Recursos útiles en internet
Recursos de Laboratorio Virtual (VLAB) de BOM (diagramas para la técnica de Dvorak; conversión CI a viento; guía de Dvorak de 1984; nota meteorológica de Dvorak) http://www.virtuallab.bom.gov.au/training/the-use-of-satellite-data-in-tropical-cyclone- analysis/
Lección de COMET en MetEd: Productos de satélites polares para pronósticos operativos: análisis de ciclones tropicales por microondas https://www.meted.ucar.edu/training_module.php?id=467
Biblioteca del Centro Nacional de Huracanes de los EE.UU.: http://www.aoml.noaa.gov/general/lib/lib1/nhclib/
Capacitación de NESDIS sobre la técnica de Dvorak (Ray Zehr, 2009, 90 min): http://rammb.cira.colostate.edu/training/shymet/forecaster_dvorak.asp
Comité de tifones (Typhoon Committee) de ESCAP/WMO: http://www.typhooncommittee.org/
Página de la OMM para capacitación de pronosticadores de ciclones tropicales: http://severe.worldweather.wmo.int/TCFW/
Referencias
Burton, A.D., 2005. Notes on the application of the Dvorak technique. Met. Note 225, Bureau of Meteorology, National Meteorological Library, GPO Box 1289, Melbourne, VIC, 3001, Australia, 8 págs. http://www.virtuallab.bom.gov.au/index.php/download_file/view/36/163/
Courtney, J.B. y Knaff, J.A. 2009. Adapting the Knaff and Zehr Wind-Pressure Relationship for operational use in Tropical Cyclone Warning Centres. Australian Meteorological and Oceanographic Journal, 58:3, 167-179. http://www.bom.gov.au/amm/docs/2009/courtney_hres.pdf
Danielson, R., Brennan, M.J., Cobb III, H. D. y Stiles, B.W., 2012. An update on scatterometer data exploitation at NHC, Paper presented at 30th AMS Conf. on Hurr. and Trop. Meteor., Ponte Vedra Beach, Florida, Amer. Meteor. Soc. https://ams.confex.com/ams/30Hurricane/webprogram/Paper205277.html
Dvorak,V.F. 1984. Tropical Cyclone Intensity Analysis Using Satellite Data, NOAA Technical Report NESDIS 11. ftp://satepsanone.nesdis.noaa.gov/Publications/Tropical/Dvorak_1984.pdf
Dvorak V.F. 1995. Tropical Clouds and Cloud Systems Observed in Satellite Imagery: Volume 2, Tropical Cyclones, (available from NOAA/NESDIS, 5200 Auth Rd Washington, DC, 20333).
Harper, B.A., Kepert, J.D. y Ginger, J.D. 2008. Guidelines for converting between various wind averaging periods in tropical cyclone conditions. WMO, TCP Subproject, October, 2008.
Herndon, D. Velden C.S. y Hawkins. J. D. 2012. Update on SATellite-based CONsensus (SATCON) Approach to TC Intensity Estimation. 30th AMS Conf. on Hurr. and Trop. Meteor., Ponte Vedra Beach, Florida, Amer. Meteor. Soc. https://ams.confex.com/ams/30Hurricane/webprogram/Paper205129.html
Knaff, J.A., Brown, D.P., Courtney, J.B., Gallina, G.M. y Beven II, J.L. 2010. An Evaluation of Dvorak Technique-Based Tropical Cyclone Intensity Estimates. Wea. Forecasting, 25:5, 1362-1379. http://journals.ametsoc.org/doi/abs/10.1175/2010WAF2222375.1
Kossin, J.P and M. Sitkowski, 2012. Predicting hurricane intensity and structure changes associated with eyewall replacement cycles. Wea. Forecasting, 27, 484–488. http://journals.ametsoc.org/doi/abs/10.1175/WAF-D-11-00106.1
Landsea, C., 2012. How 'Good' are the Best Tracks?—Estimating Uncertainty in the Atlantic Hurricane Database. 30th AMS Conf. on Hurr. and Trop. Meteor., Ponte Vedra Beach, Florida, Amer. Meteor. Soc. https://ams.confex.com/ams/30Hurricane/webprogram/Paper205361.html
Landsea, C.W. y Franklin, J. L. 2013. Atlantic Hurricane Database Uncertainty and Presentation of a New Database Format. Monthly Weather Review 141:10, 3576-3592 http://www.aoml.noaa.gov/hrd/Landsea/landsea-franklin-mwr2013.pdf
Olander, T. y Velden, C. 2014. New Features and Capabilities of the Advanced Dvorak Technique (ADT), 31st AMS Conf. on Hurr and Trop Meteor., San Diego, Ca., Amer. Meteor. Soc. https://ams.confex.com/ams/31Hurr/webprogram/Paper243398.htm
Salemi, A.E. y Turk M.A., 2014. 9C.5 Improving Tropical Cyclone Intensity Estimates through the Use of Microwave Imagery https://ams.confex.com/ams/31Hurr/webprogram/Paper244302.html
Sitkowski, M., Kossin, J. P. y Rozoff C. M., 2011. Intensity and structure changes during hurricane eyewall replacement cycles. Mon. Wea. Rev., 139, 3829–3847. http://journals.ametsoc.org/doi/abs/10.1175/MWR-D-11-00034.1
Torn, R. D., y Snyder, C., 2012. Uncertainty of Tropical Cyclone Best-Track Information. Wea. Forecasting, 27, 715–729. http://journals.ametsoc.org/doi/abs/10.1175/WAF-D-11-00085.1
Uhlhorn, E. W. y Nolan, D. S., 2012. Observational Undersampling in Tropical Cyclones and Implications for Estimated Intensity. Mon. Wea. Rev., 140, 825–840. http://journals.ametsoc.org/doi/abs/10.1175/MWR-D-11-00073.1
Velden, C., Burton, A. y Kuroiwa, K., 2012. The First International Workshop on Satellite Analysis of Tropical Cyclones: Summary of Current Operational Methods to Estimate Intensity [J]. Tropical Cyclone Research and Review, 1(4): 469-481. http://tcrr.typhoon.gov.cn/EN/abstract/abstract47.shtml
Velden, C., Harper, B., Wells, F., Beven, J., Zehr, R., Olander, T., Mayfield, M., Guard, C., Lander, M., Edson, R., Avila, L., Burton, A., Turk, M., Kikuchi, A., Christian, A., Caroff, P. y McCrone, P., 2006. The Dvorak tropical cyclone intensity estimation technique: A satellite-based method that has endured for over 30 years. Supplement. Bulletin of the American Meteorological Society, volumen 87, número 9, 2006, S6-S9. Reimpresión 5213. http://journals.ametsoc.org/doi/pdf/10.1175/BAMS-87-9-Velden