
bibliography
- Zhang, S., 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 - Zhang, S. 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 QJ
PDF - Zhang, S. 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 QJ
PDF - Zhang, S.,A. Rosati and M. J.
Harrison,
2008d: Detection of Multi-Decadal Oceanic Variability within a Coupled
Ensemble Data Assimilation System. In press on JGR-Oceans
PDF - 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
- Zhang, S., 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.
- Delworth, T. L., A. Rosati, R. J. Stouffer, K. W. Dixon, J. Dunne, K. 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, S-J. Lin, P. C. D. Milly, V. Ramaswamy, M. D. Schwarzkopf, J. J. Sirutis, W. F. Stern, M. J. Spelman, M. Winton, A. T. Wittenberg, B. Wyman, et al., 2006: GFDL's CM2 Global Coupled Climate Models. Part I: Formulation and simulation characteristics. Journal of Climate, 19(5), 643-674.
- Zhang, S., M. J. Harrison, A. T. Wittenberg, A. 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.
- Zhang, S., J. L. Anderson, A. Rosati, M. Harrison, S. P. Khare, and A. Wittenberg, 2004: Multiple time level adjustment for data assimilation. Tellus, 56A(1), 2-15.
- 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.
- Zhang, S., 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Rosati, A., R. Gudgel, and K. Miyakoda, 1995: Decadal analysis produced from an ocean data assimilation system. Monthly Weather Review, 123(7), 2206-2228.
- Derber, J., and A. Rosati, 1989: A global oceanic data assimilation system. Journal of Physical Oceanography, 19(9), 1333-1347.
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