Influence of Spatial Heterogeneity in Sea Surface Temperature on Tropical Cyclone Intensity Over the Western North Pacific

Author:

Sun Jia123ORCID,Jin Shanshan14,Ju Xia123ORCID,He Hailun5ORCID,Ding Ruibin5ORCID,Hu Xiaomin1ORCID,Xiong Xuejun123

Affiliation:

1. First Institute of Oceanography and Key Laboratory of Marine Science and Numerical Modeling Ministry of Natural Resources Qingdao China

2. Laboratory for Regional Oceanography and Numerical Modeling Pilot National Laboratory for Marine Science and Technology Qingdao China

3. Shandong Key Laboratory of Marine Science and Numerical Modeling Qingdao China

4. College of Meteorology and Oceanography National University of Defense Technology Changsha China

5. State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography Ministry of Natural Resources Hangzhou China

Abstract

AbstractThis study explores the impact of sea surface temperature (SST) spatial heterogeneity on tropical cyclone (TC) intensity through a combination of observations and simulations, aiming to provide a reference for further improving TC intensity forecasting skills. Two distinct patterns of SST spatial heterogeneity are identified based on a statistical analysis of observational data, when the SST at the TC center is above and below 29.3°C, respectively. One is a warm‐core pattern (WCP) with a warm peak SST at the TC center decreasing centrifugally which favors TC development, and the other one is a poleward‐decreasing pattern (PDP) with a warm SST at the south decreasing poleward which suppresses TC development. The numerical simulations confirm the opposite influence of the WCP and the PDP on TC intensity. The WCP intensifies TC intensity by strengthening TC secondary circulation, increasing the conversion from ocean heat energy to TC kinetic energy, and compacting TC structure. In contrast, the PDP weakens TC intensity by inducing opposing responses of these processes. The magnitude of TC intensity change caused by SST spatial heterogeneity is comparable to those caused by a 1°C change in SST at the TC center. These findings offer valuable insights into the role of SST spatial heterogeneity in TC development and provide a new perspective to improve TC intensity forecasting by incorporating SST spatial heterogeneity into statistical‐dynamic models.

Funder

Basic Scientific Fund for National Public Research Institutes of China

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Ministry of Natural Resources of the People's Republic of China

Publisher

American Geophysical Union (AGU)

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