journal article·2025-02-09Open access

Climatology, Diversity, and Variability of Quasi-Biweekly to Intraseasonal Extreme Temperature Events in Hong Kong from 1885 to 2022

Hoiio Kong, Kechen Wu, Pak Wai Chan, Jinping Liu, Banglin Zhang, Jeremy Cheuk-Hin Leung

Applied Sciences· Volume 15· Issue 4

Abstract

In July 2023, 19 continuous days of very hot days in Hong Kong brought inconvenience to citizens and disasters to society. This long-lasting heat wave event is closely linked to the atmospheric variability on the quasi-biweekly to intraseasonal timescales. While extreme weather has aroused the attention of scientists and society, limited studies focus on quasi-biweekly to intraseasonal extreme (QBIE) weather. Thus, to address this issue, this study aims at examining the climatology and long-term variability of these QBIE events in Hong Kong. This study serves as one of the very few fundamental works that construct a century-long record of QBIE temperature events, based on in situ observation in Hong Kong, and further examines the climatology, diversity, and variability of these QBIE temperature events. A total of 382 QBIE heat waves and 510 QBIE cold surges are identified from 1885 to 2022, exhibiting various characteristics in their occurring time and seasonality. Based on ARIMA model and time series analyses, we find that while apparent interannual variability exists in QBIE heat wave and cold surge activity, short-term climate prediction of QBIE temperature events based on past patterns or common climate indices is largely unfeasible. This research provides a valuable historical reference for understanding QBIE weather in the Guangdong–Hong Kong–Macau Greater Bay Area and highlights the need for further studies on the predictability of QBIE weather in the future.
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Research context

OpenAlex topics: Climate variability and models · Meteorological Phenomena and Simulations · Tropical and Extratropical Cyclones Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Data Science, City University of Macau, Macau, China

Hong Kong Observatory, 134A Nathan Road, Kowloon, Hong Kong, China

ESCAP/WMO Typhoon Committee Secretariat, Macau, China

College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China

College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China

Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou 510000, China

Funding

Guangdong Basic and Applied Basic Research Foundation · Guangdong Province Introduction of Innovative R&D Team Project

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