GFDL - Geophysical Fluid Dynamics Laboratory

Bibliography

  1. Chang, Y.-S., S. Zhang, A. Rosati, T. Delworth, and W. F. Stern, March 2012: An assessment of oceanic variability for 1960-2010 from the GFDL ensemble coupled data assimilation, Climate Dynamic, Submitted.
  2. Zhang, Shaoqing,   M. Winton, A. Rosati, T. Delworth
    and B. Huang, 2012: Impact of Enthalpy-Based Ensemble Filtering Sea-Ice Data Assimilation on Decadal Predictions: Simulation with a Conceptual Pycnocline Prediction Model. Journal of Climate. in press.
  3. Chang, Y-S, Anthony Rosati, and Shaoqing Zhang, February 2011: A construction of pseudo salinity profiles for the global ocean: Method and evaluation. Journal of Geophysical Research, 116, C02002, DOI:10.1029/2010JC006386.
  4. Chang, Y-S, Shaoqing Zhang, and Anthony Rosati, July 2011: Improvement of salinity representation in an ensemble coupled data assimilation system using pseudo salinity profiles. Geophysical Research Letters, 38, L13609, DOI:10.1029/2011GL048064.
  5. Zhang, Shaoqing, January 2011: Impact of observation-optimized model parameters on decadal predictions: Simulation with a simple pycnocline prediction model. Geophysical Research Letters, 38, L02702, DOI:10.1029/2010GL046133. 
  6. Zhang, Shaoqing, Z Liu, Anthony Rosati, and Thomas L Delworth, January 2012: A study of enhancive parameter correction with coupled data assimilation for climate estimation and prediction using a simple coupled model. Tellus A, 64, 10963, DOI:10.3402/tellusa.v64i0.10963.  PDF
  7. Zhang, Shaoqing, January 2011: Impact of observation-optimized model parameters on decadal predictions: Simulation with a simple pycnocline prediction model. Geophysical Research Letters, 38, L02702, DOI:10.1029/2010GL046133. 
  8. Zhang, Shaoqing, December 2011:A study of impacts of coupled model initial shocks and state-parameter optimization on climate predictions using a simple pycnocline prediction model. Journal of Climate, 24(23), DOI:10.1175/JCLI-D-10-05003.1. PDF
  9. Zhang, Shoaqing, Anthony Rosati, and Thomas L Delworth, October 2010: The adequacy of observing systems in monitoring AMOC and North Atlantic climate. Journal of Climate, 23(19), doi:10.1175/2010JCLI3677.1.PDF
  10. Zhang, Shoaqing, and Anthony Rosati, October 2010: An inflated ensemble filter for ocean sata assimilation with a biased coupled GCM. Monthly Weather Review,138(10), doi:10.1175/2010MWR3326.1.PDF
  11. Zhang, Shaoqing.,A. Rosati and M. J. Harrison, 2009: Detection of Multi-Decadal Oceanic Variability by Ocean Data
    Assimilation in the context of a “perfect” coupled model. Journal of Geophysical Research, Vol 14 C12018 doi:10.1029/2008JC005261PDF
  12. Zhang, Shaoqing., A. Rosati, M. J. Harrison, R. Gudgel and W. Stern, 2008a: GFDL’s Coupled Ensemble Data Assimialtion System, 1980-2006 Oceanic Reanalysis and Its Impact on ENSO Forecasts. preprint for wcrp3, Jan. 27 – Feb. 2, 2008, Tokyo PDF
  13. Zhang, Shaoqing. and A. Rosati, 2008b: An Ensemble Circulation-Dependent Inflation Filter in a Coupled GCM – Coping with Deep Ocean Biases, Part I: Algorithm Design and Tuning. in press on QJPDF
  14. Zhang, Shaoqing. and A. Rosati, 2008c: An Ensemble Circulation-Dependent Inflation Filter in a Coupled GCM – Coping with Deep Ocean Biases, Part II: Impact on Oceanic Climate Detection. in press on QJPDF
  15. Chang, Y.-S., A. Rosati, S. Zhang, and M. J. Harrison, 2008: Objective analysis of monthly temperature sna aslinaity for the world oncean in the 21st century:
    Comparison with WOA and application to assimilation validation. Submitted to Journal of Geophysical Research Abstract
  16. Zhang, Shaoqing., M. J. Harrison, A. Rosati, and A. Wittenberg, 2007: System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies. Monthly Weather Review, 135(10), 3541-3564. Abstract / PDF
  17. Delworth, T. L.A. RosatiR. J. StoufferK. W. DixonJ. DunneK. FindellP. GinouxA. GnanadesikanC. T. GordonS. M. GriffiesR. GudgelM. J. HarrisonI. M. HeldR. S. HemlerL. W. HorowitzS. A. KleinT. R. KnutsonS-J. LinP. C. D. MillyV. RamaswamyM. D. SchwarzkopfJ. J. SirutisW. F. SternM. J. SpelmanM. WintonA. T. WittenbergB. Wyman, et al., 2006:GFDL’s CM2 Global Coupled Climate Models. Part I: Formulation and simulation characteristics. Journal of Climate,19(5), 643-674. Abstract / PDF
  18. Zhang, S., M. J. Harrison, A. T. WittenbergA. Rosati, J. L. Anderson, and V. Balaji, 2005: Initialization of an ENSO Forecast System using a parallelized ensemble filter. Monthly Weather Review, 133(11), 3176-3201. Abstract / PDF
  19. Zhang, S., J. L. AndersonA. RosatiM. Harrison, S. P. Khare, and A. Wittenberg, 2004: Multiple time level adjustment for data assimilation. Tellus,56A(1), 2-15. Abstract / PDF
  20. Griffies, S. M., M. J. Harrison,R. C. Pacanowski, and A. Rosati, 2004:  A Technical Guide to MOM4. GFDL Ocean Group Technical Report No. 5, Princeton, NJ: NOAA/Geophysical Fluid Dynamics Laboratory, 342 pp. Abstract
  21. Zhang, Shaoqing., and J. L. Anderson, 2003: Impact of spatially and temporally varying estimates of error covariance on assimilation in a simple atmospheric model. Tellus, 55A(2), 126-147. Abstract / PDF
  22. Galanti, E., E. Tziperman, M. Harrison, A. Rosati, and Z. Sirkes, 2003: A study of ENSO Prediction using a hybrid coupled model and the adjoint method for data assimilation. Monthly Weather Review, 131(11), 2748-2764. AbstractPDF
  23. Rosati, A., and M. J. Harrison, 1997: Ocean modelling and data assimilation at GFDL. In CAS/JSC Working Group on Numerical Experimentation – Research Activities in Atmospheric & Oceanic Modelling, Geneva, Switzerland: WMO/ICSU/IOC World Climate Research Programme, Report No. 25, WMO/TD-No. 792, 8.59 – 8.60.
  24. Harrison, M. J., A. Rosati, R. Gudgel, and J. Anderson, 1996: Initialization of coupled model forecasts using an improved ocean data assimilation system. In Preprints, 11th Conference on Numerical Weather Prediction, Boston, MA: American Meteorological Society, 7.
  25. Rosati, A., R. Gudgel, and K. Miyakoda, 1996: Global ocean data assimilation system. In Modern Approaches to Data Assimilation in Ocean Modeling, The Netherlands: Elsevier Science, 181-203. Abstract
  26. Pinardi, N., A. Rosati, and R. C. Pacanowski, 1995: The sea surface pressure formulation of rigid lid models. Implications for altimetric data assimilation studies.Journal of Marine Systems, 6, 109-119. Abstract / PDF
  27. Rosati, A., R. Gudgel, and K. Miyakoda, 1995: Decadal analysis produced from an ocean data assimilation system. Monthly Weather Review, 123(7), 2206-2228. AbstractPDF
  28. Derber, J., and A. Rosati, 1989: A global oceanic data assimilation system.Journal of Physical Oceanography, 19(9), 1333-1347. AbstractPDF