Preprints
https://doi.org/10.5194/wes-2022-64
https://doi.org/10.5194/wes-2022-64
 
15 Jul 2022
15 Jul 2022
Status: this preprint is currently under review for the journal WES.

Adjusted spectral correction method for calculating extreme winds in tropical cyclone affected water areas

Xiaoli Larsén and Søren Ott Xiaoli Larsén and Søren Ott
  • Wind Energy Department, Technical University of Denmark

Abstract. A method is developed to calculate the extreme wind for tropical cyclone affected water areas. The method is based on the spectral correction method by Larsén et al. (2012) in connection with the use of numerically modeled data, where an enhancement coefficient is derived as a function of wind speed to reflect the large wind fluctuation during tropical cyclones. This is done through calibration with the estimates from Ott (2005) who used the best track data and Holland model to estimate the extreme wind over the Typhoon affected area in the western North Pacific. The method is applied in the current study to three regions where the 50-year winds with an effective temporal resolution of 10 minutes are obtained at 10 m, 50 m, 100 m and 150 m. The results are in agreement with Ott (2005) over their study domain, though with much more spatial details of the extreme wind distribution.

Xiaoli Larsén and Søren Ott

Status: open (until 26 Aug 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2022-64', Anonymous Referee #1, 25 Jul 2022 reply
  • RC2: 'Encouraging initial steps towards the generalization of the U50 spectral correction method for its use in cyclonic offshore wind climates.', Javier Sanz Rodrigo, 05 Aug 2022 reply

Xiaoli Larsén and Søren Ott

Xiaoli Larsén and Søren Ott

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Short summary
We combine different modeling approaches and data sources and develop a method for calculating the extreme wind in tropical cyclone affected water areas. The method is based on the spectral correction method that fills in the missing wind variability to the modeled time series, guided by Best Track data. This method is used in connection with reanalysis data here for several areas. We calculated the 50-year winds of equivalent 10-min temporal resolution from 10 m to 150 m.