A Wind Speed Probability–Based Error Swath

  • C. Sampson
  • , K. Deshpande
  • , J. Knaff
  • , A. Brammer
  • , M. Demaria
  • , A. Schumacher
  • , B. Strahl

Research output: Contribution to journalArticlepeer-review

Abstract

The Joint Typhoon Warning Center (JTWC) generates a tropical cyclone error swath, depicted on each official warning graphic, based on the forecast track, 5-yr mean forecast track errors, and the size of the largest forecast 34-kt (1 kt ’ 0.51 m s21) wind radii quadrant for each forecast lead time. Unlike error swaths from other agencies such as the National Hurricane Center or Central Pacific Hurricane Center, JTWC error swaths are intended to describe the uncertainty in the potential extent of 34-kt winds, forming what is commonly known as a ship avoidance area to military opera-tors. In this effort, the performance of the JTWC “traditional error swath” is compared to one constructed from the operational wind speed probability product for the 2022 season. The 5% threshold of the operational cumulative 34-kt wind probabilities also provides a graphical swath, but with a 15% (960 000 n mi2; 1 n mi 5 1.852 km) smaller area and covers 3% less of the JTWC-analyzed 34-kt wind speed area, on average. Much of the difference is seen in landfall cases, where neither algorithm is designed to address interactions between tropical cyclone winds and complex terrain. Additional advantages of the 5% threshold of cumulative 34-kt wind probabilities are as follows: 1) the definition is easy to ex-plain to operators, 2) forecast wind asymmetries from the official forecast are addressed, 3) track guidance uncertainty is included in the algorithm, and 4) concerted efforts to improve the wind speed probability algorithm continue.

Original languageEnglish
Pages (from-to)991-999
Number of pages9
JournalWeather and Forecasting
Volume40
Issue number6
DOIs
StatePublished - Jun 2025
Externally publishedYes

Keywords

  • Forecasting techniques
  • Operational forecasting
  • Probability forecasts/models/distribution

Fingerprint

Dive into the research topics of 'A Wind Speed Probability–Based Error Swath'. Together they form a unique fingerprint.

Cite this