Jianjun Liu

Senior Research Scientist

jianjun.liu@emdous.com

EMDO Laboratory

14900 Sweitzer Lane Suite 106 Laure, MD 20707, US

Research Interests

Remote sensing of air pollution (particulate matter and gas)

Aerosol and cloud properties

Aerosol radiative effect

Aerosol-cloud interactions

Cloud condensation nuclei

Deep Learning / Machine learning

Positions/Employment

Jan 2020 - Now, Senior Research Scientist, Environmental Model & Data Optima (EMDO) Laboratory, USA

Oct 2017 - Dec 2019, Research Scientist, EMDO Laboratory, USA

March 2013 - Sep 2017, Research Associate/, Earth System Science Interdisciplinary Center (ESSIC), University of Maryland (UMD), USA

Sep 2011 - March 2013, Faculty Research Assistant, ESSIC, UMD, USA

Sep 2009 - Aug 2010, Faculty Research Assistant, ESSIC, UMD, USA

Education

Ph.D., 2012, Atmospheric Physics and Atmospheric Environment, Nanjing University of Information Science & Technology (NUIST), China

M.Sc., 2008, Atmospheric Physics and Atmospheric Environment, NUIST, China

B.Sc., 2005, Environmental Science, NUIST, China.

Selected Publications

Refereed

Liu, J., & Chen, W. (2022). First satellite-based regional hourly NO2 estimations using a space-time ensemble learning model: A case study for Beijing-Tianjin-Hebei Region, China. Science of The Total Environment, 820, 153289

Liu, J. (2021). Mapping high-resolution national daily NO2 exposure across mainland China using an ensemble algorithm. Environmental Pollution, 279, 116932

Liu, J., Weng, F., & Li, Z. (2021). Ultrahigh-Resolution (250 m) Regional Surface PM2.5 Concentrations Derived First from MODIS Measurements. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1-12

Liu, J., Weng, F., Li, Z., & Cribb, M.C. (2019). Hourly PM2.5 Estimates from a Geostationary Satellite Based on an Ensemble Learning Algorithm and Their Spatiotemporal Patterns Over Central East China. Remote Sensing, 11, 2120

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, Atmospheric Environment, 208, 113-122.

Liu, J., Z. Li and M. Cribb (2019), Aerosol Properties and Their Influences on Low Warm Clouds during the Two-Column Aerosol Project, Atmos. Chem. Phys.,19(14), 9515-9529.

Liu, J. and Z. Li (2018), Significant underestimation in the optically based estimation of the aerosol first indirect effect induced by the aerosol swelling effect, Geophys. Res. Lett., 45(11), 5690-5699.

Liu, J. and Z. Li (2018), First Surface-based Estimation of the Aerosol Indirect Effect over a Site in Southeastern China, Adv. Atmos. Sci., 35(2), 169-181.

Li, Z., J. Guo, A. Ding, H. Liao, J. Liu, Y. Sun, T. Wang, H. Xue, H. Zhang and B. Zhu (2017), Aerosol and Boundary-Layer Interactions and Impact on Air Quality, National Science Review, 6(4), 810-833.

Liu, J., Z. Li, and M. Cribb (2016), Response of Marine Boundary Layer Cloud Properties to Aerosol Perturbations Associated with Meteorological Conditions from the 19-month AMF-Azores Campaign, Journal of the Atmospheric Sciences, 73(11), 4253-4268,

Li, Z., W. K. M. Lau, V. Ramanathan, G. Wu, Y. Ding, M. G. Manoj, J. Liu, Y. Qian, J. Li, T. Zhou, J. Fan, D. Rosenfeld, Y. Ming, Y. Wang, J. Huang, B. Wang, X. Xu, S. S. Lee, M. Cribb, F. Zhang, X. Yang, T. Takemura, K. Wang, X. Xia, Y. Yin, H. Zhang, J. Guo, P. Zhai, N. Sugimoto, S. S. Babu and G. P. Brasseur (2016), Aerosol and Monsoon Climate Interactions over Asia, Reviews of Geophysics, 2015RG000500, doi:10.1002/

Liu, J. and Z. Li (2014), Estimation of cloud condensation nuclei concentration from aerosol optical quantities: influential factors and uncertainties, Atmos. Chem. Phys., 14, 471 483, doi:10.5194/aACP14 471 2014.

Li, Z., F. Zhao, J. Liu, M. C. Zhao, and M. Cribb (2014), Opposite effects of absorbing aerosols on the retrievals of cloud optical depth from space-borne and ground-based measurements, J. Geophys. Res. Atmos. 119(9), 2013JD021053, doi:10.1002/2013JD021053.

Liu, J., Z. Li, Y. Zheng, J. C. Chiu, F. Zhao, M. Cadeddu, F. Weng, and M. Cribb (2013), Cloud optical and microphysical properties derived from ground-based and satellite sensors over a site in the Yangtze Delta region, J. Geophys. Res. Atmos.,118, 9141–9152, doi:10.1002/jgrd.50648.

Liu. J., Y. Zheng, Z. Li, C. Flynn, and M. Cribb (2012), Seasonal variations of aerosol optical properties, vertical distribution and associated radiative effects in the Yangtze Delta region of China, J. Geophys. Res. Atmos.,117, D00K38, doi:10.1029/2011JD016490.

Liu, J., Y. Zheng, Z. Li, C. Flynn, E.J. Welton, M. Cribb (2011), Transport, vertical structure and radiative properties of dust events in southeast China determined from ground and space sensors. Atmos. Environ., 45(35), 64696480.

Liu, J., Y. Zheng, Z. Li, and M. Cribb (2011), Analysis of cloud condensation nuclei properties at a polluted site in southeastern China during the AMF China Campaign, J. Geophys. Res. Atmos.,116, D00K35, doi:10.1029/2011JD016395.