Dr. Jiun-Dar Chern

Associate Research Scientist, ESSIC UMCP
Mesoscale Atmospheric Processes Laboratory (Code 612)
NASA Goddard Space Flight Center
Greenbelt, MD 20771
Tel: (301) 614-6175
E-mail: Jiun-Dar.Chern-1@nasa.gov



  • 1994 Ph. D. Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, IN
  • 1989 M. S. Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, IN
  • 1984 B. S. Department of Atmospheric Sciences, National Taiwan University, Taipei


Professional Experience:

  • Associate Research Scientist, NASA/GSFC and GESTAR/Morgan State University, 2011-present.
  • Associate Research Scientist, NASA/GSFC and GEST/UMBC, 2000-2011
  • Postdoc, Purdue University, 1994-2000



  • NASA/GSFC Earth Science Division Outstanding Scientific Award, Dec., 2011
  • NASA/GSFC Mesoscale Atmospheric Processes Branch Exceptional Science Support Award, Jan., 2010
  • NASA/GSFC Mesoscale Atmospheric Processes Branch Exceptional Science Support Award, Dec., 2006
  • NASA/GSFC GMAO/SRT Group Achievement Award, Dec. 16, 2003
  • NASA/GSFC Laboratory for Atmospheres Scientific Modeling Development Award, July, 2003
  • NASA/GSFC DAO/SRT Outstanding Performance Award, Jan., 2002


Relevant Work Experience and Skills:

Has more than 20 years of experience in numerical modeling including mesoscale, global climate, and cloud modeling. He is the primary developer of the Purdue Mesoscale Model (PMM) and the Purdue Regional Climate Model (PRCM) when he was a graduate student and post-doctor at Purdue University. Over the past 10 year at NASA/GSFC, he has been working on improvements to the Goddard global atmospheric models (GEOS-4 and GEOS-5) and the cloud-resolving model (GCE). He developed the Goddard Multi-scale Modeling Framework (MMF) (or super-parameterization) based on GEOS-4 and two-dimensional GCE models. Recently, he successfully implemented GEOS-5 into the MMF system based on the ESMF framework.



  1. Tao, W.-K., S. Lang, X. Zeng, X. Li, T. Matsui, K. Mohr, D. Posselt, J. Chern, P. Norris, I.-S. Kang, I. Choi, and M. Yang, 2014:  The Goddard Cumulus Ensemble (GCE) Model:  Improvements and applications for Studying Precipitation Processes. Atmos. Res., 143, 392-424. DOI: 10.1016/j.atmosres.2014.03.005
  2. Mohr, K. I., W.-K. Tao, J.-D. Chern, S.V. Kumar, and C. D. Peters-Lidard, 2012: The NASA-Goddard Multi-scale Modeling Framework-Land Information System: Global land/atmosphere interaction with resolved convection. Environmental Modelling & Software, doi:10.1016/j.envsoft.2012.02.023.
  3. Tao, W.-K., J.-D. Chern, R. Atlas, D. Randall, X. Lin, M. Khairoutdinov, J.-L. Li, D. E. Waliser, A. Hou, C. Peters-Lidard, W. Lau, and J. Simpson, 2009: A Multi-scale modeling system: Development, applications and critical issues. Bull. Amer. Meteor. Soc., 90, 515-534.
  4. Tao, W.-K., J.-D. Chern, A. Hou, S. Lang, W. Lau, C. Peters-Lidard, X. Li, T. Matsui, B.-W. Shen, J. J. Shi, and X. Zeng, 2009: A Goddard Multi-Scale Modeling System with Unified Physics. Annales Geophysicae, 27, 3055-3064.
  5. Tao, W.-K., D. Anderson, R. Atlas, J. Chern, P. Houser, A. Hou, S. Lang, W. Lau, C. Peters-Lidard, R. Kakar, S. Kumar, W. Lapenta, X. Li, T. Matsui, M. Rienecker, B.-W. Shen, J. J. Shi, J. Simpson, and X. Zeng, 2008: A Goddard Multi-Scale Modeling System with Unified Physics, GEWEX Newsletter, 18, No. 1, 6-8.
  6. Chen, W.-T., C. P. Woods, J.-L. F. Li, D. E. Waliser, J.-D. Chern, W.-K. Tao, J. H. Jiang, and A. M. Tompkins 2011: Partitioning CloudSat ice water content for comparison with upper tropospheric ice in global atmospheric models, J. Geophys. Res., 116, D19206, doi:10.1029/2010JD015179.
  7. Sun, W.-Y., and J.-D. Chern, 2010: One-dimensional sea ice-ocean model applied to SHEBA experiment in 1997-1998 winter. Terrestrial, Atmospheric & Oceanic Sciences, 21, 1-15.
  8. Sun, W.-Y., Hsu W.-R., J.-D. Chern, S.-H. Chen, C.-C. Wu, K. Yang, K.-S. Yen, M. G. Bosilovich, P. A. Haines. K.-H. Min, T.-J. Oh, B. T. MacCall, A. Yildirim, Y.-L. Chang, C.-Z. Chang, and Y.-C. Yu, 2008: Purdue atmospheric models and applications. Recent Progress in Atmospheric Sciences with Applications to the Asia-Pacific Region. K.-N. Liou and M.-D. Chou, Eds., World Scientific, 200-228.
  9. Li, J.-L., D. Waliser, C. Woods, J. Teixeira, J. Bacmeister, J. Chern, B.-W. Shen, A. Tompkins, W.-K. Tao, M. Kohler (2008), Comparisons of satellites liquid water estimates to ECMWF and GMAO analyses, 20th century IPCC AR4 climate simulations, and GCM simulations, Geophy. Res. Lett., 35, L19710, doi:10.1029/2008GL035427, 2008.
  10. Waliser, D. E., J. F. Li, C. Woods, R. Austin, J. Bacmeister, J. Chern, A. D. Genio, J. Jiang, Z. Kuang, H. Meng, P. Minnis, S. Platnick, W. B. Rossow, G. Stephens, S. Sun-Mack, W.-K. Tao, A. Tompkins, D. Vane, C. Walker, D. Wu, 2008: Cloud Ice: A Climate Model Challenge With Signs and Expectations of Progress, J. Geoph. Res., 114, D00A21, doi:10.1029/2008JD010015.
  11. Shen, B.-W., R. Atlas, O. Reale, S.-J. Lin, J.-D. Chern, J. Chang, C. Hense, and J.-L. Li, 2006: Hurricane forecasts with a global mesoscale-rosolving model: Preliminary Results with Hurricane Katrina (2005). Geophy. Res. Lett., 33, L13813, doi:10.1029/2006GL026143.
  12. Shen, B.-W., R. Atlas, J.-D. Chern, O. Reale, S.-J. Lin, T. Lee, and J. Chang, 2006: The 0.125 degree finite-volume general circulation model on the NASA Columbia supercomputer: Preliminary simulations of mesoscale vortices. Geophy. Res. Lett., 33, L05801, doi:10.1029/2005GL024594.
  13. Sun, W. Y. and J.-D. Chern, 2005: Validation of a one-dimensional snow-land surface model at the Sleepers river watershed. Boundary-Layer Meteo., 116, 95-115.
  14. Atlas, R. Atlas, O. Reale, B.-W. Shen, S.-J. Lin, J.-D. Chern, W. Putman, T. Lee, K.-S. Yeh, M. Bosilovich, and J. Radakovich, 2005: Hurricane forecasting with the high-resolution NASA finite volume general circulation model. Geophys. Res. Lett., 32, L03807, doi:10.1029/2004GL021513.
  15. Bloom, S., A. da Silva, D. Dee, M. Bosilovich, J.-D. Chern, S. Pawson, S. Schubert, M. Sienkiewicz, I. Stajner, W.-W. Tan, M.-L. Wu, 2005. Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4. Technical Report Series on Global Modeling and Data Assimilation 104606, 26.