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A Time Neighborhood Method for the Verification of Landfalling Typhoon Track Forecast.

Authors :
Xu, Daosheng
Leung, Jeremy Cheuk-Hin
Zhang, Banglin
Source :
Advances in Atmospheric Sciences. Feb2023, Vol. 40 Issue 2, p273-284. 12p.
Publication Year :
2023

Abstract

Landfalling typhoons can cause disasters over large regions. The government and emergency responders need to take measures to mitigate disasters according to the forecast of landfall position, while slight timing error can be ignored. The reliability of operational model forecasts of typhoon landfall position needs to be evaluated beforehand, according to the forecasts and observation of historical cases. In the evaluation of landfalling typhoon track, the traditional method based on point-to-point matching methods could be influenced by the predicted typhoon translation speed. Consequently, the traditional track evaluation method may result in a large track error even if the predicted landfall position is close to observation. The purpose of this paper is to address the above issue using a simple evaluation method of landfalling typhoon track forecast based on the time neighborhood approach. In this new method, the timing error was lessened to highlight the importance of the position error during the landfall of typhoon. The properties of the time neighborhood method are compared with the traditional method based on numerical forecast results of 12 landfalling typhoon cases. Results demonstrated that the new method is not sensitive to the sampling frequency, and that the difference between the time neighborhood and traditional method will be more obvious when the moving speed of typhoon is moderate (between 15–30 km h−1). The time neighborhood concept can be easily extended to a broader context when one attempts to examine the position error more than the timing error. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02561530
Volume :
40
Issue :
2
Database :
Academic Search Index
Journal :
Advances in Atmospheric Sciences
Publication Type :
Academic Journal
Accession number :
162392576
Full Text :
https://doi.org/10.1007/s00376-022-1398-6