• Sampson, C. R., and Schrader A. J. , 2000: The Automated Tropical Cyclone Forecasting System (version 3.2). Bull. Amer. Meteor. Soc., 81, 12311240, doi:10.1175/1520-0477(2000)081<1231:TATCFS>2.3.CO;2.

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  • Zhang, Y., Meng Z. , Zhang F. , and Weng Y. , 2014: Predictability of tropical cyclone intensity evaluated through 5-yr forecasts with a convection-permitting regional-scale model in the Atlantic basin. Wea. Forecasting, 29, 10031023, doi:10.1175/WAF-D-13-00085.1.

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  • 1 Laboratory for Climate and Ocean–Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China, and Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania
  • | 2 Laboratory for Climate and Ocean–Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
  • | 3 Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania
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An unfortunate error in the editing process occurred in Zhang et al. (2014). The last sentence on p. 1005, which carries over onto p. 1006, contains an error identifying the university name. The correct sentence should read as follows: “A total of 2190 hindcast cases were collected and used for the statistical analysis in this work, and will be referred to as the ARW no data assimilation forecast by The Pennsylvania State University (ANPS) forecasts hereafter, which is also the identification acronym in the Automatic Tropical Cyclone Forecast system (ATCF; Sampson and Schrader 2000) designated by NHC for the Pennsylvania State University experimental real-time forecasts during 2011–12.”

The staff of Weather and Forecasting regrets any inconvenience this error may have caused.

REFERENCES

  • Sampson, C. R., and Schrader A. J. , 2000: The Automated Tropical Cyclone Forecasting System (version 3.2). Bull. Amer. Meteor. Soc., 81, 12311240, doi:10.1175/1520-0477(2000)081<1231:TATCFS>2.3.CO;2.

    • Search Google Scholar
    • Export Citation
  • Zhang, Y., Meng Z. , Zhang F. , and Weng Y. , 2014: Predictability of tropical cyclone intensity evaluated through 5-yr forecasts with a convection-permitting regional-scale model in the Atlantic basin. Wea. Forecasting, 29, 10031023, doi:10.1175/WAF-D-13-00085.1.

    • Search Google Scholar
    • Export Citation
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