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  • 标题:Estimates of tropical cyclone geometry parameters based on best-track data
  • 本地全文:下载
  • 作者:Nederhoff, Kees ; Giardino, Alessio ; Ormondt, Maarten van
  • 期刊名称:Natural Hazards and Earth System Sciences
  • 电子版ISSN:2195-9269
  • 出版年度:2019
  • 卷号:19
  • 期号:11
  • 页码:2359-2370
  • DOI:10.5194/nhess-19-2359-2019
  • 语种:English
  • 出版社:Copernicus Publications
  • 摘要:Parametric wind profiles are commonly applied in a number of engineering applications for the generation of tropical cyclone (TC) wind and pressure fields. Nevertheless, existing formulations for computing wind fields often lack the required accuracy when the TC geometry is not known. This may affect the accuracy of the computed impacts generated by these winds. In this paper, empirical stochastic relationships are derived to describe two important parameters affecting the TC geometry: radius of maximum winds (RMW) and the radius of gale-force winds (ΔAR35). These relationships are formulated using best-track data (BTD) for all seven ocean basins (Atlantic; S, NW, and NE Pacific; and N, SW, and SE Indian oceans). This makesit possible to (a) estimate RMW and ΔAR35 when these properties arenot known and (b) generate improved parametric wind fields for all oceanicbasins. Validation results show how the proposed relationships allow the TC geometry to be represented with higher accuracy than when usingrelationships available from literature. Outer wind speeds can be reproduced wellby the commonly used Holland wind profile when calibrated usinginformation either from best-track data or from the proposed relationships.The scripts to compute the TC geometry and the outer wind speed are freelyavailable via the following URL: https://bit.ly/2k9py1J (last access: October 2019).
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