The ECMWF perspective

Ocean Weather Forecasting: An Integrated View of Oceanography

Volumn , Issue , 2006, Pages 361-379

  Anderson, David ^a   Balmaseda, Magdalena ^a   Vidard, Arthur ^a  

^a EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

Author keywords

atmospheric analyses; ECMWF; forecasting; reanalyses

Indexed keywords

EID: 84890187648     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/1-4020-4028-8_13     Document Type: Chapter

References (29)

1. Anderson D. L. T., A. Hollingsworth, S. Uppala, and P. Worceshyn, 1991: A study of the use of scatterometer data in the ECMWF Operational Analysis - Forecast model. Part II Data impact. J. Geophys. Res., 96, C2, 2635-2649.
2. Andersson E., and H. Jarvinen, 1999: Variational quality control. Quart. J. Roy. Met. Soc., 125, 697-722.
3. Alves O., M. A. Balmaseda, D. L. T. Anderson, and T. Stockdale, 2004: Sensitivity of dynamical seasonal forecasts to ocean initial conditions. Quart. J. Roy. Met. Soc., 130, 647-668.
4. Balmaseda M. A., 2003: Ocean data assimilation for seasonal forecasts. In Recent developments in data assimilation for atmosphere and ocean. Seminar Proceedings ECMWF.
5. Bell M., M. J. Martin, and N. K. Nichols, 2004: Assimilation of data into an ocean model with systematic errors near the equator. Quart. J. Roy. Met. Soc., 130, 873-893.
6. Burgers G., M. A. Balmaseda, F. Vossepoel, G. J van Oldenburgh, and P. J. van Leeuwen, 2002: Balanced ocean data assimilation near the equator. J. Phys. Ocean., 32, 2509-2519.
7. Courtier P., J-N Thepaut, and A. Hollingsworth, 1994: A strategy for operational implementation of 4DVAR, using an incremental approach. Quart. J. Roy. Met. Soc., 120, 1367-1388.
8. Daley R., 1991: Atmospheric Data Analysis, Cambridge University Press, 457pp
9. Dee D. P., and A. Da Silva, 1998: Data assimilation in the presence of forecast bias. Quart. J. Roy. Met. Soc., 124, A, 269-295.
10. Dee D. P., and R Todling, 2000: Data assimilation in the presence of forecast bias: the GEOS moisture analysis. Mon. Wea. Rev., 128, 3268-3282.
11. Derber J., and F. Bouttier, 1998: A reformulation of the background error covariance in the ECMWF global data assimilation system. Tellus 51 A, 195-221.
12. Fisher M., 2005: On the equivalence between Kalman Smoothing and weak-constraint four-dimensional variational assimilation. Quart. J. Roy. Met. Soc., to appear.
13. See also ECMWF Tech Memo 447 available on line.
14. Haines K., J. Blower, J-P Drecourt, C. Liu, A. Vidard, I. Astin, and X. Zhou, 2005: Salinity assimilation using S (T) relationships. Part 1: theory. Mon Wea. Rev., to appear.
15. Huddleston M. R., M. J. Bell, M. J. Martin, and N. K. Nichols, 2004: Assessment of wind stress errors using bias-corrected ocean data assimilation. Quart. J. Roy. Met. Soc., 130, 853-871.
16. Isaksen L., and A. C. M. Stoffelen, 2000: ERS scatterometer wind data impact on ECMWF's tropical cyclone forecasts. IEEE Trans. Geosci. Remote Sens., 38, 4, 1,885-1,892.
17. Kelly G., 2004: The proceedings of the third WMO Workshop on the Impact of Various Observing Systems on Numerical Weather Prediction (Alpabach, Austria, 9-12 March 2004).
18. Lalaurette F., 2003: Early detection of abnormal weather conditions using a probabilistic extreme forecast index. Quart J. Roy. Met. Soc., 129, 3037-3057.
19. Palmer T., F. J. Doblas-Reyes, R. Hagedorn, and 22 others, 2004: Development of a European multi-model ensemble system for seasonal to inter-annual prediction (DEMETER). BAMS, 85, 853-872.
20. Smith N. R., J. E. Blomley, and G. Meyers, 1991: A univariate statistical interpolation scheme for subsurface thermal analyses in the tropical oceans. Prog. Oceanogr., 28, 219-256.
21. Stockdale T., D. L. T. Anderson, M. A. Balmaseda, and O. Alves, 1998: Global seasonal rainfall forecasts using a coupled ocean-atmosphere model. Nature 392, 370-373.
22. Troccoli A., M. Balmaseda, J. Segschneider, J. Vialard, D. Anderson, K. Haines, T. Stockdale, F. Vitart, and A Fox, 2002: Salinity adjustments in the presence of temperature data assimilation. Mon. Wea. Rev., 130, 89-102.
23. Uppala S. M., P. Kallberg, A. J. Simmons, and forty-three others, 2005: The ERA-40 reanalysis. Submitted.
24. See also ECMWF Newsletter 101. Available from ECMWF or from the web: http://www.ecmwf.int/publications/newsletters/
25. Vialard J., A. Weaver, D. L. T. Anderson, and P. Delecluse, 2003: Three and four dimensional variational data assimilation with a general circulation model of the tropical Pacific ocean. Part 2: Physical validation. Mon. Wea. Rev., 131, 1379-1395.
26. Vialard J., F. Vitart, M. A. Balmaseda, T. Stockdale, and D. L. T. Anderson, 2005: An ensemble generation method for seasonal forecasting with an ocean-atmosphere coupled model. Mon. Wea. Rev., in press.
27. Vidard A., A. Piacentini, and F.-X. Le Dimet, 2004: Variational data analysis with control of the forecast bias. Tellus A, 56, 177-188.
28. Vidard A., D. L. T. Anderson, and M. A. Balmaseda, 2005: Impact of ocean observation systems on seasonal forecasts. ECMWF Techical Memorandum 460.
29. Weaver A., J. Vialard, and D. L. T. Anderson, 2003: Three and four dimensional variational data assimilation with a general circulation model of the tropical Pacific ocean. Part 1: Formulation, internal diagnostics and consistency checks. Mon. Wea. Rev., 131, 1379-1395.