Uncertainty in weather and climate prediction

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 369, Issue 1956, 2011, Pages 4751-4767

  Slingo, Julia ^a   Palmer, Tim ^b,c  

^a MET OFFICE   (United Kingdom)

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

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Climate prediction; Ensemble prediction system; Probabilities; Uncertainty; Weather forecasting

Indexed keywords

CHAOS THEORY; CLIMATE CHANGE; CLIMATE MODELS; METEOROLOGY; PROBABILITY; UNCERTAINTY ANALYSIS;

CHANGING CLIMATE; CLIMATE FORECASTING; CLIMATE PREDICTION; ENSEMBLE PREDICTION SYSTEM; LEAD TIME; MODEL UNCERTAINTIES; PROBABILISTIC APPROACHES; PROBABILISTIC PREDICTION; UNCERTAINTY;

WEATHER FORECASTING;

EID: 82455219445     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2011.0161     Document Type: Article

References (30)

1. Lorenz, E. N. 1969 The predictability of a flow which possesses many scales of motion. Tellus 21, 19.
2. Lorenz, E. N. 1963 Deterministic nonperiodic flow. J. Atmos. Sci. 20, 130-141. (doi:10.1175/ 1520-0469(1963)0202.0.CO;2)
3. Buizza, R., Houtekamer, P. L., Pellerin, G., Toth, Z., Zhu, Y. & Wei, M. 2005 A comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems. Mon. Wea. Rev. 5, 1076-1097. (doi:10.1175/MWR2905.1)
4. Molteni, F. & Palmer, T. N. 1993 Predictability and finite-time instability of the northern winter circulation. Q. J. R. Meteorol. Soc. 119, 269-298. (doi:10.1002/qj.49711951004)
5. Gelaro, R., Buizza, R., Palmer, T. N. & Klinker, E. 1998 Sensitivity analysis of forecast errors and the construction of optimal perturbations using singular vectors. J. Atmos. Sci. 55, 1012-1037. (doi:10.1175/1520-0469(1998) 0552.0.CO;2)
6. Slingo, J. M. et al. 1996 Intraseasonal oscillations in 15 atmospheric general circulation models: results from an AMIP diagnostic subproject. Clim. Dyn. 12, 325-357. (doi:10.1007/ BF00231106)
7. Buizza, R., Miller, M. J. & Palmer, T. N. 1999 Stochastic simulation of model uncertainties in the ECMWF ensemble prediction system. Q. J. R. Meteorol. Soc. 125, 2887-2908. (doi:10.1256/ smsqj.56005)
8. Slingo, J. M., Inness, P., Neale, R., Woolnough, S. & Yang, G. 2003 Scale interactions on diurnal to seasonal timescales and their relevance to model systematic errors. Ann. Geophys. 46, 139-155.
9. Palmer, T. N. 2001 A nonlinear dynamical perspective on model error: a proposal for nonlocal stochastic-dynamic parametrization in weather and climate prediction models. Q. J. R. Meteorol. Soc. 127, 279-304. (doi:10.1002/qj. 49712757202)
10. Berner, J., Shutts, G. J., Leutbecher, M. & Palmer, T. N. 2009 A spectral stochastic kinetic energy backscatter scheme and its impact on flow-dependent predictability in the ECMWF ensemble prediction system. J. Atmos. Sci. 66, 603-626. (doi:10.1175/2008JAS2677.1)
11. Shutts, G. J. & Palmer, T. N. 2007 Convective forcing fluctuations in a cloud-resolving model: relevance to the stochastic parameterization problem. J. Clim. 20, 187-202. (doi:10.1175/ JCLI3954.1)
12. Slingo, J. M., Bates, K., Nikiforakis, N., Piggott, M., Roberts, M., Shaffrey, L., Stevens, I., Luigi Vidale, P. & Weller, H. 2009 Developing the next generation climate system models: challenges and achievements. Phil. Trans. R. Soc. A 367, 815-831. (doi:10.1098/rsta.2008.0207)
13. Whitaker, J. S. Thomas, M. H., Xue W., Yucheng S. & Zoltan, T. 2008 Ensemble data assimilation with the NCEP global forecast system. Mon. Weather Rev. 136, 463-482. (doi:10.1175/ 2007MWR2018.1)
14. Charney, J. G. & Shukla, J. 1981 Predictability of monsoons. In Monsoon dynamics (eds S. J. Lighthill & R. P. Pearce), pp. 99-109. Cambridge, UK: Cambridge University Press.
15. Palmer, T. N. 1993 Extended-range atmospheric prediction and the Lorenz model. Bull. Am. Meteorol. Soc. 74, 49-65. (doi:10.1175/1520-0477(1993)0742.0. CO;2)
16. Turner, A. G., Inness, P. M. & Slingo, J. M. 2005 The role of the basic state in monsoon prediction. Q. J. R. Meteorol. Soc. 131, 781-804. (doi:10.1256/qj.04.70)
17. Palmer, T. N. et al. 2004 Development of a European multi-model ensemble system for seasonalto- interannual prediction (DEMETER). Bull. Am. Meteorol. Soc. 85, 853-872. (doi:10.1175/ BAMS-85-6-853)
18. Collins, M. et al. 2006 Interannual to decadal climate predictability: a multi-perfect-modelensemble study. J. Climate 19, 1195-1203. (doi:10.1175/JCLI3654.1)
19. Hawkins, E. & Sutton, R. 2009 Decadal predictability of the Atlantic Ocean in a coupled GCM: forecast skill and optimal perturbations using linear inverse modelling. J. Clim. 22, 3960-3978. (doi:10.1175/2009JCLI2720.1)
20. Hurrell, J. W. et al. 2009 Decadal climate prediction: opportunities and challenges. In Proc. OceanObs'09: Sustained Ocean Observations and Information for Society Conf., 21-25 September 2009, Venice, Italy, vol. 2.
21. Hawkins, E. & Sutton, R. 2009 The potential to narrow uncertainty in regional climate predictions. Bull. Am. Meteorol. Soc. 90, 1095-1107. (doi:10.1175/2009BAMS2607.1)
22. Bony, S. et al. 2006 How well do we understand and evaluate climate change feedback processes? J. Clim. 19, 3445-3482. (doi:10.1175/JCLI3819.1)
23. Friedlingstein, P. et al. 2006 Climate-carbon cycle feedback analysis, results from the C4MIP model intercomparison. J. Clim. 19, 3337-3353. (doi:10.1175/JCLI3800.1)
24. Murphy, J. M., Sexton, D. M. H., Barnett, D. N., Jones, G. S., Webb, M. J., Collins, M. & Stainforth, D. A. 2004 Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature 430, 768-772. (doi:10.1038/nature02771)
25. Stainforth, D.A. et al. 2005 Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature 433, 403-406. (doi:10.1038/nature03301)
26. Murphy, J. M., Booth, B. B. B., Collins, M., Harris, G. R., Sexton, D. M. H. & Webb, M. J. 2007 A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles. Phil. Trans. R. Soc. A 365, 1993-2028. (doi:10.1098/rsta.2007.2077)
27. Shaffrey, L. C. et al. 2009 UK-HiGEM: the new UK high resolution global environment model. Model description and basic evaluation. J. Clim. 22, 1861-1896. (doi:10.1175/2008JCLI2508.1)
28. Miura, H., Satoh, M. & Katsumata, M. 2009 Spontaneous onset of a Madden-Julian oscillation event in a cloud-system-resolving simulation. Geophys. Res. Lett. 36, L13802. (doi:10.1029/ 2009GL039056)
29. Shukla, J., Palmer, T. N., Hagedorn, R., Hoskins, B., Kinter, J., Marotzke, J., Miller, M. & Slingo, J. 2010 Towards a new generation of world climate research and computing facilities. Bull. Am. Meteorol. Soc. 91, 1407-1412. (doi:10.1175/2010BAMS2900.1)
30. Lorenz, E. N. 1969 Three approaches to atmospheric predictability. Bull. Am. Met. Soc. 50, 345-351.