Full-field and anomaly initialization using a low-order climate model: A comparison and proposals for advanced formulations

Nonlinear Processes in Geophysics

Volumn 21, Issue 2, 2014, Pages 521-537

  Carrassi, A ^a   Weber, R J T ^a,b   Guemas, V ^a,c   Doblas Reyes, F J ^a,d   Asif, M ^a   Volpi, D ^a,e  

^a Institut Catalá de Ciéncies del Clima IC3   (Spain)

^b UNIVERSITY OF HEIDELBERG   (Germany)

^c CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

^d INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

^e UNIVERSITY OF READING   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; CLIMATE MODELING; CLIMATE PREDICTION; DATA ASSIMILATION; ERROR ANALYSIS; FORECASTING METHOD;

EID: 84899057079     PISSN: 10235809     EISSN: 16077946     Source Type: Journal    
DOI: 10.5194/npg-21-521-2014     Document Type: Article

References (34)

1. Auroux, D. and Blum, J.: A nudging-based data assimilation method: the Back and Forth Nudging (BFN) algorithm, Nonlin. Processes Geophys., 15, 305-319, doi:10.5194/npg-15-305-2008, 2008.
2. Bengtsson, L., Ghil, M., and Källen, E.: (Eds.): Dynamic Meteorology: Data Assimilation Methods, Springer Verlag, New York/Heidelberg/Berlin, 330 pp., 1981.
3. Carrassi, A., Vannitsem, S., and Nicolis, C.: Model error and sequential data assimilation: A deterministic formulation, Q. J. Roy. Meteor. Soc., 134, 1297-1313, 2008.
4. Cohn, S. E.: An Introduction to Estimation Theory, J. Meteorol. Soc. Jpn., 75, 257-288, 1997. (Pubitemid 127712501)
5. Daley, R.: Atmospheric Data Analysis, Cambridge University Press, Cambridge, ISBN: 9780521382151, 1991.
6. Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Holm, E. V., Isaksen, L., Kallberg, P., Kohler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J. J., Park, B. K., Peubey, C., de Rosnay, P., Tavolato, C., Thpaut, J. N., and Vitart, F.: The era-interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553-597, 2011.
7. Doblas-Reyes, F. J., García-Serrano, J., Lienert, F., Pintò Biescas, A., and Rodrigues, L. R. L.: Seasonal climate predictability and forecasting: status and prospects, WIREs Clim. Change, 4, 245-268, doi:10.1002/wcc.217, 2013a.
8. Doblas-Reyes, F. J., Andreu-Burillo, I., Chikamoto, Y., García-Serrano, J., Guemas, V., Kimoto, M., Mochizuki, T., Rodrigues, L. R. L., and van Oldenborgh, G. J.: Initialized near-term regional climate change prediction, Nature Communications, 4, 1715, doi:10.1038/ncomms2704.2900-2915, 2013b.
9. Dunstone, N. J. and Smith, D. M.: Impact of atmosphere and subsurface ocean data on decadal climate prediction, Geophys. Res. Lett., 37, L02709, doi:10.1029/2009GL041609, 2010.
10. Evensen, G.: Data Assimilation - The Ensemble Kalman Filter, 2nd Edn., Springer, Cambridge, ISBN: 978-3-642-03710-8, 2009.
11. Guemas, V., Auger, L., and Doblas-Reyes, F.: Hypothesis testing for auto-correlated short climate time series, J. Appl. Meteorol. Clim., 53, 637-651, doi:10.1175/JAMC-D-13-064.1, 2014.
12. Hawkins, E. and Sutton, R.: The potential to narrow uncertainty in regional climate prediction, B. Am. Meteorol. Soc., 90, 1095-1107, doi:10.1175/2009BAMS2607.1, 2009.
13. Hazeleger, W., Guemas, V., Wouters, B., Corti, S., Andreu-Burillo, I., Doblas-Reyes, F. J., Wyser, K., and Caian, M.: Multiyear climate predictions using two initialization strategies, Geophys. Res. Lett., 40, 1794-1798, doi:10.1002/grl.50355, 2013.
14. Ide, K., Courtier, P., Ghil, M., and Lorenc, A.: Unified notation for data assimilation: Operational, sequential and variational, J. Meteorol. Soc. Jpn., 75, 181-189, 1997. (Pubitemid 127712495)
15. Janjić, T. and Cohn, S. E.: Treatment of Observation Error due to Unresolved Scales in Atmospheric Data Assimilation, Mon. Weather Rev., 134, 2900-2915, 2006. (Pubitemid 44649928)
16. Jazwinski, A. H.: Stochastic Processes and Filtering Theory, Academic Press, New York, 1970.
17. Kalnay, E.: Atmospheric Modeling, Data Assimilation and Predictability, Cambridge University Press, Cambridge, UK, 2003.
18. Keenlyside, N., Latif, M., Jungclaus, J., Kornblueh, L., and Roeckner, E.: Advancing decadal-scale climate prediction in the North Atlantic sector, Nature, 453, 84-88, 2008. (Pubitemid 351630335)
19. Latif, M., Collins, M., Pohlmann, H., and Keenlyside, N.: A review of predictability studies of Atlantic sector climate on decadal time scales, J. Climate, 19, 5971-5987, 2006. (Pubitemid 46085089)
20. Lorenz, E. N.: Deterministic Nonperiodic Flow, J. Atmos. Sci., 20, 130-141, 1963.
21. Magnusson, L., Alonso-Balmaseda, M., Corti, S., Molteni, F., and Stockdale, T.: Evaluation of forecast strategies for seasonal and decadal forecasts in presence of systematic model errors, Clim. Dynam., 41, 2393-2409, doi:10.1007/s00382-012-1599-2, 2012.
22. Meehl, G. A., Goddard, L., Kirtman, B., Branstator, G., Danabasoglu, G., Hawkins, E., Kumar, A., Rosati, T., Smith, D., Sutton, R., Boer, G., Burgman, R., Carson, C., Corti, S., Karspeck, A., Keenlyside, N., Kimoto, M., Matei, D., Mignot, J., Msadek, R., Navarra, A., Pohlmann, H., Rienecker, M., Schneider, E., Tebaldi, C., Teng, H., van Oldenborgh, G., Vecchi, G., and Yeager, S.: Decadal Climate Prediction: An Update from the Trenches, B. Am. Meteorol. Soc., 95, 243-267, doi:10.1175/BAMS-D-12-00241.1, 2014.
23. Nicolis, C.: Dynamics of model error: Some generic features, J. Atmos. Sci., 60, 2208-2218, 2003. (Pubitemid 37196072)
24. Palatella, L., Carrassi, A., and Trevisan, A.: Lyapunov vectors and assimilation in the unstable subspace: theory and applications, J. Phys. A: Math. Theor., 46, 254020, doi:10.1088/1751-8113/46/25/254020, 2013.
25. Parrish, D. F. and Derber, J. C.: The National Meteorological Center's Spectral Statistical-Interpolation Analysis System, Mon. Weather Rev., 120, 1747-1763, 1992. (Pubitemid 23375504)
26. Peña, M. and Kalnay, E.: Separating fast and slow modes in coupled chaotic systems, Nonlin. Processes Geophys., 11, 319-327, doi:10.5194/npg-11- 319-2004, 2004. (Pubitemid 39428281)
27. Smith, D. M. and Murphy, J. M.: An objective ocean temperature and salinity analysis using covariances from a global model, J. Geophys. Res., 112, C02022, doi:10.1029/2005JC003172, 2007. (Pubitemid 47260926)
28. Smith, D. M., Cusack, S., Coleman, A. W., Folland, C. K., Harris, G. R., and Murphy, J. M.: Improved surface temperature prediction for the coming decade from a global climate model, Science, 317, 796-799, 2007. (Pubitemid 47257915)
29. Smith, D. M., Eade, R., and Pohlmann, H.: A comparison of fullfield and anomaly initialization for seasonal to decadal climate prediction, Clim. Dynam., 41, 3325-3338, doi:10.1007/s00382-013-1683-2, 2013.
30. Stockdale, T. N.: Coupled ocean-atmosphere forecasts in the presence of climate drift, Mon. Weather Rev., 125, 809-818, 1997.
31. Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of cmip5 and the experimental design, B. Am. Meteorol. Soc., 93, 485-498, doi:10.1175/BAMS-D-11-00094.1, 2012.
32. van Oldenborgh, G. J., Doblas-Reyes, F. J., Wouters, B., and Hazeleger, W.: Skill in the trend and internal variability in a multi-model decadal prediction ensemble, Clim. Dynam., 38, 1263-1280, doi:10.1007/s00382-012-1313-4, 2012.
33. Von Storch, H. and Zwiers, F. W.: Statistical Analysis in Climate Research, Cambridge University Press, Cambridge, 484 pp., 2001.
34. Yang, S.-C., Baker, D., Li, H., Huff, M., Nagpal, G.. Okereke, E., Villafane, J., Kalnay, E., and Duane, G.: Data assimilation as synchronization of truth and model: experiments with the 3-variable Lorenz system, J. Atmos. Sci., 63, 2340-2354, 2006. (Pubitemid 44480481)