Shian-Jiann Lin

Last updated
Shian-Jiann Lin
Born1958 (age 66–67)
Taipei, Taiwan
Alma mater National Taiwan University (BS)
University of Oklahoma (MS)
Princeton University (MA, PhD)
Known forWeather and Climate Model Development; FV3 Dynamical Core
Scientific career
Fields Geophysical fluid dynamics
Institutions Goddard Space Flight Center, Geophysical Fluid Dynamics Laboratory
Doctoral advisor Raymond Pierrehumbert

Shian-Jiann Lin (born 1958) is a Taiwanese-American atmospheric scientist and meteorologist. He is currently the head of the Weather and Climate Dynamics Division at the Geophysical Fluid Dynamics Laboratory, the lead developer of the GFDL Finite-Volume Cubed-Sphere Dynamical Core (FV3) [1] [2] [3] and a lead developer or key contributor to several weather and climate models developed using FV3. [4] [5]

Contents

Education and career

Lin earned a Bachelor of Science (B.S.) from National Taiwan University. He also holds a master's degree in aeronautical engineering from the University of Oklahoma and a doctorate in geophysical fluid dynamics from Princeton University. [6] After a postdoctoral position at the Center for Analysis and Prediction of Storms at the University of Oklahoma he became a scientist at the Laboratory for Atmospheres at NASA's Goddard Space Flight Center, where he developed the Lin and Rood advection scheme, [7] which forms the basis for the community GOCART [8] and GEOS-Chem [9] transport models, and the Finite-Volume (FV) Dynamical Core, [10] which was used in earlier versions of the Goddard Earth Observing System and of the Geophysical Fluid Dynamics Laboratory Coupled Model, [11] both since upgraded to FV3, [12] [13] [14] and is still used in the second release of the Community Earth System Model. [15]

Lin joined GFDL in 2003. He has since led development of FV3, the extension of FV onto a cubed-sphere grid, [16] and a relaxation of the hydrostatic assumption to allow explicit simulation of vertical accelerations. A collaboration with Goddard led to the first global cloud-resolving simulations [17] performed in the US. Lin's continued model development has led to the prediction models HiRAM [18] and fvGFS. [19] The latter is a prototype for the Next-Generation Global Prediction System (NGGPS), [20] for which FV3 was selected after a two-year evaluation period. It was found that FV3 produced more accurate forecasts with better numerical stability compared to competing dynamical cores without sacrificing realism, efficiency, or effective resolution. [21] [22] The first operational NGGPS model, an FV3-based Global Forecast System, [23] became operational on 12 June 2019. [24]

In 2018 Lin was named a fellow of the American Meteorological Society. [25]

References

  1. ↑ GFDL FV3 Website
  2. ↑ P. Voosen, "The weather master ", Science, 14 April 2017
  3. ↑ T. E. Weber, "The U.S. Desperately Needs a Better Way to Predict Storms. One Scientist Might Have the Solution." Time, 9 August 2018
  4. ↑ Zhou, Linjiong, Shian-Jiann Lin, Jan-Huey Chen, Lucas Harris, Xi Chen, and Shannon L Rees, in press: Toward Convective-Scale Prediction within the Next Generation Global Prediction System. Bulletin of the American Meteorological Society. DOI:10.1175/BAMS-D-17-0246.1. March 2019.
  5. ↑ Zhao, Ming, Isaac M Held, Shian-Jiann Lin, and Gabriel A Vecchi, December 2009: Simulations of global hurricane climatology, interannual variability, and response to global warming using a 50km resolution GCM. Journal of Climate, 22(24), DOI:10.1175/2009JCLI3049.1.
  6. ↑ NASA
  7. ↑ Lin, S. and R.B. Rood, 1996: Multidimensional Flux-Form Semi-Lagrangian Transport Schemes. Mon. Wea. Rev., 124, 2046–2070
  8. ↑ Ginoux, P., Chin, M., Tegen, I., Prospero, J. M., Holben, B., Dubovik, O., and Lin, S.‐J. (2001), Sources and distributions of dust aerosols simulated with the GOCART model, J. Geophys. Res., 106( D17), 20255–20273
  9. ↑ "GEOS-Chem Overview".
  10. ↑ Lin, S., 2004: A “Vertically Lagrangian” Finite-Volume Dynamical Core for Global Models. Mon. Wea. Rev., 132, 2293–2307
  11. ↑ Delworth, T.L., A.J. Broccoli, A. Rosati, R.J. Stouffer, V. Balaji, J.A. Beesley, W.F. Cooke, K.W. Dixon, J. Dunne, K.A. Dunne, J.W. Durachta, K.L. Findell, P. Ginoux, A. Gnanadesikan, C.T. Gordon, S.M. Griffies, R. Gudgel, M.J. Harrison, I.M. Held, R.S. Hemler, L.W. Horowitz, S.A. Klein, T.R. Knutson, P.J. Kushner, A.R. Langenhorst, H. Lee, S. Lin, J. Lu, S.L. Malyshev, P.C. Milly, V. Ramaswamy, J. Russell, M.D. Schwarzkopf, E. Shevliakova, J.J. Sirutis, M.J. Spelman, W.F. Stern, M. Winton, A.T. Wittenberg, B. Wyman, F. Zeng, and R. Zhang, 2006: GFDL's CM2 Global Coupled Climate Models. Part I: Formulation and Simulation Characteristics. J. Climate, 19, 643–674
  12. ↑ Zhao, M., Golaz, J.‐C., Held, I. M., Guo, H., Balaji, V., Benson, R., et al. ( 2018). The GFDL global atmosphere and land model AM4.0/LM4.0: 1. Simulation characteristics with prescribed SSTs. Journal of Advances in Modeling Earth Systems, 10, 691– 734.
  13. ↑ Freitas, S. R., Grell, G. A., Molod, A., Thompson, M. A., Putman, W. M., Santos e Silva, C. M., & Souza, E. P. ( 2018). Assessing the Grell‐Freitas convection parameterization in the NASA GEOS modeling system. Journal of Advances in Modeling Earth Systems, 10, 1266– 1289.
  14. ↑ "GMAO - Global Modeling and Assimilation Office Research Site".
  15. ↑ "Community Atmosphere Model version 6: Status update" (PDF). www.cesm.ucar.edu. Archived from the original (PDF) on 2019-12-20.
  16. ↑ Putman, W.M. and Lin, S.J., 2007. Finite-volume transport on various cubed-sphere grids. Journal of Computational Physics, 227(1), pp.55-78.
  17. ↑ Putman, W. M., and Suarez, M., 2011. Cloud‐system resolving simulations with the NASA Goddard Earth Observing System global atmospheric model (GEOS‐5), Geophys. Res. Lett., 38, L16809
  18. ↑ Chen, Jan-Huey, and Shian-Jiann Lin, June 2011: The remarkable predictability of inter-annual variability of Atlantic hurricanes during the past decade. Geophysical Research Letters, 38, L11804
  19. ↑ Chen, J.‐H., Lin, S.‐J., Magnusson, L., Bender, M., Chen, X., Zhou, L., et al., 2019. Advancements in hurricane prediction with NOAA's next‐generation forecast system. Geophysical Research Letters, 46.
  20. ↑ Next Generation Global Prediction System (NGGPS)
  21. ↑ Next Generation Global Prediction System (NGGPS): Phase 2 Atmospheric Dynamic Core Evaluation
  22. ↑ Next Generation Global Prediction System (NGGPS): Phase 2 Atmospheric Dynamic Core Evaluation Briefing
  23. ↑ FV3GFS OFFICIAL EVALUATION
  24. ↑ "NOAA to develop new global weather model | National Oceanic and Atmospheric Administration". 27 July 2016.
  25. ↑ American Meteorological Society: 2018 Awards and Honors Recipients
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