Publications

  1. Adjoint Implementation of Rosenbrock Methods Applied to Variational Data Assimilation Problems
    J. Comput. Phys., 165 (2), pp. 496-510 (2000), Daescu, D. N., G. R. Carmichael, and A. D. Sandu

  2. Retrieval of flow structures in a convective boundary layer using an adjoint identical twin experiment
    J. Atmos. Sci. , 58, pp. 1767-1783 (2001), Lin, C.-L., T. Chai, and J. Sun

  3. The Kinetic PreProcessor KPP -- A Software Environment for Solving Chemical Kinetics
    Computers and Chemical Engineering, 26(11), pp. 1567-1579 (2002), Damian, V., A. Sandu, M. Damian, F. Potra, and G. R. Carmichael

  4. On the smoothness constraints for four-dimensional data assimilation
    J. Comput. Phys. , 181, pp. 430-453 (2002), Lin, C.-L., T. Chai, and J. Sun

  5. Adjoint data assimilation for aerosol dynamic equations
    In Proceedings of 2nd International Conference on Air Pollution Modeling and Simulation, April 9-13, 2001, Paris, France, Bruno Sportisse (Ed.), Springer-Verlag, ISBN: 3540425152, pp. 319-331 (2002), Sandu, A., D. Daescu, and G. R. Carmichael

  6. A commmunication library for the parallelization of air quality models on structured grids
    Atmos. Environ. , 36, pp. 3917-3930 (2002), Miehe, P., A. Sandu, G. R. Carmichael, Y. Tang, and D. Daescu

  7. Second Order Information in Data Assimilation
    Monthly Weather Review, 130(3), pp. 629-648 (2002), Le Dimet, F.-X., I. M. Navon, and D. N. Daescu

  8. An Adjoint Sensitivity Method for the Adaptive Location of the Observations in Air Quality Modeling
    J. Atmos. Sci., 60, pp. 434-449 (2003), Daescu, D. N. and G. R. Carmichael

  9. Direct and Adjoint Sensitivity Analysis of Chemical Kinetic Systems with KPP: I - Theory and Software Tools
    Atmos. Environ. 37(36), pp. 5083-5096 (2003), Sandu, A., D. N. Daescu, and G. R. Carmichael

  10. Direct and Adjoint Sensitivity Analysis of Chemical Kinetic Systems with KPP: II - Numerical Validation and Applications
    Atmos. Environ. 37(36), pp. 5097-5114 (2003), Daescu, D. N., A. D. Sandu, and G. R. Carmichael

  11. Estimation of turbulent viscosity and diffusivity in adjoint recovery of atmospheric boundary layer flow
    Multiscale Model. and Simul.,1(2), pp. 196-220 (2003), Chai, T. and C.-L. Lin

  12. Computational aspects of chemical data assimilation into atmospheric models
    In International Conference on Computational Science - ICCS 2003, Melbourne, Australia and St. Petersburg, Russia, Proceedings, Part IV, pp. 269-278 (2003), Carmichael, G. R., D. Daescu, A. Sandu, and T. Chai

  13. An analysis of a hybrid optimization method for variational data assimilation
    International Journal of Computational Fluid Dynamics,17(4), pp. 299-306 (2003), Daescu, D. N., and I. M. Navon

  14. A framework for the numerical treatment of aerosol dynamics
    Applied Numerical Mathematics, 45(4), pp. 475-497 (2003), Sandu, A., and C. Borden

  15. Adaptive Observations in the Context of 4D-Var Data Assimilation
    Meteorology and Atmospheric Physics, 85(4), pp. 205-226 (2004), Daescu, D. N. and I. M. Navon

  16. Retrieval of microscale flow structures from high resolution Doppler lidar data using an adjoint model
    J. Atmos. Sci. 61(13), pp. 1500-1520 (2004), Chai, T., C.-L. Lin, and R. K. Newsom

  17. Meteorological Research Needs for Improved Air Quality Forecasting: Report of the 11th Prospectus Development Team of the U.S. Weather Research Program
    Bulletin of the American Meteorological Society, 85(4), pp. 563+, (2004), Dabberdt, W. F., etc.

  18. Computational aspects of data assimilation for aerosol dynamics
    Lecture Notes in Computer Science, 3038, pp. 709-716 (2004), Sandu, A., W. Liao, G. R. Carmichael, D. Henze, J. H. Seinfeld, T. Chai, and D. Daescu

  19. Inverse Modeling of Aerosol Dynamics: Condensational Growth
    J. Geophys. Res., 109(D14), Art. No. D14201 (2004), Henze, D. K., J. H. Seinfeld, W. Liao, Sandu, A., and G. R. Carmichael

  20. Adjoint sensitivity analysis of regional air quality models
    J. Comput. Phys., 204(1), pp. 222-252 (2005), Sandu, A., D. N. Daescu, G. R. Carmichael, and T. Chai

  21. Adjoint inverse modeling of black carbon during ACE-ASIA
    J. Geophys. Res., 110, Art. No. D14301, doi:10.1029/2004JD005671 (2005), Hakami A., D. K. Henze, J. H. Seinfeld, T. Chai, Y. Tang, G. R. Carmichael, and A. Sandu

  22. Ensemble-based data assimilation for atmospheric chemical transport models
    Lecture Notes in Computer Science, 3515, pp. 648-655 (2005), A. Sandu, E. M. Constantinescu, W. Liao, G. R. Carmichael, T. Chai, J. H. Seinfeld, and D. N. Daescu

  23. Assessment of an ensemble of seven real-time ozone forecasts over eastern North America during the summer of 2004
    J. Geophys. Res., 111, Art. No. D21307, doi:10.1029/2005JD005858 (2005), McKeen, S. et al.

  24. Chemical data assimilation of TRACE-P aircraft measurements
    J. Geophys. Res., 111, Art. No. D02301, doi:10.1029/2005JD005883 (2006), Chai, T., G. R. Carmichael, A. Sandu, Y. Tang, and D. N. Daescu

  25. Technical note: Simulating chemical systems in Fortran90 and Matlab with the Kinetic PreProcessor KPP-2.1
    Atmos. Chem. Phys., pp. 187-195 (2006), A. Sandu and R. Sander

  26. Adjoint Sensitivity Analysis of Ozone Nonattainment over the Continental United States
    Environ. Sci. Technol., 40(12), pp. 3855-3864, doi:10.1021/es052135g (2006), Hakami, A., J. H. Seinfeld, T. Chai, Y. Tang, G. R. Carmichael, and A. Sandu

  27. Total energy singular vector analysis with atmospheric chemical transport models
    Monthly Weather Review, in press, Liao, W., A. Sandu, G. R. Carmichael, and T. Chai

  28. Four Dimensional Data Assimilation Experiments with ICARTT (International Consortium for Atmospheric Research on Transport and Transformation) Ozone Measurements
    J. Geophys. Res., submitted, Chai, T., G. R. Carmichael, Y. Tang, A. Sandu, M. Hardesty, P. Pilewskie, S. Whitlow, E. V. Browell, M. A. Avery, V. Thouret, P. Nedelec, J. T. Merrill, and A. M. Thompson

  29. Predicting Air Quality: Current Status and Future Directions
    J. Comput. Phys., submitted G. R. Carmichael, A. Sandu, T. Chai, D. N. Daescu, E. M. Constantinescu, and Y. Tang

  30. Ensemble-based Chemical Data Assimilation I: General Approach
    Quart. J. Roy. Meteor. Soc., submitted Constantinescu E. M., A. Sandu, T. Chai, and G.R. Carmichael

  31. Ensemble-based Chemical Data Assimilation II: Covariance Localization
    Quart. J. Roy. Meteor. Soc., submitted Constantinescu E. M., A. Sandu, T. Chai, and G.R. Carmichael

Revised: 8/1/06 by Tianfeng Chai