The authors acknowledge others on the Cyclone Center science team: Paula Hennon, Michael Kruk, Jared Rennie, Carl Schreck, Scott Stevens, and Peter Thorne. We are also extremely grateful for the support of the Citizen Science Alliance development team. Funding and support for Dr. Hennon was provided in part by the Risk Prediction Initiative of the Bermuda Institute of Ocean Sciences and the Cooperative Institute for Climate and Satellites–North Carolina (CICS-NC). Dr. Matthews is supported by NOAA through the CICS-NC under Cooperative Agreement NA14NES432003. We also appreciate the constructive comments from Christopher Landsea, Matthew Eastin, and anonymous reviewers. Lastly, we are grateful for the contributions from the numerous citizen scientists who have contributed countless hours in providing more than half a million classifications. In particular, we thank baha23, bretarn, shocko61, and skl6284, who have each provided more than 6500 classifications—the equivalent of 1 year of HURSAT data.
Cox, J., E. Y. Oh, B. Simmons, C. Lintott, K. Masters, A. Greenhill, C. Graham, and K. Holmes, 2015: Defining and measuring success in online citizen science: A case study of Zooniverse projects. Comput. Sci. Eng., 17, 28–41, doi:10.1109/MCSE.2015.65.
Dvorak, V. F., 1984: Tropical cyclone intensity analysis using satellite data. NOAA/NESDIS Tech. Rep. 11, 47 pp.
Emanuel, K., 2005: Increasing destructiveness of tropical cyclones over the past 30 years. Nature, 436, 686–688, doi:10.1038/nature03906.
Hennon, C. C., and Coauthors, 2015: Cyclone Center: Can citizen scientists improve tropical cyclone intensity records? Bull. Amer. Meteor. Soc., 96, 591–607, doi:10.1175/BAMS-D-13-00152.1.
Knaff, J. A., and R. M. Zehr, 2007: Reexamination of tropical cyclone wind–pressure relationships. Wea. Forecasting, 22, 71–88, doi:10.1175/WAF965.1.
Knaff, J. A., D. P. Brown, J. Courtney, G. M. Gallina, and J. L. Beven, 2010: An evaluation of Dvorak technique–based tropical cyclone intensity estimates. Wea. Forecasting, 25, 1362–1379, doi:10.1175/2010WAF2222375.1.
Knapp, K. R., and J. P. Kossin, 2007: New global tropical cyclone data set from ISCCP B1 geostationary satellite observations. J. Appl. Remote Sens., 1, 013505, doi:10.1117/1.2712816.
Knapp, K. R., and M. C. Kruk, 2010: Quantifying interagency differences in tropical cyclone best-track wind speed estimates. Mon. Wea. Rev., 138, 1459–1473, doi:10.1175/2009MWR3123.1.
Knapp, K. R., M. C. Kruk, D. H. Levinson, H. J. Diamond, and C. J. Neumann, 2010: The International Best Track Archive for Climate Stewardship (IBTrACS): Unifying tropical cyclone data. Bull. Amer. Meteor. Soc., 91, 363–376, doi:10.1175/2009BAMS2755.1.
Knapp, K. R., J. A. Knaff, C. R. Sampson, G. M. Riggio, and A. D. Schnapp, 2013: A pressure-based analysis of the historical western North Pacific tropical cyclone intensity record. Mon. Wea. Rev., 141, 2611–2631, doi:10.1175/MWR-D-12-00323.1.
Kossin, J. P., T. L. Olander, and K. R. Knapp, 2013: Trend analysis with a new global record of tropical cyclone intensity. J. Climate, 26, 9960–9976, doi:10.1175/JCLI-D-13-00262.1.
Martin, J. D., and W. M. Gray, 1993: Tropical cyclone observation and forecasting with and without aircraft reconnaissance. Wea. Forecasting, 8, 519–532, doi:10.1175/1520-0434(1993)008<0519:TCOAFW>2.0.CO;2.
Nakazawa, T., and S. Hoshino, 2009: Intercomparison of Dvorak parameters in the tropical cyclone datasets over the western North Pacific. SOLA, 5, 33–36, doi:10.2151/sola.2009-009.
Olander, T. L., and C. S. Velden, 2007: The Advanced Dvorak Technique: Continued development of an objective scheme to estimate tropical cyclone intensity using geostationary infrared satellite imagery. Wea. Forecasting, 22, 287–298, doi:10.1175/WAF975.1.
Olander, T. L., and C. S. Velden, 2012: The current status of the UW-CIMSS Advanced Dvorak Technique (ADT). 32nd Conf. on Hurricanes and Tropical Meteorology, Ponte Vedra Beach, FL, Amer. Meteor. Soc., P75. [Available online at https://ams.confex.com/ams/32Hurr/webprogram/Paper292775.html.]
Raykar, V. C., S. Yu, L. H. Zhao, A. Jerebko, C. Florin, G. H. Valadez, L. Bogoni, and L. Moy, 2009: Supervised learning from multiple experts: Whom to trust when everyone lies a bit. Proc. 26th Annual Int. Conf. on Machine Learning, New York, NY, Association for Computing Machinery, 889–896.
Raykar, V. C., S. Yu, L. H. Zhao, G. H. Valadez, C. Florin, L. Bogoni, and L. Moy, 2010: Learning from crowds. J. Mach. Learn. Res., 11, 1297–1322.
Ren, F., J. Liang, G. Wu, W. Dong, and X. Yang, 2011: Reliability analysis of climate change of tropical cyclone activity over the western North Pacific. J. Climate, 24, 5887–5898, doi:10.1175/2011JCLI3996.1.
Sampson, C. R., and A. J. Schrader, 2000: The Automated Tropical Cyclone Forecasting System (version 3.2). Bull. Amer. Meteor. Soc., 81, 1231–1240, doi:10.1175/1520-0477(2000)081<1231:TATCFS>2.3.CO;2.
Schreck, C. J., K. R. Knapp, and J. P. Kossin, 2014: The impact of best track discrepancies on global tropical cyclone climatologies using IBTrACS. Mon. Wea. Rev., 142, 3881–3899, doi:10.1175/MWR-D-14-00021.1.
Velden, C., and Coauthors, 2006a: Supplement to: The Dvorak tropical cyclone intensity estimation technique: A satellite-based method that has endured for over 30 years. Bull. Amer. Meteor. Soc., 87 (Suppl.), S6–S9, doi:10.1175/BAMS-87-9-Velden.
Velden, C., and Coauthors, 2006b: The Dvorak tropical cyclone intensity estimation technique: A satellite-based method that has endured for over 30 years. Bull. Amer. Meteor. Soc., 87, 1195–1210, doi:10.1175/BAMS-87-9-1195.
Vigh, J. L., J. A. Knaff, and W. H. Schubert, 2012: A climatology of hurricane eye formation. Mon. Wea. Rev., 140, 1405–1426, doi:10.1175/MWR-D-11-00108.1.
Webster, P. J., G. J. Holland, J. A. Curry, and H.-R. Chang, 2005: Changes in tropical cyclone number, duration, and intensity in a warming environment. Science, 309, 1844–1846, doi:10.1126/science.1116448.
Wu, M. C., K. H. Yeung, and W. L. Chang, 2006: Trends in western North Pacific tropical cyclone intensity. Eos, Trans. Amer. Geophys. Union, 87, 537–539, doi:10.1029/2006EO480001.