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  • 标题:Estimating tropical cyclone surface winds: Current status, emerging technologies, historical evolution, and a look to the future
  • 本地全文:下载
  • 作者:John A. Knaff ; Charles R. Sampson ; Matthew E. Kucas
  • 期刊名称:Tropical Cyclone Research and Review
  • 印刷版ISSN:2225-6032
  • 出版年度:2021
  • 卷号:10
  • 期号:3
  • 页码:125-150
  • DOI:10.1016/j.tcrr.2021.09.002
  • 语种:English
  • 出版社:Elsevier BV
  • 摘要:AbstractThis article provides a review of tropical cyclone (TC) surface wind estimation from an operational forecasting perspective. First, we provide a summary of operational forecast center practices and historical databases. Next, we discuss current and emerging objective estimates of TC surface winds, including algorithms, archive datasets, and individual algorithm strengths and weaknesses as applied to operational TC surface wind forecast parameters. Our review leads to recommendations about required surface coverage – an area covering at least 1100 km from center of TC at a 2-km resolution in the inner-core, and at a frequency of at least once every 6 h. This is enough coverage to support a complete analysis of the TC surface wind field from center to the extent of the 34-kt (17 m s−1) winds at 6-h intervals. We also suggest future designs of TC surface wind capabilities include funding to ensure near real-time data delivery to operators so that operational evaluation and use are feasible within proposed budgets. Finally, we suggest that users of archived operational wind radii datasets contact operational organizations to ensure these datasets are appropriate for their needs as the datasets vary in quality through time and space, even from a single organisation.
  • 关键词:Tropical cyclone;Surface wind;Satellite;Best track;Operations
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