Lawrence Livermore National Laboratory

Yunyan Zhang

Staff Scientist
Atmospheric, Earth and Energy Division

 +1 925-422-5778

Ph.D. Atmospheric Science
University of California at Los Angeles
B.S. Atmospheric Science
Peking University, Beijing, CHINA

Research Interests

clouds and convection; land-atmosphere-cloud interaction; low-cloud climate feedback; aerosol indirect effect

It has always been fascinating for me to study the life cycle of clouds. My research interest includes convection and precipitation, as well as the interaction among land surface, atmospheric boundary layer and clouds. I make observational analysis using both in-situ and remote sensing data from field campaigns or longterm observations at DOE ARM climate facilities. I perform numerical modeling and analysis using fine-scale modeling tools such as large eddy simulations (LES), as well as global climate models (GCM) with parameterized cloud and convection processes or super-parameterization such as Multi-scale Modeling Framework (MMF). I also develop forcing data sets to drive cloud resolving model or single-column model through constrained variational analysis (CVA) to support DOE ARM/ASR cloud modeling activity for various field campaigns.

Honors and Awards

  • Spot Award, Atmospheric, Earth and Energy Division, PLS, LLNL, 2016
  • Early Career Research Program award, Department of Energy, 2015
  • Chancellor Dissertation Fellowship, 2005, University of California, Los Angeles
  • IGPP Fellowship, 1999-2001, University of California, Los Angeles
  • Chancellor Fellowship, 1999,University of California, Los Angeles

Selected Publications

Zhang, Y., S. A. Klein, J. Fan, A. Chundra, P. Kollias, S. Xie and S. Tang, 2016: Large-eddy simulation of shallow cumulus clouds over land: A composite case based on ARM long-term observations at its Southern Great Plains site. Submitted to Journal of Atmospheric Sciences.

Ciesielski, P. E., R. H. Johnson, X. Jiang, Y. Zhang and S. Xie, 2016: Relatioships between radiation, clouds and convection during DYNAMO. In review, Journal of Geophysical Research, Atmospheres.

Tang, S., S. Xie, Y. Zhang, M. Zhang, C. Schumacher, H. Upton, M. P. Jensen, K. L. Johnson, M. Wang, Maike Algorithm, Z. Feng, P. Minnis and M. Thieman, 2016: Large-Scale Vertical Velocity, Diabatic Heating and Drying Profiles Associated with Seasonal and Diurnal Variations of Convective Systems Observed in the GoAmazon2014/5 Experiment. In review, Atmospheric Chemistry and Physics.

Ma, H.-Y., C. C. Chuang, S. A. Klein, M.-H. Lo, Y. Zhang, S. Xie, X. Zheng, P.-L. Ma, Y. Zhang, and T. J. Phillips, 2015: An improved hindcast approach for evaluation and diagnosis of physical processes in global climate models, J. Adv. Model. Earth Syst., 7, 1810–1827, doi: 10.1002/2015MS000490.

Muhlbauer, A., T. P. Ackerman, R. P. Lawson, S. Xie, and Y. Zhang, 2015: An observationally-based study case of midlatitude cirrus for cloud-permitting and cloud-resolving models. J. Geophys. Res. Atmos., 120, 6597–6618. doi: 10.1002/2014JD022570.

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: 1. Case study development and ensemble large-scale forcings. J. Geophys. Res. Atmos., 120, 5962–5992. doi: 10.1002/2014JD022713.

Jensen, M. P., T. Toto, D. Troyan, P. E. Ciesielski, D. Holdridge, J. Kyrouac, J. Schatz, Y. Zhang, and S. Xie, 2015: The Midlatitude Continental Convective Clouds Experiment (MC3E) sounding network: operations, processing and analysis, Atmos. Meas. Tech., 8, 421-434, doi: 10.5194/amt-8-421-2015, 2015.

Xie, S., Y. Zhang, S. Giangrande, M. Jensen, R. McCoy, and M. Zhang, 2014: Interactions between Cumulus Convection and Its Environment as Revealed by the MC3E Sounding Array. J. Geophys. Res. Atmos., doi: 10.1002/2014JD022011.

Zhang, Y. and S. A. Klein, 2013: Factors controlling the vertical extent of fair-weather non-precipitating shallow cumulus: Investigation of diurnal-cycle observations collected at the ARM Southern Great Plains site. Journal of Atmospheric Sciences. Vol. 70, 1297–1315.

Caldwell, P., Y. Zhang and S. A. Klein, 2013: CMIP3 low cloud feedback interpreted through a mixed-layer model. Journal of Climate. Vol. 26, 1607-1625.

Kennedy, A. D., X. Dong, B. Xi, S. C. Xie, Y. Zhang and J. Chen, 2011: A comparison of MERRA and NARR reanalysis with the DOE ARM SGP data. Journal of Climate, Vol. 24, 4541-4557.

Zhang, Y., S. A. Klein, 2010: Mechanisms affecting transition from shallow to deep convection over land: Inferences from observations of the diurnal cycle collected at the ARM Southern Great Plains site. Journal of Atmospheric Sciences, Vol. 67, 2943—2959.

Zhang, Y., B. Stevens, B. Medeiros, and M. Ghil, 2009: Low-cloud fraction, lower-tropospheric stability and large-scale divergence. Journal of Climate. Vol. 22, 4827-4844.

Zhang, Y., S. A. Klein, C. Liu, B. Tian, R. Marchand, J. Haynes, R. McCoy, Y. Zhang, and T. P. Ackerman, 2008: On the diurnal cycle of deep convection, high clouds and the upper troposphere water vapor in the Multi-scale Modeling Framework. Journal of Geophysical Research, Atmospheres. Vol. 113, D16105, doi:10.1029/2008JD009905.

Stevens, B., et al and Y. Zhang, 2007: On the structure of the lower troposphere in the summertime stratocumulus regime of the northeast Pacific, Monthly Weather Review, Vol. 135, 985-1005.

Zhang, Y., B. Stevens, and M. Ghil, 2005: On the Diurnal Cycle and Susceptibility to Aerosol Concentration in a Stratocumulus-Topped Mixed Layer. Quarterly Journal of Royal Meteorological Society, Vol. 131, 1567-1584.

Liu, S., P. Wen, Y. Zhang, Z. Hong, F. Hu, and H. Liu 2002: Sensitivity tests of interaction between land surface physical process and atmospheric boundary layer. Acta Meteorologica Sinica, CSCD, 16(4), 451-469

Last update: