A Rapid Intensification Warning Index for Tropical Cyclones Based on the Analog Method

Author:

Lu Deyu12ORCID,Ding Ruiqiang3ORCID,Zhong Quanjia1ORCID,Mao Jiangyu1ORCID,Zou Qian12,Li Jianping45ORCID

Affiliation:

1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China

2. College of Earth Science University of Chinese Academy of Sciences Beijing China

3. State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Beijing China

4. Key Laboratory of Physical Oceanography‐Institute for Advanced Ocean Studies Qingdao National Laboratory for Marine Science and Technology Ocean University of China Qingdao China

5. Laoshan Laboratory Qingdao China

Abstract

AbstractPrediction of the rapid intensification (RI) of tropical cyclones (TCs) remains challenging. In this paper, by using information from the early period following TC formation, the rapid intensification warning index (RIWI) is developed based on the analog method. A 10‐year cross‐validation and data from Hurricane Ida (2021) are used to verify its potential application. Results show that the RIWI can efficiently discriminate between RI and non‐RI storms and has a significant positive correlation with the lifetime maximum intensity (LMI) of the TCs. By using this index, an early warning can be issued ∼30 hr before the onset of RI, which is much earlier than the predictions made using the probabilistic Statistical Hurricane Intensity Prediction System RI index. In addition, by using the RIWI as a predictor, the prediction of LMI provides an early estimate of TC severity.

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

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