Evaluation of the ensemble transform analysis perturbation scheme at NRL

Monthly Weather Review

Volumn 136, Issue 3, 2008, Pages 1093-1108

  McLay, Justin G ^a   Bishop, Craig H ^a   Reynolds, Carolyn A ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; DATA PROCESSING; ERROR ANALYSIS; MATHEMATICAL TRANSFORMATIONS; PERTURBATION TECHNIQUES;

DATA ASSMILATION; MULTIVARIATE CORRELATIONS; NUMERICAL WEATHER PREDICTION (NWP);

WEATHER FORECASTING;

COVARIANCE ANALYSIS; DATA ASSIMILATION; ENSEMBLE FORECASTING; NUMERICAL MODEL; WEATHER FORECASTING;

EID: 44449090456     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2007MWR2010.1     Document Type: Article

References (24)

1. Anderson, J. L., 1997: The impact of dynamical constraints on the selection of initial conditions for ensemble predictions: Low-order perfect model results. Mon. Wea. Rev., 125, 2969-2983.
2. Bishop, C. H., and Z. Toth, 1999: Ensemble transformation and adaptive observations. J. Atmos, Sci., 56, 1748-1765.
3. Daley, R., and E. Barker, 2001: NAVDAS source book 2001. Naval Research Laboratory Rep. NRL/PU/7530-01-441, 161 pp.
4. Ehrendorfer, M., and J. J. Tribbia, 1997: Optimal prediction of forecast error covariances through singular vectors. J. Atmos. Sci., 54, 286-313.
5. Emanuel, K. A., and M. Zivkovic-Rothman, 1999: Development and evaluation of a convection scheme for use in climate models. J. Atmos. Sci., 56, 1766-1782.
6. Gelaro, R., T. Rosmond, and R. Daley, 2002: Singular vector calculations with an analysis error variance metric. Mon. Wea. Rev., 130, 1166-1186.
7. Harshvardhan, R. Davies, D. A. Randall, and T. G. Corsetti, 1987: A fast radiation parameterization for atmospheric circulation models. J. Geophys. Res., 92, 1009-1016.
8. Hodur, R. M., 1997: The Naval Research Laboratory's Coupled Ocean/ Atmosphere Mesoscale Prediction System (COAMPS). Mon. Wea. Rev., 125, 1414-1430.
9. Hogan, T. F., and T. E. Rosmond, 1991: The description of the Navy Operational Global Atmospheric Prediction System's spectral forecast model. Mon. Wea. Rev., 119, 1786-1815.
10. Houtekamer, P. L., and J. Derome, 1995: Methods for ensemble prediction. Mon. Wea. Rev., 123, 2181-2196.
11. Houtekamer, P. L., L. Lefaivre, J. Derome, H. Ritchie, and H. L. Mitchell, 1996: A system simulation approach to ensemble prediction. Mon. Wea. Rev., 102, 1225-1242.
12. Leith, C. E., 1974: Theoretical skill of Monte Carlo forecasts. Mon. Wea. Rev., 102, 409-418.
13. Louis, J. F., M. Tiedtke, And J. F. Geleyn, 1982: A short history of the operational PBL parameterization at ECMWF. Proc. ECMWF Workshop on Planetary Boundary Parameterization, Reading, United Kingdom, European Centre for Medium-Range Weather Forecasts, 59-79.
14. McLay, J. G., C. H. Bishop, and C. A. Reynolds, 2007: The ensemble-transform scheme adapted for the generation of stochastic forecast perturbations. Quart. J. Roy, Meteor. Soc., 133, 1257-1266.
15. Molteni, F., R. Buizza, T. N. Palmer, and T. Petroliagis, 1996: The ECMWF Ensemble Prediction System: Methodology and validation. Quart. J. Roy., Meteor. Soc., 122, 73-119.
16. Reynolds, C. A., R. Gelaro, and T. E. Rosmond, 2005: A comparison of variance and total-energy singular vectors. Quart. J. Roy. Meteor. Soc., 131, 1955-1973.
17. Teixeira, J., and T. F. Hogan, 2002: Boundary layer clouds in a global atmospheric model: Simple cloud cover parameterizations. J. Climate, 15, 1261-1276.
18. Toth, Z., and E. Kalnay, 1997: Ensemble forecasting at NCEP and the breeding method. Mon. Wea. Rev., 125, 3297-3319.
19. Vautard, R., K. C. Mo, and M. Ghil, 1990: Statistical significance test for transition matrices of atmospheric Markov chains. J. Atmos. Sci., 47, 1926-1931.
20. Wang, X., and C. H. Bishop, 2003: A comparison of breeding and ensemble transform Kalman filter ensemble forecast schemes. J. Atmos. Sci., 60, 1140-1158.
21. Wang, X., C. H. Bishop, and S. J. Julier, 2004: Which is better, an ensemble of positive-negative pairs or a centered spherical simplex ensemble? Mon. Wea. Rev., 132, 1590-1605.
22. Wei, M., Z. Toth, R. Wobus, Y. Zhu, and C. H. Bishop, 2004: Initial perturbations for the NCEP ensemble forecast system. Proc. First THORPEX Int. Science Symp., Montreal, QC, Canada, World Meteorological Organization, 227-230.
23. Wei, M., Z. Toth, R. Wobus, and Y. Zhu, 2006: Initial perturbations based on the ensemble transforni (ET) technique in the NCEP global ensemble forecast system. NOAA/NCEP Office Note 453, 33 pp.
24. Wilks, D. S., 2006: Statistical Methods in the Atmospheric Sciences. 2nd ed. Academic Press, 627 pp.