Southern hemisphere tropical cyclone intensity forecast methods used at the Joint Typhoon Warning Center, Part III: Forecasts based on a multi-model Consensus approach

Australian Meteorological and Oceanographic Journal

Volumn 58, Issue 1, 2009, Pages 19-27

  Sampson, Charles R ^a,c   Knaff, John A ^b  

^a NAVAL RESEARCH LABORATORY   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c NRL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELING; ENSEMBLE FORECASTING; ERROR ANALYSIS; EXPERIMENTAL STUDY; PERFORMANCE ASSESSMENT; REAL TIME; SOUTHERN HEMISPHERE; TROPICAL CYCLONE; WARNING SYSTEM; WEATHER FORECASTING; WIND VELOCITY;

EID: 67650679796     PISSN: 1836716X     EISSN: None     Source Type: Journal    
DOI: 10.22499/2.5801.003     Document Type: Article

References (28)

1. Australian Bureau of Meteorology. 2005. Operational Implementation of TXLAPS-PT375 Bulletin No. 59, May 2005 [Available on-line from http://www.bom.gov.au/nmoc/bulletins/59/].
2. Burton, A., Caroff, P., Franklin, J., Fukada, E., Lee, T. C., Sampson, B. and Smith, T. 2007. Sharing experiences in operational consensus forecasting. Sixth International Workshop on Tropical Cyclones, San Jose, Costa Rica [Available on-line from http://severe.worldweather.org/iwtc/].
3. DeMaria, M., Knaff, J. A., and Kaplan, J. 2006. On the decay of tropical cyclone winds crossing narrow landmasses. J. App. Meteor, and Clim., 45, 491-9.
4. DeMaria, M., Knaff, J. A. and Sampson, C. 2007. Evaluation of long-term trends in tropical cyclone intensity forecasts. Meteor. Atmos. Phys., 97, 19-28.
5. Davidson, N. E. and Weber, H. C. 2000. The BMRC high-resolution tropical cyclone prediction system: TC-LAPS. Mon. Wea. Rev., 128, 1245-65.
6. Emanuel, K., Desautels, C., Holloway, C. and Korty, R. 2004. Environmental control of tropical cyclone intensity. J. Atmos. Sci., 61, 843-58.
7. Emanuel, K., Sundarajan, R. and Williams, J. 2008. Results from downscaling IPCC AR4 simulations. Bull. Amer. Meteor. Soc., 89, 347-67.
8. Goerss, J. S. 2000. Tropical cyclone track forecasts using an ensemble of dynamical models. Mon. Wea. Rev., 128, 1187-93.
9. Goni, G., DeMaria, M., Knaff, J., Sampson, C., Ginis, I., Bringas, F., Mavume, A., Lauer, C., Lin, I., Ali, M., Sandery, P., Ramos-Buarque, S., Kang, K., Mehra, A., Chassignet, E. and Halliwell, G. 2008. Applications of satellite-derived ocean measurements to tropical cyclone intensity forecasting, Final GODAE Symposium 2008, Nice, France. [Available on-line from http://www.godae.org].
10. Grell, G. A., Dudhia, J. and Stauffer, D. R. 1995. A description of the fifthgeneration Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398 + STR, 122 pp.
11. Heming, J. T. 2008. Tropical cyclone initialization in the Met Office global model: Is it still necessary and can it be improved? Amer. Meteor. Soc. 28th Conference on Hurricanes and Tropical Meteorology, Orlando, USA.
12. Heming, J. T. and Goerss, J. S. 2009. Track and structure forecasts of tropical cyclones, Chapter 11 of Global Perspectives on Tropical Cyclones - From Science to Mitigation. J. C. L. Chan editor. World Scientific Publishing Company, Singapore (In press).
13. Hogan, T. F. and Pauley, R. L. 2007. The impact of convective momentum transport on tropical cyclone track forecasts using the Emanuel cumulus parameterization. Mon. Wea. Rev., 135, 1195-207.
14. Joint Typhoon Warning Center (JTWC). 2008. The Annual Tropical Cyclone Reports [Available on-line from https://metocph.nmci.navy.mil/jtwc.php].
15. Knaff, J., Guard, C., Kossin, J., Marchok, T., Sampson, B., Smith, T., and Surgi, N. 2007. Operational guidance and skill in forecasting structure change. Sixth International Workshop on Tropical Cyclones, San Jose, Costa Rica [Available on-line from http://severe.worldweather.org/iwtc/1.
16. Knaff, J. A., Sampson, C. R. and DeMaria, M. 2005. An operational statistical typhoon intensity prediction scheme for the Western North Pacific. Wea. Forecasting, 20, 688-99.
17. Knaff, J. A., and Sampson, C. R. 2009a. Southern hemisphere tropical cyclone intensity forecast methods used at the Joint Typhoon Warning Center, Part II: forecasts based on a statistical-dynamical approach. Aust. Met. Oceanogr. J., 58, 9-18
18. Knaff, J. A., and Sampson, C. R. 2009b. Southern hemisphere tropical cyclone intensity forecast methods used at the Joint Typhoon Warning Center, Part I: control forecasts based on climatology and persistence. Aust. Met. Oceanogr. J., 58, 1-7
19. Leith, C. E. 1973. The standard error of time-average estimates of climate means. J. Appl. Meteor., 12, 1066-9.
20. Moorthi, S., Pan, H. and Caplan, P. 2001. Changes to the 2001 NCEP operational MRF/AVN global analysis/forecast system. Technical Procedures Bulletin 484, National Weather Service. [Available online at http://www.nws.noaa.gov/om/tpb/.]
21. Rennick, M. A. 1999. Performance of the Navy's tropical cyclone prediction model in the western North Pacific basin during 1996. Wea. Forecasting, 14, 3-14.
22. Sampson, C. R. and Schrader, A. J. 2000. The automated tropical cyclone forecasting system (Version 3.2). Bull. Amer. Meteor. Soc., 81, 1231-40.
23. Sampson, C. R., Goerss, J. S. and Weber, H. C. 2006. Operational performance of a new barotropic model (WBAR) in the western North Pacific basin. Wea. Forecasting, 21, 656-62.
24. Sampson, C. R., Franklin, J. L., Knaff, J. A. and DeMaria, M. 2008. Experiments with a simple tropical cyclone intensity consensus. Wea. Forecasting, 23, 304-12.
25. Sanders, F. 1973. Skill in forecasting daily temperature and precipitation: Some experimental results. Bull. Amer. Meteor. Soc., 54, 1171-9.
26. Thompson, P. D. 1977. How to improve accuracy by combining independent forecasts. Mon. Wea. Rev., 105, 228-9.
27. Weber, H. C. 2005. Probabilistic prediction of tropical cyclones, Part II: Intensity. Mon. Wea. Rev., 133, 1853-64.
28. Williford, C. E., Krishnamurti, T. N., Correa-Torres, R., Cocke, S., Christidis, Z. and Kumar, T. S. V. V. 2003. Real-time multimodel superensemble forecasts of Atlantic tropical systems of 1999. Mon. Wea. Rev., 131, 1878-94.