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Yangang Liu

Senior Scientist

Liu is a Senior Scientist and Leader of the Climate and Process Modeling group. His scientific interests have been centering on atmospheric particle systems (aerosols, clouds and precipitation, associated processes and interactions with Earth’s climate. Research spans over a wide spectrum of topics, including aerosol/cloud physics, turbulence, light scattering, radiative transfer, remote sensing, and climate (change). Current research concentrates on development and evaluation of cloud-related parameterizations for models of various scales (from large eddy simulations to cloud-resolving models to numerical weather production models to climate models), and on the effects of aerosols on climate and climate change. Research activities combine development, application, and integration of theory, modeling, and observations. A related interest is to consider particle systems as special examples of broader multiscale complex systems, and seek to quantify fluctuations and explore theories as applied to such complex systems. Developing an entirely new framework of scale-dependent models has been one of my long-term research goals.

Research has resulted in 102 peer-reviewed publications in prestigious journals like Nature, Nature-Geo, and Physical Review Letter. Work has been featured by Nature News, American Physical Society, American Institute of Physics, American Geophysical Union, DOE Office of Science, and various news media.

Education

  • University of Nevada-Reno, Ph.D., Atmospheric Sciences
  • Nanjing University of Information Science and Technology (NUIST, former Nanjing Institute of Meteorology, China), M.S., Atmospheric Sciences
  • NUIST, China, B.S., Atmospheric Sciences

Professional Activities

  • American Association for the Advancement of Science
  • American Meteorological Society
  • American Geophysical Union
  • U.S. Association of Table Tennis

Areas of Interest

  • Aerosol/cloud/precipitation physics
  • Fast physics in large scale models
  • Climate and climate change
  • Complex systems

Experience

  • Senior Scientist: 2011 to present
  • Tenured Scientist: 2008 to 2011
  • Scientist: 2006 to 2008, Brookhaven National Laboratory
  • Associate Scientist: 2003 - 2006, Brookhaven National Laboratory
  • Assistant Scientist: 2001-2003, Brookhaven National Laboratory
  • Research Associate: 1998 to 2001, Brookhaven National Laboratory
  • Adjunct Full Professor, Stony Brook University, 2010 to present
  • Guest Professor, NUIST, 2010 to present
  • Leader of Climate and Process Modeling Group, April 2014 to present
  • Associate Editor, Journal of Geophysical Research-Atmosphere
  • Co-leader of BNL Aerosol/Cloud group, 2007 to 2014.
  • Lead of the multi-institutional FASTER project, 2009-2014

External Service

  • Co-Chair on session “Cloud-scale processes: modeling, observation, and parameterization for larger scale models”, AGU Annual Meeting, San Francisco, 13-18 Dec 2015.
  • Co-Chair on session “Aerosol Impacts on Shallow Clouds”, 97th AMS Annual Meeting, Phoenix, AZ, January 4-10, 2015.
  • Co-Chair for session on physics in climate models, AGU, San Francisco, Dec. 2014.
  • Co-Chair, session on fast physics, AGU, San Francisco, Dec 2013.
  • Co-Chair, session on fast physics, AGU, San Francisco, Dec 2012.
  • Co-Chair, session on climate, IYC Symposium on Stratospheric Ozone and Climate Change, DC, 7-10 Nov 2011.
  • Co-Chair, session on fast physics in climate models, AGU, San Francisco, 6-10 Dec 2011.
  • Discussion leader on cloud feedback, Gordon Research Conference on Climate and Radiation, Vermont, July 2011.
  • Co-Chair, session on fast physics in climate models, AGU, San Francisco, Dec 2010.
  • Associate Chief Scientist of the US Department of Energy Atmospheric Radiation Measurement (ARM) Program, 2005 to 2009 (www.arm.gov) before ARM merging with Atmospheric Sciences Program (ASP) as Atmospheric Systems Research (ASR) Program.
  • Panelist NASA and DOE programs
  • Reviewers for over 20 journals
  • Reviewers for DOE, NASA, NSF, NOAA, CFCAS, California State, CCSPO, IPCC

Peer-Reviewed Publications (since 2009)

Chen, J., Y. Liu, M. Zhang, and Y. Peng, 2016: New Understanding and Quantification of the Regime Dependence of Aerosol-Cloud Interaction for Studying Aerosol Indirect Effects. Geophys. Res. Lett (tentatively accepted).

Xie, X, H. Wang, X. Liu, J. Li, Z. Wang, and Y. Liu, 2015: Distinct effects of anthropogenic aerosols on the East Asian summer monsoon and precipitation between multi-decadal strong and weak monsoon stages. J. Geophys. Res. Atmos. (in revision).

Quan, J., Q. Liu, X. Li, Y. Gao, X. Jia, J. Sheng, and Y. Liu, 2015: Effect of heterogeneous aqueous reactions on the secondary formation of inorganic aerosols during haze events. Atmos. Environ., 122, 306-312, doi:10.1016/j.atmosenv.2015.09.068.

Lu, C. Y. Liu, G. Zhang, X. Wu, and X. Guo, 2015: Improving parameterization of entrainment rate for shallow convection with aircraft measurements and large eddy simulations. J. Atmos. Sci. (in press).

Xiao, H., S. Endo, M. Wong, W. C. Skamarock, J. B. Klemp, J. D. Fast, W. I. Gustafson Jr., A. M. Vogelmann, H. Wang, Y. Liu, and W. Lin, 2015: Modifications to WRF’s dynamical core to improve the treatment of moisture for large­eddy simulations. JAMES (in press).

Guo, X., C. Lu, T. Zhao, G. Zhang, and Y. Liu, 2015: An observational study of entrainment rate in deep convection. Atmosphere, 6, 1362-1376, doi:10.3390/atmos6091362.

Yum, S., J. Wang, Y. Liu, G. Senum, and S. Sprinston., 2015: Cloud microphysical relationships and their implication on entrainment and mixing mechanism for the stratocumulus clouds measured during the VOCALS project. J. Geophys. Res. Atmos., 120, 5047-5069, doi:10.1002/2014JD022802.

Bi, X. Z. Gao, Y. Liu, F. Liu, Q. Song, J. Huang, H. Huang, W. Mao, and C. Liu, 2015: Observed drag coefficients in high winds in the near offshore of the South China Sea. J. Geophys. Res. Atmos., 120, doi:10.1002/2015JD023172.

Endo, S., A. M. Fridlind, W. Lin, A. M. Vogelmann, T. Toto, A. S. Ackerman, G. M. McFarquhar, R. C. Jackson, and Y. Liu, 2015: Continental Boundary Layer Cloud Processes. Part II: Large Eddy Simulations of Cumulus Clouds and Evaluation with In-Situ and Ground-Based Observations. J. Geophys. Res. Atmos, 120, 5993-6014, doi:10.1002/2014JD022525.

Zhang, N., Y. Gao, Y. Liu, and D. Li, 2015: Sensitivity of Climate Models to the Critical Richardson Number in the Boundary Layer Parameterization. J. Geophys. Res. Atmos., 120, doi:10.1002/ 2014JD022015.

Vogelmann, A. M., A. M. Fridlind, T. Toto, S. Endo, W. Lin, J. Wang, S. Feng, Y. Zhang, D. D. Turner, Y. Liu, Z. Li, S. Xie, A. S. Ackerman, M. Zhang, and M. Khairoutdinov, 2015: RACORO Continental Boundary Layer Cloud Investigations. Part I: Case Study Development and Ensemble Large-Scale Forcings. J. Geophys. Res. Atmos, 120, 5962-5992, doi:10.1002/2014JD022713.

Lin, W., Y. Liu, A. M. Vogelmann, A. Fridlind, S. Endo, H. Song, S. Feng, T. Toto, Z. Li, and M. Zhang, 2015: RACORO Continental Boundary Layer Cloud Investigations. Part III: Separation of Parameterization Biases in Single-Column Model CAM5 Simulations of Shallow Cumulus.  J. Geophys. Res. Atmos., 120, doi:10.1002/2014JD022524.

Cheng, M., C. Lu, Y. Liu, 2014: Variation of entrainment rate and relationship with cloud microphysical properties on the scale of 5 m.  Sci. Bull., 60 (7), 707-717, doi:10.1007/s11434-015-0737-8.

Li, Z., S. Feng, Y. Liu, W. Lin, M. Zhang, T. Toto, A. M. Vogelmann, and S. Endo, 2015: Development of Fine-Resolution Analyses and Expanded Large-Scale Forcing Properties. Part I: Methodology and Evaluation. J. Geophys. Res. Atmos., 120, doi:10.1002/2014JD022245.

Feng, S., Z. Li, Y. Liu, W. Lin, M. Zhang, T. Toto, A. M. Vogelmann, and S. Endo, 2015: Development of fine-resolution analyses and expanded large-scale forcing properties: 2. Scale awareness and application to single-column model experiments. J. Geophys. Res. Atmos., 120, doi:10.1002/2014JD022254.

Huang, D., and Y. Liu, 2014: A novel approach for introducing cloud spatial structure into cloud radiative transfer parameterizations. Environ. Res. Lett., 9, 124022, doi:10.1088/1748 9326/9/12/124022.

Lu, C., Liu, Y., Niu, S., S. and Endo, 2014: Scale dependence of entrainment-mixing mechanisms in cumulus clouds.  J. Geophys. Res. Atmos., 119, doi:10.1002/2014JD022265.

Huang, D. and Y. Liu, 2014: Statistical characteristics of cloud variability, Part II: Implication for parameterizations of 1 microphysical and radiative transfer processes in climate models. J. Geophys. Res. Atmos., 119, doi:10.1002/2014JD022003.

Huang, D., Y. Liu, and Comps, 2014: Statistical characteristics of cloud variability, Part I: retrieved cloud Liquid Water Path at 1 three ARM sites. J. Geophys. Res. Atmos, 119, doi:10.1002/2014JD022001.

Xie, Y., Y. Liu, C. Long, Q. Min, 2014: Retrievals of cloud fraction and cloud albedo from surface-based shortwave radiation measurements: A comparison of 16 year measurements. J. Geophys. Res. Atmos, doi:10.1002/2014JD021705.

Song, H. W. Lin, Y. Lin, A. B. Wolf, R. Neggers, L. J. Donner, A. D. Del Genio, and Y. Liu, 2014: Evaluation of Cloud Fractions Simulated by Seven SCMs against the ARM Observation at the SGP Site. J. Climate, 27, 6698-6719.

Wu, W. Y. Liu, M. P. Jensen, T. Toto, M. J. Foster, and C. N. Long, 2014: A comparison of multiscale variations of decade-long cloud fractions from six different platforms over the Southern Great Plains in the United States. J. Geophys. Res. Atmos, 119, 3438-3459, doi:10.1002/2013JD019813.

Liu, Y., P. H. Daum, C. Lu, 2014: Comment on “Cloud Droplet Spectral Width Relationship to CCN Spectra and Vertical Velocity” by Hudson et al JGR. J. Geophys. Res. Atmos, 118, 1874-1877, doi:10.1002/2012JD019207.

Lu, C., Liu, Y., and Niu, S., 2014: Entrainment mixing parameterization in shallow cumuli and effects of secondary mixing events. Sci. Bull., 58, doi: 10.1007/s11434-012-5556-6.

Lu, C., Liu, Y., Niu, S., and Zhao, L., 2013: Examination of microphysical relationships and corresponding microphysical processes in warm fogs. ACTA Meteorologica Sinica, 27, 832-848.

Zhang, M. and co-authors, 2013: CGILS: First results from an international project to understand the physical mechanisms of low cloud feedbacks in general circulation models. JAMES, 4, doi:10.1029/2012MS000182.

Xie, Y., and Y. Liu, 2013: A new approach for simultaneously retrieving cloud albedo and cloud fraction from surface-based shortwave radiation measurements. Environ. Res. Lett, doi:10.1088/1748-9326/8/4/044023.

Song, H. W. Lin, Y. Lin, A. B. Wolf, R. Neggers, L. J. Donner, A. D. Del Genio, and Y. Liu, 2013: Evaluation of Precipitation Simulated by Seven SCMs against the ARM Observation at the SGP Site. J. Climate, 26, 5467-5489.

Li, Z, Z. Zang, Q. B. Li, Y. Chao, D. Chen, Z.Ye, Y. Liu, and K. N. Liou, 2013: A Three-Dimensional Variational Data Assimilation System for Multiple Aerosol Species with WRF/Chem and an Application to PM2.5 Prediction. Atmos. Chem. Phys. 13, 4265-4278, doi:10.5194/acp-13-4265-2013.

Lu, C., Y. Liu, S. Niu, A. Vogelmann, 2013: Empirical relationship between entrainment rate and microphysics in cumulus clouds. Geophys. Res. Lett, 40, 1-6, doi:10.1002/grl.50445.

Lu, C., Liu, Y., and Niu, S,.2013: A method for distinguishing and linking turbulent entrainment mixing and collision-coalescence in stratocumulus clouds. Sci. Bull., 58, 545-551, doi:10.1007/s11434-012-5556-6.

Blossey, P. N., C. S. Bretherton, M., Zhang, A. Cheng, Satoshi Endo, T. Heus, Y. Liu, A. P. Lock, S. R. de Roode, and K. Xu, 2013:: Marine low cloud sensitivity to an idealized climate change: The CGILS LES intercomparison. JAMES, 5, 1-25, doi:10.1002/10.1002/jame.20025.

Liu, G., Y. Liu, and S. Endo, 2013: Evaluation of Surface Flux Parameterizations with Long-Term ARM Observations. Mon. Wea. Rev., 141, 773-797.

Lu, C., Y. Liu, S. Niu, S. Krueger, and T. Wagner, 2013: Exploring parameterization for turbulent entrainment-mixing processes in clouds. J. Geophys. Res. Atmos., 118, 185-194, doi:10.1029/2012JD018464.

Lu, C., Y. Liu, S. Niu, and A. Vogelmann, 2012: Lateral entrainment Rate in Shallow Cumuli: Dependence on Dry Air Sources and Probability Density Functions. Geophys. Res. Lett, 39, L20812, doi:10.1029/2012GL053646.

Lu, C., Y. Liu, S. Niu, A. Vogelmann, 2012: Observed impacts of updraft on cloud microphysics and implications for aerosol indirect effects. Geophys. Res. Lett., 39, L21808, doi:10.1029/2012GL053599.

Wu, Q., ·M. Zhu, ·Y. Gu ·P. Brown, X. Lu, W. Lin, and ·Y. Liu., 2012: A distributed workflow management system with case study of real-life scientifics applications on grids. J. Grid Computing, 10(3), 367-393, doi:10.1007/s10723-012-9222-7.

Huang, D., C. Zhao, M., Dunn, X. Dong, G. G., M. P., Jensen, M. P., S. Xie, and Y. Liu, 2012: An intercomparison of radar-based liquid cloud microphysics retrievals and implication for model evaluation studies. Atmos. Mea. Tech, 5, 1409-1474.

Wu, W., Y. Liu, and A. K. Betts, 2012: Observationally-based evaluation of NWP reanalyses in modeling cloud properties over the Southern Great Plains. J. Geophys. Res. Atmos., 117, D12202, doi:10.1029/2011JD016971.

Lu, C., Y. Liu, S. Yum, S. Niu, and S. Endo, 2012: A New Approach for Estimating Entrainment Rate in Cumulus Clouds. Geophys. Res. Lett, 36, L04802, doi:10.1029/2011GL050546.

Wu, W., Y. Liu, and G. Wen, 2011: Spectral solar irradiance and its entropic effect on Earth's climate. Earth Syst. Dynam. Discuss., 2, 45-70, 201, doi:10.5194/esdd-2-45-2011.

Li, Z., F. Niu, D. Rosenfeld, Y. Liu, and J. Fan, 2011: The long-term impacts of aerosols on the vertical development of clouds and precipitation. Nature-Geoscience, doi:10.1038/NGEO1313.

Lu, C., Y. Liu, and S. Niu, 2011: Examination of turbulent entrainment-mixing mechanisms using a combined approach. J. Geophys. Res. Atmos, 116, D20207, doi:10.1029/2011JD015944.

Liu, Y. and W. Wu, M. Jensen, and T. Toto, 2011: W. Relationship between cloud radiative forcing, cloud fraction and cloud albedo, and new surface-based approach for determining cloud albedo. Atmos. Chem. Phys., 11, 7155-7170, doi:10.5194/acp-11-7155-2011.

Niu, S., C. Lu, Y. Liu, L. Zhao, J. Lv, and J. Yang, 2010: A case study of heavy fog microphysical structure with a droplet spectrometer. Adv. Atmos. Sci., 27, 1259-1275.

Liu, Y, 2010: Comment on “Seasonal Variation of the Physical Properties of Marine Boundary Layer Clouds off the California Coast” by Lin et al. J. Climate, 23, 3416-3420.

Wu, W. and Y. Liu. 2010: Radiation entropy flux and entropy production of the Earth system. Rev. Geophys., 48, RG2003, doi:10.1029/2008RG000275.

Wu, W. and Y. Liu. 2010: A new radiative equilibrium model for investigating atmospheric radiation entropy flux. Phil. Trans. Roy. Soc., B365, 1367-1376, doi:10.1098/rstb.2009.0301.

Niu, S., X. Jia, J. Sang, X. Liu, C. Lu, and Y. Liu, 2010: Distributions of raindrop sizes and fall velocities in a semi-arid plateau climate: convective vs. stratiform rains. J. Appl. Met. Climatol., 49, 632-645.

Huang, D., Liu, Y., and Wiscombe, W., 2010: Replacing pixel representations by point-function schemes for reducing discretization error in ill-posed remote sensing problems, with examples from cloud tomography. Remote Sensing Letters, 1, 95-102.

Huang, D., K. Johnson, Y. Liu, and W. Wiscombe, 2009: Retrieval of cloud liquid water vertical distributions using collocated Ka-band and W-band cloud radars. Geophys. Res. Lett, 36, L24807, doi:10.1029/2009GL041364.

Guo, H, Y. Liu, P. H. Daum, X. Zeng, X.Li, and W. Tao, 2009: Effects of model resolutions on entrainment (inversion heights), cloud-radiation interactions, and cloud radiative forcing. Atmos. Chem. Phys. Discuss., 8, 20399-20425, 2008. doi:10.5194/acpd-8-20399-2008.

Wang, J., P. H. Daum, S. Yum, Y. Liu, G. Senum, M. Lu, J. Seinfeld, and H. Jonsson, 2009: Observations of marine stratocumulus microphysics and implications for processes controlling droplet spectra: results from the Marine Stratus/Stratocumulus Experiment (MASE). J. Geophys. Res. Atmos, 114, D18210, doi:10.1029/2008JD011035.

Rotstayn, L. D., and Y. Liu, 2009: Cloud Droplet Spectral Dispersion and the Indirect Aerosol Effect: Comparison of Two Treatments in a GCM. Geophys. Res. Lett, 36, L10801, doi:10.1029/2009GL038216.