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Zhijin Li's Picture
Address:
Jet Propulsion Laboratory
M/S 300-323
4800 Oak Grove Drive
Pasadena, CA 91109
Phone:
818.393.9058
Fax:
818.393.6720
Email:

Zhijin Li

Research Interests
  • Conceptual development and mathematical formulation of atmospheric and oceanic data assimilation algorithms
  • Implementation of advanced data assimilation algorithms for real-time forecasting systems
  • Parallel computing of atmospheric and oceanic modeling and adjoint systems
  • Development and application of adjoint models associated with sophisticated atmospheric and oceanic models and their physics
  • Predictability

Projects

OurOcean Icon OurOcean
The JPL OurOcean Portal provides both real-time and retrospective analysis of remote sensing data and ocean model simulations in the Pacific Ocean.


Professional Experience
  • Jet Propulsion Laboratory - Technical Staff (2006-present)
  • Jet Propulsion Laboratory and Raytheon - Senior Physics Engineer (2001-2006)
  • Florida State University (1996-2001)
    • Research Associate, School of Computational Science Information Technology (2000-2001)
    • Postdoctoral Research Associate, Supercomputer Computations Research Institute (1996-2000)
  • Chinese Academy of Sciences, Beijing, China - Associate Professor, Institute of Atmospheric Physics (1994-1996)

Selected Publications
  1. Chao, Y., Z. Li, J. D. Farrara, and P. Huang, 2009: Blended sea surface temperatures from multiple satellites and in-situ observations for coastal oceans. J. Atmos. Oceanic Technol., 10.1175/2009JTECHO592.1
  2. Chao, Y., Z. Li, J. Farrara, J.C. McWilliams, and co-authors, 2008: A Real-time ocean forecasting system for the Monterey Bay, California. Deep Sea Research, doi:10.1016/j.dsr2.2008.08.011.
  3. Chao, Y., Z . Li, J.D. Farrara, M.A. Moline and O.M.E. Schofield, 2008: Synergistic applications of autonomous underwater vehicles and Regional Ocean Modeling System in coastal ocean forecasting. Limnol Oceanogr., 53, 2251-2263.
  4. Ramp, S.R, P. Lermusiaux, R. E. Davis, Y. Chao, D. Fratantoni, N.E. Leonard, J.D. Paduan, F. Chavez, I. Shulman, J. Marsden, W. Leslie, and Z. Li, 2009: The Autonomous Ocean Sensing Network (AOSN) predictive skill experiment in the Monterey Bay, Deep Sea Research, doi:10.1016/j.dsr2.2008.08.013.
  5. Li, Z., Y. Chao, J.C. McWilliams, and K. Ide, 2008: A three-dimensional variational data assimilation scheme for the Regional Ocean Modeling System. J. Atmos. Oceanic Tech., 25, 2074-2090.
  6. Li, Z., Y. Chao, J.C. McWilliams, and K. Ide, 2008: A three-dimensional variational data assimilation scheme for the Regional Ocean Modeling System: Implementation and basic experiments. J. Geophy. Res., doi:10.1029/2006JC004042.
  7. Li, Z., Y. Chao, and J.C. McWilliams, 2006: Computation of the streamfunction and velocity potential for limited and irregular domains. Mon. Weather. Rev., 134, 3384-3394.
  8. Li, Z., I. M. Navon, and Y.M. Hussaini, 2004: Analysis of the singular vectors of the full-physics FSU global spectral model. Tellus A, 57, 560-574.
  9. Chao, Y., Z. Li, J. Kindle, F. Chavez, and J. Paduan, 2003: A high-resolution surface vector wind product forcoastal oceans: Blending satellite scatterometer measurements with regional mesoscale atmospheric model simulations. Geophys. Res. Lett., 30, 1013, doi10.1029/2002GL015729.
  10. Li, Z., I.M. Navon, Y.M. Hussaini, and F.-X. Le Dimet, 2002: Optimal Control of Cylinder wakes via suction and blowing. The Computer & Fluid, 32, 149-171.
  11. Homescu C, Navon IM, Li Z, 2002: Suppression of vortex shedding for flow around a circular cylinder using optimal control. Internat. J. Numer. Methods Fluids, 38, 43-69.
  12. Li, Z., and I. M. Navon, 2001: Optimality of Variational Data Assimilation and Its Relationship with the Kalman Filter and Kalman Smoother. Quart. J. Roy. Meteorol. Soc., 127, 661-684.
  13. Li, Z., I. M. Navon, and Y. Zhu, 2000: Performance of 4D-Var Strategies Using the FSU Global Spectral Model with Its Full Physics Adjoint. Mon. Wea. Rev., 128, 668-688.
  14. Li, Z., A. Barcilon, and I. M. Navon, 1998: Study of Block Onset Using Sensitivity Perturbations in Climatological Flows. Mon. Wea. Rev., 127, 879-900.
  15. Li, Z., and I. M. Navon, 1998: Adjoint Sensitivity of the Earth's Radiation Budget in the NCEP/MRF Model. J. Geophy. Res., 103 (D4), 3801-3814.
  16. Li, Z., and L. Ji, 1997: Efficient Forcing and Teleconnection Patterns. Quart. J. Roy. Meteorol. Soc., 123, 2401-2423.
  17. Yang, Y., Z. Li, and L. Ji, 1997: Adjoint Sensitivity Analysis on the Anomalous Circulation Features in East Asia Summer Monsoon. Adv. Atmos. Sci., 14, 111-123.
  18. Li, Z., and L. Ji, 1996: Internal Dynamics of the Generation of Atmospheric Teleconnection Patterns. Adv. Atmos. Sci., 13, 19-29.
  19. Li, Z., and L. Ji, 1996: Analysis of the Dependence of Predictability on Spatial and Temporal Scales from the Operational Forecast. Chinese J. Atmos. Sci., 20, 526-539.
  20. Li, Z., and L. Ji, 1996: Efficient Forcings for Steady and Linear Problems and Dynamics of Teleconnections. ACTA Meteorologica Sinica, 54, 415-426.

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