Shian-Jiann Lin

The native form of this personal name is Lin Shian-Jiann. This article uses Western name order when mentioning individuals.

Shian-Jiann Lin
Born	1958 (age 66–67) Taipei, Taiwan
Nationality	American
Alma mater	National Taiwan University (BS) University of Oklahoma (MS) Princeton University (MA, PhD)
Known for	Weather 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]

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".
25. American Meteorological Society: 2018 Awards and Honors Recipients

External links

• Publications at GFDL