Multimodel approach based on evidence theory for forecasting tropical cyclone tracks

Monthly Weather Review

Volumn 138, Issue 2, 2010, Pages 405-420

  Poroseva, Svetlana V ^a   Lay, Nathan ^a   Yousuff Hussaini, M ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREE OF BELIEF; DEMPSTER'S RULE; DEMPSTER-SHAFER THEORY OF EVIDENCE; EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; EVIDENCE THEORIES; FORECASTING ABILITY; INDIVIDUAL MODELS; MATHEMATICAL REQUIREMENTS; MULTI-MODEL; MULTIMODEL APPROACH; NATIONAL CENTERS FOR ENVIRONMENTAL PREDICTIONS; NAVY OPERATIONAL GLOBAL ATMOSPHERIC PREDICTION SYSTEMS; QUANTITATIVE ASSESSMENTS; SOUTH INDIAN OCEAN; TRACK DATA; TROPICAL CYCLONE; WESTERN NORTH PACIFIC;

FORMAL LOGIC; HURRICANES; OCEANOGRAPHY; STORMS; TROPICS;

WEATHER FORECASTING;

CLIMATE PREDICTION; DATABASE; NUMERICAL MODEL; TROPICAL CYCLONE; WEATHER FORECASTING;

INDIAN OCEAN; INDIAN OCEAN (SOUTH); PACIFIC OCEAN; PACIFIC OCEAN (NORTH);

EID: 77953206430     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR2733.1     Document Type: Article

References (24)

1. Ayyub, B. M., and G. J. Klir, 2006. Uncertainty Modeling and Analysis in Engineering and the Sciences. Chapman & Hall/CRC, 378 pp.
2. Berge, C., 1997. Topological Spaces: Including a Treatment of Multi-Valued Functions, Vector Spaces and Convexity. Dover Publications, 270 pp.
3. Couso, I., S. Moral, and P. Walley, 2000. A survey of concepts of independence for imprecise probabilities. Risk Decis. Policy, 5, 165-181.
4. Ferson, S., R. B. Nelsen, J. Hajagos, D. J. Berleant, J. Zhang, W. T. Tucker, L. R. Ginzburg, and W. L. Oberkampf, 2004. Dependence in probabilistic modeling, Dempster-Shafer theory, and probability bounds analysis. SAND2004-3072, Sandia National Laboratories, 151 pp. [Available online at http://www.ramas.com/depend.pdf.]
5. Franklin, J. L., 2008. 2007 National Hurricane Center forecast verification report. NOAA, 68 pp. [Available online at http://www.nhc.noaa.gov/verification/pdfs/Verification_2007.pdf.]
6. Goerss, J. S., 2000. Tropical cyclone track forecasts using an ensemble of dynamical models. Mon. Wea. Rev., 128, 1187-1193.
7. Goerss, J. S., 2007. Prediction of consensus tropical cyclone track forecast error. Mon. Wea. Rev., 135, 1985-1993.
8. Goerss, J. S., C. R. Sampson, and J. M. Gross, 2004. A history of eastern North Pacific tropical cyclone track forecast skill. Wea. Forecasting, 19, 633-638.
9. Krishnamurti, T. N., C. M. Kishtawal, T. LaRow, D. Bachiochi, Z. Zhang, C. E. Williford, S. Gadgil, and S. Surendran, 1999. Improved weather and seasonal climate forecasts from multimodel superensemble. Science, 285, 1548-1550.
10. Krishnamurti, T. N., C. M. Kishtawal, Z. Zhang, T. Larow, D. Bachiochi, E. Williford, S. Gadgil, and S. Surendran, 2000. Multimodel ensemble forecasts for weather and seasonal climate. J. Climate, 13, 4196-4216.
11. Kumar, T. S. V. V., T. N. Krishnamurti, M. Fiorino, and M. Nagata, 2003. Multimodel superensemble forecasting of tropical cyclones in the Pacific. Mon. Wea. Rev., 131, 574-583.
12. Leslie, L. M., and K. Fraedrich, 1990. Reduction of tropical cyclone position errors using an optimal combination of independent forecasts. Wea. Forecasting, 5, 158-161.
13. Mundell, D. B., and J. A. Rupp, 1995. Hybrid forecast aids at the Joint Typhoon Warning Center: Applications and results. Preprints, 21st Conf. on Hurricanes and Tropical Meteorology, Miami, FL, Amer. Meteor. Soc., 216-218.
14. Poroseva, S. V., J. Letschert, and M. Y. Hussaini, 2006. Application of evidence theory to quantify uncertainty in forecast of hurricane path. Preprints, 18th Conf. on Probability and Statistics in the Atmospheric Sciences, Atlanta, GA, Amer. Meteor. Soc., 1.9. [Available online at http://ams.confex.com/ams/Annual2006/techprogram/paper_99724.htm.]
15. Poroseva, S. V., J. Letschert, and M. Y. Hussaini, 2007. Application of evidence theory to quantify uncertainty in hurricane/typhoon tracks forecasts. Meteor. Atmos. Phys., 97, 149-169.
16. Roebber, P. J., D. M. Schultz, B. A. Colle, and D. J. Stensrud, 2004. Toward improved prediction: High-resolution and ensemble modeling systems in operations. Wea. Forecasting, 19, 936-949.
17. Sampson, C. R., J. S. Goerss, and H. C. Weber, 2006. Operational performance of a new barotropic model (WBAR) in the western North Pacific basin. Wea. Forecasting, 21, 656-662.
18. Sentz, K., and S. Ferson, 2002. Combination of evidence in Dempster-Shafer theory. SAND2002-0835, Sandia National Laboratories, 94 pp. [Available online at http://www.sandia.gov/epistemic/Reports/SAND2002-0835.pdf.]
19. Shafer, G., 1976a. A Mathematical Theory of Evidence. Princeton University Press, 312 pp.
20. Shafer, G., 1976b. A theory of statistical evidence. Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science, W. L. Harper and C. A. Hooker, Eds., Vol. II, Reidel, 365-436.
21. Shafer, G., 1990. Perspectives on the theory and practice of belief functions. Int. J. Approx. Reason., 4, 323-362.
22. Weber, H. C., 2003. Hurricane track prediction using a statistical ensemble of numerical models. Mon. Wea. Rev., 131, 749-770.
23. Weber, H. C., 2005. Probabilistic prediction of tropical cyclones. Part I: Position. Mon. Wea. Rev., 133, 1840-1852.
24. Williford, C. E., T. N. Krishnamurti, R. C. Torres, S. Cocke, Z. Christidis, and T. S. V. Kumar, 2003. Real-time multimodel superensemble forecasts of Atlantic tropical systems of 1999. Mon. Wea. Rev., 131, 1878-1894.