Model error and predictability over different timescales in the Lorenz '96 systems

Journal of the Atmospheric Sciences

Volumn 60, Issue 17, 2003, Pages 2219-2228

  Orrell, D ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHAOS THEORY; CLIMATOLOGY; ERROR ANALYSIS; MATHEMATICAL MODELS; OPTIMIZATION; RANDOM PROCESSES;

MODEL ERRORS;

WEATHER FORECASTING;

ERROR ANALYSIS; NUMERICAL MODEL; WEATHER FORECASTING;

EID: 0141795648     PISSN: 00224928     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0469(2003)060<2219:MEAPOD>2.0.CO;2     Document Type: Article

References (15)

1. Alligood, K., T. Sauer, and J. Yorke, 1996: Chaos: An Introduction to Dynamical Systems. Springer-Verlag, 620 pp.
2. Collins, M., 2002: Climate predictability on interannual to decadal time scales: The initial value problem. Climate Dyn., 19, 671-692.
3. Hansen, J., and L. Smith, 2000: The role of operational constraints in selecting supplementary observations. J. Atmos. Sci., 57, 2859-2871.
4. Hunt, J., 1999: Environmental forecasting and turbulence modeling. Physica D. 133, 270-295.
5. Klinker, E., and P. Sardeshmukh, 1992: The diagnosis of mechanical dissipation in the atmosphere from large-scale balance requirements. J. Atmos. Sci., 49, 608-627.
6. Lorenz, E., 1964: The problem of deducing the climate from the governing equations. Tellus, 16, 1-11.
7. Lorenz, E., 1975: Climate predictability: The physical basis of climate modeling. GARP Publication Series, Vol. 16. WMO, 132-136.
8. Lorenz, E., 1996: Predictability-A problem partly solved. Proc. Seminar on Predictability, Shinfield Park, Reading, United Kingdom, European Centre for Medium-Range Weather Forecasting, 1-18.
9. Lorenz, E., and K. Emmanuel, 1998: Optimal sites for supplementary weather observations. J. Atmos. Sci., 55, 399-414.
10. Orrell, D., 2001: Modelling nonlinear dynamical systems: Chaos, error and uncertainty. Ph.D. thesis, Oxford University, 199 pp.
11. Orrell, D., 2002: Role of the metric in forecast error growth: How chaotic is the weather? Tellus, 54A, 350-362.
12. Orrell, D., and L. Smith, 2003: Visualizing bifurcations in high dimensional systems: The spectral bifurcation diagram. Int. J. Bifurcations Chaos, 13, in press.
13. Orrell, D., L. Smith, J. Barkmeijer, and T. Palmer, 2001: Model error in weather forecasting. Nonlinear Proc. Geo., 8, 357-371.
14. Schubert, S., and Y. Schang, 1996: An objective method for inferring sources of model error. Mon. Wea. Rev., 124, 325-340.
15. Strang, G., 1986: Introduction to Applied Mathematics. Wellesley-Cambridge Press, 758 pp.