. Dubovik, and T. Nakajima, 2020: Synergy of satellite- and ground-based aerosol optical depth measurements using an ensemble Kalman filter approach, J. Geophys. Res. Atmos., 125, e2019JD031884, doi:10.1029/2019JD031884. Supplement Liang, C., Z. Zang, Z. Li, and X. Yan, 2020: An improved global land anthropogenic aerosol product based on satellite retrievals from 2008 to 2016, IEEE Geosci. Remote Sens. Lett., doi:10.1109/LGRS.2020.2991730.
Liang, C.-S., H. Wu, H.-Y. Li, Q. Zhang, Z. Li, and K.-B. He, 2020: Efficient data preprocessing, episode classification, and source apportionment of particle number concentrations, Sci. Total Environ., 744, 140923, doi:10.1016/j.scitotenv.2020.140923.
Quaas, J., A. Arola, B. Cairns, M. Christensen, H. Deneke, A. M. L. Ekman, G. Feingold, A. Fridlind, E. Gryspeerdt, O. Hasekamp, Z. Li, and Coauthors, 2020: Constraining the Twomey effect from satellite observations: issues and perspectives, Atmos. Chem. Phys., 20, 15,079-15,099, doi:10.5194/acp-20-15079-2020.
Su, T., Z. Li, and R. Kahn, 2020: A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions, Remote Sens. Environ., 237, doi:10.1016/j.rse.2019.111519. Su, T., Z. Li, Y. Zheng, Q. Luan, and J. Guo, 2020: Abnormally shallow boundary layer associated with severe air pollution during the COVID-19 lockdown in China, Geophys. Res. Lett., 47, doi:10.1029/2020GL090041. Supplement Su, T., I. Laszlo, Z. Li, J. Wei, and S. Kalluri, 2020: Refining aerosol optical depth retrievals over land by constructing the relationship of spectral surface reflectances through deep learning: application to Himawari-8, Remote Sens. Environ., 251, 112093, doi:10.1016/j.rse.2020.112093.
Su, T., Z. Li, C. Li, J. Li, W. Han, C. Shen, W. Tan, J. Wei, and J. Guo, 2020: The significant impact of aerosol vertical structure on lower atmosphere stability and its critical role in aerosol-planetary boundary layer (PBL) interactions, Atmos. Chem. Phys., 20, 3713-3724, doi:10.5194/acp-20-3713-2020.
Wei, J., Z. Li, L. Sun, Y. Peng, L. Liu, L. He, W. Qin, and M. C. Cribb, 2020: MODIS Collection 6.1 3-km-resolution aerosol optical depth product: global evaluation and uncertainty analysis, Atmos. Environ., 240, 117768, doi:10.1016/j.atmosenv.2020.117768.
Wei, J., Z. Li, M. C. Cribb, W. Huang, W. Xue, L. Sun, J. Guo, Y. Peng, J. Li, A. Lyapustin, L. Liu, H. Wu, and Y. Song, 2020: Improved 1-km-resolution PM2.5 estimates across China using enhanced space-time extremely randomized trees, Atmos. Chem. Phys., 20, 3273-3289, doi:10.5194/acp-20-3273-2020.
Wei, J., W. Huang, Z. Li, L. Sun, X. Zhu, Q. Yuan, L. Liu, and M. C. Cribb, 2020: Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches, Remote Sens. Environ., 248, 112005, doi:10.1016/j.rse.2020.112005.
Wu, H., Z. Li, H. Li, K. Luo, Y. Wang, P. Yan, et al., 2020: The impact of the atmospheric turbulence-development tendency on new particle formation: a common finding on three continents, Natl. Sci. Rev., doi:10.1093/nsr/nwaa157.
Wu, T., Z. Li, J. Chen, Y. Wang, H. Wu, X. Jin, C. Liang, S. Li, W. Wang, and M. C. Cribb, 2020: Hygroscopicity of different types of aerosol particles: case studies using multi-instrument data in megacity Beijing, China, Remote Sens., 12, 785, doi:10.3390/rs12050785.
Yan, X., C. Liang, Y. Jiang, N. Luo, Z. Zang, and Z. Li, 2020: A deep learning approach to improve the retrieval of temperature and humidity profiles from a ground-based microwave radiometer, IEEE Trans. Geosci. Remote Sens., 58(12), doi:10.1109/TGRS.2020.2987896.
Yan, X., Z. Zang, N. Luo, Y. Jiang, and Z. Li, 2020: A new interpretable deep learning method to monitor real-time PM2.5 concentrations from satellite data, Environ. Int., 144, doi:10.1016/j.envint.2020.106060.
Zhang, J., Y. Zheng, Z. Li, X. Xia, and H. Chen, 2020: A 17-year climatology of temperature inversions above clouds over the ARM SGP site: the roles of cloud radiative effects, Atmos. Res., 237, doi:10.1016/j.atmosres.2019.104810. Zhang, L., W. Lau, W. Tao, and Z. Li, 2020: Large wildfires in the western US exacerbated by tropospheric drying linked to a multi-decadal trend in the expansion of the Hadley circulation, Geophys. Res. Lett., 47, e2020GL087911, doi:10.1029/2020GL087911. Supplement Zhao, P., Z. Li, H. Xiao, F. Wu, Y. Zheng, M. C. Cribb, X. Jin, and Y. Zhou, 2020: Distinct aerosol effects on cloud-to-ground lightning in the plateau and basin regions of Sichuan, Southwest China, Atmos. Chem. Phys., 20, 13,379-13,397, doi:10.5194/acp-20-13379-2020. Supplement Zheng, Y., D. Rosenfeld, and Z. Li, 2020: A more general paradigm for understanding the decoupling of stratocumulus-topped boundary layers: the importance of horizontal temperature advection, Geophys. Res. Lett., 47, doi:10.1029/2020GL087697. Zheng, Y., M. Sakradzija, S.-S. Lee, and Z. Li, 2020: Theoretical understanding of the linear relationship between convective updrafts and cloud-base height for shallow cumulus clouds. Part II: Continental conditions, J. Atmos. Sci., 77, 1313-1328, doi:10.1175/JAS-D-19-0301.1. Li, Z., Y. Wang, J. Guo, C. Zhao, M. C. Cribb, X. Dong, et al., 2019: East Asian Study of Tropospheric Aerosols and their Impact on Regional Clouds, Precipitation, and Climate (EAST-AIRCPC), J. Geophys. Res. Atmos., 124, doi:10.1029/2019JD030758. Chen, J., Z. Li, M. Lv, Y. Wang, W. Wang, Y. Zhang, H. Wang, X. Yan, Y. Sun, and M. Cribb, 2019: Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China, Atmos. Chem. Phys., 19, 1327-1342, doi:10.5194/acp-19-1327-2019. Chen, W., S. Bai, D. Wang, H. Zhao, H. Sun, L. Yi, H. Zhao, D. Xie, J. Peltoniemi, and Z. Li, 2019: Aerosol-induced changes in sky polarization pattern: potential hint on applications in polarimetric remote sensing, Int. J. Remote Sens., doi:10.1080/01431161.2019.1685724. Dong, D., W. Tao, W. K. M. Lau, Z. Li, G. Huang, and P. Wang, 2019: Interdecadal variation of precipitation over the Hengduan Mountains during rainy seasons, J. Climate, 32, 3743-3760, doi:10.1175/JCLI-D-18-0670.1. Supplement Guo, J., T. Su, D. Chen, J. Wang, Z. Li, Y. Lv, X. guo, H. Liu, M. C. Cribb, and P. Zhai, 2019: Declining summertime local-scale precipitation frequency over China and the United States: the disparate roles of aerosols, Geophys. Res. Lett., 46(22), 13,281-13,289, doi:10.1029/2019GL085442. Halliday, H. S., J. P. DiGangi, Y. Choi, G. S. Diskin, S. E. Pusede, M. Rana, J. B. Nowak, C. Knote, X. Ren, H. He, R. R. Dickerson, and Z. Li, 2019: Using short-term CO/CO2 ratios to assess air mass differences over the Korean peninsula during KORUS-AQ, J. Gephys. Res. Atmos., 124, 10,951-10,972, doi:10.1029/2018JD029697. Supplement Huang, G., Z. Li, X. Li, S. Liang, K. Yang, D. Wang, and Y. Zhang, 2019: Estimating surface solar irradiance from satellites: past, present, and future perspectives, Remote Sens. Environ., 233, doi:10.1016/j.rse.2019.111371. Li, J., H. Chen, Z. Li, P. Wang, X. Fan, W. He, and J. Zhang, 2019: Analysis of low-level temperature inversions and their effects on aerosols in the lower atmosphere, Adv. Atmos. Sci., 36(11), 1235-1250, doi:10.1007/s00376-019-9018-9. Liu, J., and Z. Li, 2019: Aerosol properties and their influences on low warm clouds during the Two-Column Aerosol Project, Atmos. Chem. Phys., 19, 9515-9529, doi:10.5194/acp-19-9515-2019. Liu, J., F. Weng, and Z. Li, 2019: Satellite-based PM2.5 estimation directly from reflectance at the top of the atmosphere using a machine learning algorithm, Atmos. Environ., 208, 113-122, doi:10.1016/j.atmosenv.2019.04.002. Supplement Liu, J., F. Weng, Z. Li, and M. C. Cribb, 2019: Hourly PM2.5 estimates from a geostationary satellite based on an ensemble learning algorithm and their spatiotemporal patterns over central East Asia, Remote Sens., 11, doi:10.3390/rs11182120. Supplement Liu, L., J. Guo, H. Gong, Z. Li, W. Chen, R. Wu, L. Wang, H. Xu, J. Li, D. Chen, and P. Zhai, 2019: Contrasting influence of Gobi and Taklimakan deserts on the dust aerosols in western North America, Geophys. Res. Lett., 46, 9064-9071, doi:10.1029/2019GL083508.
Luo, N., W. Shi, C. Liang, Z. Li, H. Wang, W. Zhao, Y. Zhang, Y. Wang, Z. Li, and X. Yan, 2019: Characteristics of atmospheric fungi in particle growth events along with new particle formation in the central North China Plain, Sci. Total Environ., 683, 389-398, doi:10.1016/j.scitotenv.2019.05.299.
Shen, L., C. Zhao, Z. Ma, Z. Li, J. Li, and K. Wang, 2019: Observed decrease of summer sea-land breeze in Shanghai from 1994 to 2014 and its association with urbanization, Atmos. Res., 227, 198-209, doi:10.1016/j.atmosres.2019.05.007. Wang, F., Z. Li, Q. Jiang, G. Wang, S. Jia, J. Duan, and Y. Zhou, 2019: Evaluation of hygroscopic cloud seeding in liquid-water clouds: a feasibility study, Atmos. Chem. Phys., 19, 14,967-14,977, doi:10.5194/acp-19-14967-2019. Supplement Wang, Y., Z. Li, R. Zhang, X. Jin, W. Xu, X. Fan, H. Wu, F. Zhang, Y. Sun, Q. Wang, M. C. Cribb, and D. Hu, 2019: Distinct ultrafine- and accumulation-mode particle properties in clean and polluted urban environments, Geophys. Res. Lett., 46, 10,918-10,925, doi:10.1029/2019GL084047. Supplement Wang, Y., S. Dörner, S. Donner, S. Böhnke, I. De Smedt, R. R. Dickerson, Z. Dong, H. He, Z. Li, Z. Q. Li, D. Li, D. Liu, X. Ren, N. Theys, Y. Y. Wang, Y. Wang, Z. Wang, H. Xu, J. Xu, and T. Wagner, 2019: Vertical profiles of NO2, SO2, HONO, HCHO, CHOCHO and aerosols derived from MAX-DOAS measurements at a rural site in the central western North China Plain and their relation to emission sources and effects of regional transport, Atmos. Chem. Phys., 19, 5417-5449, doi:10.5194/acp-19-5417-2019. Supplement Wei, J., Z. Li, J. Guo, L. Sun, W. Huang, W. Xue, T. Fan, and M. C. Cribb, 2019: Satellite-derived 1-km-resolution PM1 concentrations from 2014 to 2018 across China, Environ. Sci. Tech., 53, 13,265-13,274, doi:10.1021/acs.est.9b03258. Wei, J., Z. Li, L. Sun, Y. Peng, Z. Zhang, Z. Li, T. Su, L. Feng, Z. Cai, and H. Wu, 2019: Evaluation and uncertainty estimate of next-generation geostationary meteorological Himawari-8/AHI aerosol products, Sci. Total Environ., 692, 879-891, doi:10.1016/j.scitotenv.2019.07.326. Wei, J., Z. Li, L. Sun, Y. Yang, C. Zhao, and Z. Cai, 2019: Enhanced aerosol estimations from Suomi-NPP VIIRS images over heterogeneous surfaces, IEEE Geosci. Remote S., doi:10.1109/TGRS.2019.2927432. Wei, J., Z. Li, Y. Peng, L. Sun, and X. Yan, 2019: A regionally robust high-spatial-resolution retrieval algorithm for MODIS images over eastern China, IEEE Geosci. Remote S., 57, 4748-4757, doi:10.1109/TGRS.2019.2892813. Wei, J., W. Huang, Z. Li, W. Xue, Y. Peng, L. Sun, and M. C. Cribb, 2019: Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach, Remote Sens. Environ., 231, doi:10.1016/j.rse.2019.111221. Wei, J., Z. Li, Y. Peng, and L. Sun, 2019: MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison, Atmos. Environ., 201, 428-440, doi:10.1016/j.atmosenv.2018.12.004. Wei, J., Z. Li, L. Sun, Y. Peng, and L. Wang, 2019: Improved merge schemes for MODIS Collection 6.1 Dark Target and Deep Blue combined aerosol products, Atmos. Environ., 202, 315-327, doi:10.1016/j.atmosenv.2019.01.016. Share Link Yan, X., Z. Li, W. Shi, N. Luo, W. Shi, W. Zhao, X. Yang, C. Liang, F. Zhang, and M. C. Cribb, 2019: An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness. Part 2: application and validation in Asia, Remote Sens. Environ., 222, 90-103, doi:10.1016/j.rse.2018.12.012. Yuan, C., W. K. M. Lau, Z. Li, and M. Cribb, 2019: Relationship between Asian monsoon strength and transport of surface aerosols to the Asian Tropopause Aerosol Layer (ATAL): interannual variability and decadal changes, Atmos. Chem. Phys., 19, 1901-1913, doi:10.5194/acp-19-1901-2019. Supplement Zhang, F., J. Ren, T. Fan, L. Chen, W. Xu, Y. Sun, R. Zhang, J. Liu, S. Jiang, X. Jin, H. Wu, S. Li, M. C. Cribb, and Z. Li, 2019: Significantly enhanced aerosol CCN activity and number concentrations by nucleation-initiated haze events: a case study in urban Beijing, J. Geophys. Res. Atmos., 124, 14,102-14,113, doi:10.1029/2019JD031457. Supplement Zhang, Y., J. Fan, T. Logan, Z. Li, and C. R. Homeyer, 2019: Wildfire impact on environmental thermodynamics and severe convective storms, Geophys. Res. Lett., 46, doi:10.1029/2019GL084534. Zheng, Y., and Z. Li, 2019: Episodes of warm-air advection causing cloud-surface decoupling during the MARCUS, J. Geophys. Res. Atmos., 124, doi:10.1029/2019JD030835. Zheng, Y., D. Rosenfeld, Y. Zhu, and Z. Li, 2019: Satellite-based estimation of cloud top radiative cooling rate for marine stratocumulus, Geophys. Res. Lett., 46, 4485-4494, doi:10.1029/2019GL082094. Fan, J., D. Rosenfeld, Y. Zhang, S. E. Giangrande, Z. Li, and Coauthors, 2018: Substantial convection and precipitation enhancements by ultrafine aerosol particles, Science, 359, 411-418, doi:10.1126/science.aan8461. Fan, T., X. Liu, P.-L. Ma, Q. Zhang, Z. Li, Y. Jiang, F. Zhang, C. Zhao, X. Yang, F. Wu, and Y. Wang, 2018: Emission or atmospheric processes? An attempt to attribute the source of large bias of aerosols in eastern China simulated by global climate models, Atmos. Chem. 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Cloud Absorption and Reflection (11) Halthore, R. N., D. Crisp, S. E. Schwartz, G. P. Anderson, A. Berk, B. Bonnel, O. Boucher, F.-L. Chang, M.-D. Chou, E. E. Clothiaux, P. Dubuisson, B. Fomin, Y. Fouquart, S. Freidenreich, C. Gautier, S. Kato, I. Laszlo, Z. Li, et al., 2005: Intercomparison of shortwave radiative transfer codes and measurements, J. Geophys. Res. Atmos., 110, D11206, doi:10.1029/2004JD005293. Li, Z., W. Wiscombe, G. L. Stephens, and T. P. Ackerman, 2004: Response to "Disagreements over cloud absorption", Science, 305, 1240. Li, Z., 2004: On the solar radiation budget and cloud absorption anomaly debate, In "Observation, Theory, and Modeling of the Atmospheric Variability", (ed. Zhu), World Scientific Pub. Co., p437-456. Li, Z., T. P. Ackerman, W. Wiscombe, and G. L. Stephens, 2003: Have clouds darkened since 1995? Science, 302, 1151-1152. Li, Z., M. Cribb, and A. Trishchenko, 2002: Impact of surface inhomogeneity on solar radiative transfer under overcast conditions, J. Geophys. Res. Atmos., 107, 10.1029/2001JD000976. Li, Z., and A. Trishchenko, 2001: Quantifying uncertainties in determining SW cloud radiative forcing and cloud absorption due to variability in atmospheric conditions, J. Atmos. Sci., 58, 376-389. Chang, F.-L., Z. Li, and S. A. Ackerman, 2000: Examining the relationship between cloud and radiation quantities derived from satellite observations and model calculations, J. Climate, 13, 3842-3859. Li, Z., A. Trishchenko, H. W. Barker, G. L. Stephens, and P. T. Partain, 1999: Analyses of Atmospheric Radiation Measurement (ARM) programs’s Enhanced Shortwave Experiment (ARESE) multiple data sets for studying cloud absorption, J. Geophys. Res. Atmos., 104, 19127-19134. Barker, H. W., and Z. Li, 1997: Interpreting shortwave albedo-transmittance plots: True or apparent anomalous absorption, Geophys. Res. Lett., 24, 2023-2026. Li, Z., and L. Moreau, 1996: Alteration of atmospheric solar absorption by clouds: Simulation and observation, J. Appl. Meteorol., 35, 653-670. Li, Z., H. Barker, and L. Moreau, 1995: The variable effect of clouds on atmospheric absorption of solar radiation, Nature (article), 376, 486-490. |
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Radiation Budget and GCM Assessment (17)
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East Asian Study of Tropospheric Aerosols: an International Regional Experiment (27)
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Cloud Remote Sensing (23)
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Aerosol Remote Sensing and Climate Effects (31)
Yan, H., Z. Li, J. Huang, M. Cribb, and J. Liu, 2014: Long-term aerosol-mediated changes in cloud radiative forcing of deep clouds at the top and bottom of the atmosphere over the Southern Great Plains, Atmos. Chem. Phys., 14, doi:110.5194/acp-14-7113-2014. Fan, J., L. R. Leung, D. Rosenfeld, Q. Chen, Z. Li, J. Zhang, and H. Yan, 2013: Microphysical effects determine macrophysical response for aerosol impact on deep convective clouds, P. Natl. Acad. Sci. USA, doi:10.1073/pnas.1316830110. Niu, F., and Z. Li, 2012: Systematic variations of cloud top temperature and precipitation rate with aerosols over the global tropics, Atmos. Chem. Phys., 12, 8491-8498. Fan, J., D. Rosenfeld, Y. Ding, L. R. Leung, and Z. Li, 2012: Potential aerosol indirect effects on atmospheric circulation and radiative forcing through deep convection, Geophys. Res. Lett., 39, L09806, doi:10.1029/2012GL051851. Zhao, F., Y. Tan, Z. Li, and C. Gai, 2012: The effect and correction of aerosol forward scattering on retrieval of aerosol optical depth from Sun photometer measurements, Geophys. Res. Lett., 39, doi:10.1029/2012GL052135. Tao, W.-K., J. P. Chen, Z. Li, C. Wang, and C. Zhang, 2012: Impact of aerosols on convective clouds and precipitation, Rev. of Geophys., doi:10.1029/2011RG000369. Li, Z., F. Niu, J. Fan, Y. Liu, D. Rosenfeld, and Y. Ding, 2011: Long-term impacts of aerosols on the vertical development of clouds and precipitation, Nature-Geoscience (article), doi: 10.1038/NGEO1313. Jeong, M.-J., and Z. Li, 2010:Separating real and apparent effects of cloud, humidity, and dynamics on aerosol optical thickness near cloud edges, J. Geophys. Res. Atmos., 115, doi:10.1029/2009JD013547. Krotkov, N.A., B. McClure, R.R. Dickerson, K. Yang, C. Li, S. Carn, A. Krueger, P. K. Bhartia, P. F. Levelt, Z. Li, H. Chen, P. Wang, and D. Lu, 2007: Validation of SO2 retrievals from the Ozone Monitoring Instrument over NE China, J. Geophys. Res. Atmos., 113, doi:10.1029/2007JD008818. Eck, T. F., B. N. Holben, A. Sinyuk, R. T. Pinker, P. Goloub, H. Chen, B. Chatenet, Z. Li, R. P. Singh, S. N. Tripathi, J. S. Reid, D. M. Giles, O. Dubovik, N. T. O'Neill, and A. Smirnov, 2010: Climatological aspects of the optical properties of fine/coarse mode aerosol mixtures, J. Geophys. Res. Atmos., 115, D19205, doi:10.1029/2010JD014002. Li, Z., X. Zhao, R. Kahn, M. Mishchenko, L. Remer, K.-H. Lee, M. Wang, I. Laszlo, T. Nakajima, and H. Maring, 2009: Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: a review and perspective, Ann. Geophys., 27, 2755-2770. Lee, K., Z. Li, Y. J. Kim, and A. Kokhanovsky, 2009: Atmospheric Aerosol Monitoring from Satellite Observations: A History of Three Decades, in Atmospheric and Biological Environmental Monitoring, Springer Pub. Fan, J., T. Yuan, J. M. Comstock, S. Ghan, A. Khain, L. R. Leung, Z. Li, V. J. Martins, and M. Ovchinnikov, 2009: Dominant role by vertical wind shear in regulating aerosol effects on deep convective clouds, J. Geophys. Res. Atmos., 114, D22206, doi:10.1029/2009JD012352. Fromm, M., O. Torres, D. Diner, D. Lindsey, B. Vant Hull, R. Servranckx, E. P. Shettle, and Z. Li, 2008: Stratospheric impact of the Chisholm pyrocumulonimbus eruption: 1. Earth-viewing satellite perspective, J. Geophys. Res. Atmos., 113, D08202, doi:10.1029/2007JD009153. Yuan, T., Z. Li, R. Zhang, and J. Fan, 2008: Increase of cloud droplet size with aerosol optical depth: An observation and modeling study, J. Geophys. Res. Atmos., 113, D04201, doi:10.1029/2007JD008632. Lau, W. K. M., V. Ramanathan, G.-X. Wu, Z. Li, et al., 2008: The joint aerosol-monsoon experiment: A new challenge for monsoon climate research, Bull. Amer. Meteorol. Soc., 89, doi:10.1175/BAMS-89-3-369. Vucetic, S., B. Han, W. Mi, Z. Li, and Z. Obradovic, 2008: A data-mining approach for the validation of aerosol retrievals, IEEE Geosci. Remote Sens., 5, 113-117. Kokhanovsky A., F. M. Breon, A. Cacciari, E. Carboni, D. Diner, W. Di Nicolantonio, R. G. Grainger, W. M. F. Grey, R. Höller, K.-H. Lee, Z. Li, et al., 2007: Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments, Atmos. Res., 85, 372-394. Jeong, M.-J., Z. Li, E. Andrews, and S.-C. Tsay, 2007: Effect of aerosol humidification on the column aerosol optical thickness over the Atmospheric Radiation Measurement Southern Great Plains site, J. Geophys. Res. Atmos., 112, D10202, doi:10.1029/2006JD007176. Lee, K.-H., Z. Li, and Y.-J. Kim, 2007: SWIR/VIS reflectance ratio over Korea for aerosol retrieval, K. J. Remote Sens., 23, 1-5. Lee, M. S., K.-H. Lee, Y. J. Kim, J. E. Nichol, Z. Li, and N. Emerson, 2007: Modeling of suspended solids and sea surface salinity in Hong Kong using Aqua/MODIS satellite images, K. J. Remote Sens., 23, 1-9. Li, Z., and T. Yuan, 2006: Exploring aerosol-cloud-climate interaction mechanisms using the new generation of earth observation system data, Current problems in atmospheric radiation, (Eds. H. Fischer and B.-J. Song). Deepak Pub, 1-4. Fan, J., R. Zhang, G. Li, J. Nielsen-Gammon, and Z. Li, 2005: Simulations of fine particulate matter (PM2.5) in Houston, Texas, J. Geophys. Res. Atmos., 110, D16203, doi:10.1029/2005JD005805. Vant-Hull, B., Z. Li, B. F. Taubman, R. Levy, L. Marufu, F.-L. Chang, B. G. Doddridge, and R. R. Dickerson, 2005: Smoke over haze: Comparative analysis of satellite, surface radiometer, and airborne in situ measurements of aerosol optical properties and radiative forcing over the eastern United States, J. Geophys. Res. Atmos., 110, D10S21, doi:10.1029/2004JD004518. Jeong, M.-J., and Z. Li, 2005: Quality, compatibility, and synergy analyses of global aerosol products derived from the advanced very high resolution radiometer and Total Ozone Mapping Spectrometer, J. Geophys. Res. Atmos., 110, D10S08, doi:10.1029/2004JD004647. Jeong, M.-J., Z. Li, D. A. Chu, and S.-C. Tsay, 2005: Quality and compatibility analyses of global aerosol products derived from the advanced very high resolution radiometer and Moderate Resolution Imaging Spectroradiometer, J. Geophys. Res. Atmos., 110, D10S09, doi:10.1029/2004JD004648. Taubman, B. A., L. Marufu, B. Vant-Hull, C. Piety, B. Doddridge, R. Dickerson, and Z. Li, 2004: Smoke over haze: Aircraft observations of chemical and optical properties and the effects on heating rates and stability, J. Geophys. Res. Atmos., 109, D02206, doi:10.1029/2003JD003898. Li, Z., 2004: Aerosol and climate: A perspective over East Asia, In "Observation, Theory, and Modeling of the Atmospheric Variability" (ed. Zhu), World Scientific Pub. Co., 501-525. O'Neill, N. T., T. F. Eck, B. N. Holben, A. Smirnov, A. Royer, and Z. Li, 2002: Optical properties of boreal forest fire smoke derived from Sun photometry, J. Geophys. Res. Atmos., 107, doi:10.1029/2001JD000877. Wong, J., and Z. Li, 2002: Retrieval of optical depth for heavy smoke aerosol plumes: uncertainties and sensitivities to the optical properties, J. Atmos. Sci., 59, 250-261. Fromm, M., J. Alfred, K. Hoppel, J. Hornstein, R. Bevilacqua, E. Shettle, R. Servranckx, Z.Li, and B. Stocks, 2000: Observations of boreal forest fire smoke in the stratosphere by POAM III, SAGE II and lidar in 1998, Geophys. Res. Let., 27, 1407-1410. |
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Fire Monitoring and Mapping (21)
He, L., and Z. Li, 2012: Enhancement of a fire detection algorithm by eliminating solar reflection in the mid-IR band: application to AVHRR data, Int. J. Remote Sens., 33, 7047-7059. He, L., and Z. Li, 2011: Enhancement of a fire detection algorithm by eliminating solar contamination effects and atmospheric path radiance: application to MODIS data, Int. J. Remote Sens., 32, 6273-6293. Pu, R., Z. Li, P. Gong, R. Fraser, I. Csiszar, W. Hao, S. Kondragunta, and F. Weng, 2007: Development and analysis of a 12-year daily 1-km forest fire dataset across North America from NOAA/AVHRR data, Remote Sens. Environ., 108, 198-208, doi:10.1016/j.rse.2006.02.027. Li, Z., J. Jin, P. Gong, and R. Pu, 2006: Use of satellite remote sensing data for modeling carbon emissions from fires: a perspective in North America, Earth Science Satellite Remote Sensing (eds. J. Qu et al.), Springer-Verlag and Tsinghua University Press, 337-362. Gong, P., R. Pu, Z. Li, J. Scarborough, N. Clinton, and L.M. Levien, 2006: An integrated approach to wildland fire mapping of California, USA using NOAA/AVHRR data, Photogrammetic Eng. Remote Sens., 72, 139-150. Pu, R., P. Gong, Z. Li, and J. Scarborough, 2004: A dynamic algorithm for wildfire mapping with NOAA AVHRR data, Int. J. Wild Fires, 13, 275-285. Fraser, R. H., R. J. Hall, R. Landry, T. Landry, T. Lynham, D. Raymond, B. Lee, and Z. Li, 2004: Validation and calibration of Canada-wide coarse-resolution satellite burned-area maps, Photogramm. Eng. Remote Sens., 70, 451-460. Li, Z., R. Fraser, J. Jin, A. A. Abuelgasim, I. Csiszar, P. Gong, R. Pu, and W. Hao, 2003: Evaluation of algorithms for fire detection and mapping across North America from satellite, J. Geophys. Res. Atmos., 108(D2), doi:10.1029/2001JD001377. Csiszar, I., A. Abuelgasim, Z. Li, J. Jin, R. Fraser, and W.-M. Hao, 2003: Interannual changes of active fire detectability in North America from long-term records of the advanced very high resolution radiometer, J. Geophys. Res. Atmos., 108(D2), 4075, doi:10.1029/2001JD001373. Ichoku, C., Y. Kaufman, L. Giglio, Z. Li, R. H. Fraser, J. Jin, and B. Park, 2003: Comparative analysis of daytime fire detection algorithms using AVHRR data for the 1995 fire season in Canada: Perspective for MODIS, Int. J. Remote Sens., 24, 1669-1690. Fraser, R., and Z. Li, 2002: Estimating fire-related parameters in boreal forest using SPOT VEGETATION, Remote Sens. Environ., 82, 95-110. Li, Z., A. Khananian, R. Fraser, and J. Cihlar, 2001: Automatic detection of fire smoke using artificial neural networks and threshold approaches applied to AVHRR imagery, IEEE Tran. Geosci. Remote Sens., 39, 1859-1870. Li, Z., Y. Kaufman, C. Ichoku, R. Fraser, A. Trishchenko, L. Gilgil, J. Jin, and X. Yu, 2001: A review of AVHRR-based active fire detection algorithms: Principles, limitations, and recommendations, in Global and Regional Vegetation Fire Monitoring from Space, Planning and Coordinated International Effort (Eds. F. Ahern, J.G. Goldammer, C. Justice), 199-225. Grégoire J.-M., D. R. Cahoon, D. Stroppiana, Z. Li, S. Pinnock, H. Eva, O. Arino, J.M. Rosaz, and I. Csiszar, 2001: Forest fire monitoring and mapping for GOFC: current products and information networks based on NOAA-AVHRR, ERS-ATSR, and SPOT-VGT, in Global and Regional Vegetation Fire Monitoring from Space, Planning and Coordinated International Effort (Eds. F. Ahern, J.G. Goldammer, C. Justice), 105-124. Arino, O., I. Piccolini, E. Kasischke, F. Siegert, E. Chuvieco, P. Martin, Z. Li, Fraser, H. Eva,D. Stropplana, J. Pereira, J. M. N. Silva, D. Roy, and P. Barbosa, 2001: Mapping of burned surfaces in vegetation fires, in Global and Regional Vegetation Fire Monitoring from Space, Planning and Coordinated International Effort (Eds. F. Ahern, J.G. Goldammer, C. Justice), 227-255. Li, Z., S. Nadon, and J. Cihlar, 2000: Satellite-based detection of Canadian boreal forest fires: Development and application of the algorithm, Int. J. Remote Sens., 21, 3057-3069. Li, Z., S. Nadon, J. Cihlar, and B. J. Stocks, 2000: Satellite-based mapping of Canadian boreal forest fires: Evaluation and comparison of algorithms, Int. J. Remote Sens., 21, 3071-3082. Fraser, R., Z. Li, and J. Cihlar, 2000: Hotspot and NDVI differencing synergy (HANDS): A new technique for burned area mapping over boreal forest, Remote Sens. Environ., 74, 362-375. Fraser, R., Z. Li, and R. Landry, 2000: SPOT VEGETATION for characterizing boreal forest fires, Int. J. Remote Sens., 21, 3525-3532. Li, Z., 1998: Remote Sensing of Forest Fires by NOAA/AVHRR, in CGMS Directory of Meteorological Satellite Applications (ed. J. Morgan). Li, Z., J. Cihlar, L. Moreau, F. Huang, and B. Lee, 1997: Monitoring fire activities in the boreal ecosystem, J. Geophys. Res. Atmos.,102, 29,611-29,624. |
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UV Remote Sensing (5)
Ciren, P., and Z. Li, 2003: Long-term global Earth surface ultraviolet radiation exposure derived from ISCCP and TOMS satellite measurements, J. Agri. Forest. Meteorol., 120, 51-68. Li, Z., P. Wang, and J. Cihlar, 2000: A simple and efficient method for retrieving surface UV radiation dose rate from satellite, J. Geophys. Res. Atmos., 105, 5027-5036. Wang, P., Z. Li, and D. Wardle, 2000: Validation of an UV inversion algorithm using satellite and surface measurements, J. Geophys. Res. Atmos., 105, 5037-5048. Ciren, P., and Z. Li, 2000: Anisotropic reflection of UV radiation at the top of the atmosphere: characteristics and models obtained from Meteor-3/TOMS, J. Geophys. Res. Atmos., 106, 4741-4755. Zheng, Y., Y. He, Y. Yang, and Z. Li, 2000: Effects of increased UV-B upon the ecosystem of grown wheat in China, J. Photosci., 9(4), 166-169. |
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Land Remote Sensing (14)
Wang, K., P. Wang, Z. Li, M. Cribb, and M. Sparrow, 2007: A simple method to estimate actual evapotranspiration from a combination of net radiation, vegetation index, and temperature, J. Geophys. Res. Atmos., 112, D15107, doi:10.1029/2006JD008351.
Wang, K., Z. Li, and M. Cribb, 2006: Estimation of evaporative fraction from a combination of day and night land surface temperature and NDVI: A new method to determine the Priestley-Taylor parameter, Remote Sens. Environ., 102, 293-305. Cihlar, J., R. Fernandes, R. Fraser, J. Chen Jing, W. Chen, R. Latifovic, J. Liu Jane, and Z. Li, 2003: National scale forest information extraction from coarse resolution satellite data, Part 2: Forest Biophysical parameters and carbon, Remote Sensing of Forest Environments: Concepts and Case Studies (ed. M.A. Wulder, and S.E. Franklin), Kluwer Academic Publishers, Boston/Dordrecht/London, 359-388. Cihlar, J., J. Chen, Z. Li, et al., 2002: GeoComp-n, an advanced system for the processing of coarse and medium resolution satellite data. Part 2: Biophysical products for northern ecosystems, Can. J. Remote Sens., 28, 21-44.
Cihlar, J., R. Latifovic, J. M. Chen, J. Beaubien, and Z. Li, 2000: Selecting representative high resolution sample images for land cover studies. Part 1: methodology, Remote Sens. Environ., 71, 26-42. Cihlar, J., R. Latifovic, J. M. Chen, J. Beaubien, and Z. Li, 2000: Selecting representative high resolution sample images for land cover studies. Part 2: application to estimating land cover composition, Remote Sens. Environ., 72, 127-138. Cihlar, J., J. Chen, Z. Li, F. Huang, and H. Pokrant, 1998: Can interannual land surface signal be discerned in composite AVHRR data?, J. Geophys. Res. Atmos., 103, 23,163-23,172. Li, Z., L. Moreau, and J. Cihlar, 1997: Estimation of the photosynthetically active radiation absorbed at the surface, J. Geophys. Res. Atmos., 102, 29,717-29,727. Cihlar, J., J. Chen, and Z. Li, 1997: Seasonal AVHRR multichannel data sets and products for studies of surface-atmosphere interactions, J. Geophys. Res. Atmos., 102, 29,625-29,640. Cihlar, J., H. Ly, Z. Li, J. Chen, H. Pokrant, and F. Huang, 1997: Multi-temporal, multi-channel AVHRR data sets for land biosphere studies: Artifacts and corrections, Remote Sens. Environ., 60, 35-57. Cihlar, J., J. Chen, and Z. Li, 1997: On the validation of satellite-derived products for land applications, Can. J. Remote Sens., 23, 381-389. Cihlar, J., J. Beaubien, Q. Xiao, J. Chen, and Z. Li, 1997: Land cover of the BOREAS region from AVHRR and LANDSAT data, Can. J. Remote Sens., 23, 163-175. Li, Z., and L. Moreau, 1996: A new approach for remote sensing of canopy absorbed photosynthetically active radiation, I: Total surface absorption, Remote Sens. Environ., 55, 175-191. Moreau, L., and Z. Li, 1996: A new approach for remote sensing of canopy absorbed photosynthetically active radiation, II: Proportion of canopy absorption, Remote Sens. Environ., 55, 192-204. |
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Scene ID, BRDF and NB-BB Corrections (8)
Luo, Y., A. Trishchenko, R. Latifovic, and Z. Li, 2005: Surface bidirectional reflectance and albedo properties derived using a land cover based approach with Moderate Resolution Imaging Spectroradiometer observations, J. Geophys. Res. Atmos., 110, D01106, doi:10.1029/2004JD004741. Chang, F.-L., Z. Li, and A. Trishchenko, 2000: The dependence of TOA anisotropic reflection on cloud properties inferred from ScaRaB satellite data, J. Appl. Meteorol., 39, 2480-2493. Li, Z., and A. Trishchenko, 1999: A study towards an improved understanding of the relationship between visible and shortwave measurements, J. Atmos. Ocean. Tech., 16, 347-360. Li, Z., L. Moreau, J. Cihlar, and D. W. Deering, 1997: An evaluation of kernel-driven bidirectional models using PARABOLA measurements, Can. J. Remote Sens. 23, 120-130. Li, Z., 1996: On the angular correction of satellite radiation measurements: the performance of ERBE angular dependence model in the Arctic, J. Theor. Appl. Climatol., 54, 235-248. Li, Z., J. Cihlar, X. Zhang, L. Moreau, and L. Hung, 1996: The bidirectional effects of AVHRR measurements over boreal regions, IEEE Tran. Geosci. Remote Sen., 34, 1308-1322. Wu, A., Z. Li, and J. Cihlar, 1995: Effects of land cover type and greenness on AVHRR bidirectional reflectances: analysis and removal, J. Geophys. Res. Atmos., 100, D5, doi:10.1029/95JD00512100. Li, Z., and H. G. Leighton, 1992: Narrowband to broadband conversion with spatially autocorrelated reflectance measurements, J. Appl. Meteorol., 31, 421-432. |
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Sensor Calibration (9)
Chen, W., H. Zhao, Z. Li, X. Jing, and L. Yan, 2015: Uncertainty evaluation of an in-flight absolute radiometric calibration using a statistical Monte Carlo method, IEEE Trans. Geosci. Remote Sens., 53, doi:10.1109/TGRS.2014.2366779. Chen, W., L. Yan, Z. Li, X. Jing, Y. Duan, and X. Xiong, 2013: In-flight absolute calibration of an airborne wide-view multispectral imager using a reflectance-based method and its validation, Int. J. Remote Sens., 34, 1995-2005. Liu, J., Z. Li, Y. L. Qiao, Y. J. Liu, and Y. X. Zhang, 2004: A new method for cross-calibration of two satellite sensors, Int. J. Remote Sens., 25, 5267-5281. Trishchenko, A., J. Cihlar, and Z. Li, 2002: Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors, Remote Sens. Environ., 81, 1-18. Trishchenko, A., G. Fedosejevs, Z. Li, and J. Cihlar, 2002: Trends and uncertainties in thermal calibration of AVHRR radiometers onboard NOAA-9 to NOAA-16, J. Geophys. Res. Atmos., 107(D24), doi: 10.1029/2002JD002353. Trishchenko, A., and Z. Li, 2001: A method for the correction of AVHRR onboard IR calibration in the event of short-term radiative contamination, Int. J. Remote Sens., 22, 3619-3624. Cihlar, J., L. Tcherednichenko, R. Latifovic, Z. Li, and J. M. Chen, 2001: Impact of variable atmospheric water vapour content on AVHRR data corrections over land, IEEE Trans. Geosci. Remote Sens., 39, 173-180, doi:10.1109/36.898679. Cihlar, J., R. Latifovic, J. Chen, and Z. Li, 1999: Testing near real-time detection of contaminated pixels in AVHRR composites, Can. J. Remote Sens., 25, 160-170, doi:10.1080/07038992.1999.10874714. Trishchenko, A., and Z. Li, 1998: Use of ScaRaB measurements for validating a GOES-based TOA radiation product, J. Appl. Meteorol., 37, 591-605, doi:10.1175/1520-0450(1998)037<0591:UOSMFV>2.0.CO;2. |
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Miscellaneous (13)
Guo, J., P. Zhai, L. Wu, M. Cribb, Z. Li, Z. Ma, F. Wang, D. Chu, P. Wang, and J. Zhang, 2014: Diurnal variation and the influential factors of precipitation from surface and satellite measurements in Tibet, Int. J. Climatol., 34(9), doi:10.1002/joc.3886.
Pankine, A., Z. Li, D. Parsons, M. Purucker, E. Weinstock, W. Wiscombe, and K. Nock, 2009: Stratospheric satellites for earth observations, Bull. Amer. Meteorol. Soc., 90(8), 1109-1119, doi:10.1175/2009BAMS2624.1. Li, Z., L. Chiu, S. Weng, D.-L. Zhang, J. Du, J. Huang, M. Jin, H. Juang, F.-C. Ko, S. Lu, S. Yang, and D. Yuna, 2007: The rapid growth of publications by atmospheric and oceanic scientists of Chinese origin, Bull. Amer. Meteorol. Soc., 88(6), 846-848, doi:10.1175/BAMS-88-6-846. Li, Z., X. Yu, and Y. Kaufman, 2000: On the new generation of earth observation system, Science (China), 52(4), 9-12. Li, Z., and D. Weng, 1990: Numerical simulations of surface radiation field in a hilly country, Acta Meteorol. Sin., 4, 81-91. Li, Z., and D. Weng, 1989: Distribution and calculation of the solar diffuse radiation incident on slopes, Acta Meteorol. Sin., 3, 490-497. Li, Z., and D. Weng, 1989: A numerical model for hilly-land global radiation, Acta Meteorol. Sin., 3, 661-668. Li, Z., and D. Weng, 1988: A computer model for calculating the duration of sunshine in mountainous areas, Chinese Sci. Bull., 33, 1624-1627. Li, Z., and D. Weng, 1987: A model to determine topographic parameters, Acta Geogr. Sin., 42, 269-278. Li, Z., and D. Weng, 1987: A parameterization model for calculating diffuse radiation over rugged terrain, Jour. Meteorol., 10, 139-151. Li, Z., and D. Weng, 1987: Simulations of the reflected radiation from the surrounding terrains, Geog. Res., 6, 42-49. Weng, D., X. Fang, and Z. Li, 1985: A preliminary study on the vertical decreasing of water vapour, J. Meteorol., 8, 152-160. |