Skip to main content

ORIGINAL RESEARCH article

Front. Environ. Sci.
Sec. Atmosphere and Climate
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1510445
This article is part of the Research Topic Temperature and Hydrometeorological Extremes View all 4 articles

Spatiotemporal Variation Characteristics of Extreme Temperature Events in Hainan Province over the Past Four Decades

Provisionally accepted
  • 1 College of Geography, Shanxi Normal University,, Taiyuan, China
  • 2 Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, China Meteorological Administration, Lanzhou, China

The final, formatted version of the article will be published soon.

    Against the backdrop of global warming, the frequency and intensity of extreme weather events have been gradually increasing. Hainan Province is an important tropical agricultural production area in China, where extreme temperatures can significantly affect crop yields, quality, and the sustainable development of the agricultural economy. Studying the temporal and spatial patterns of extreme temperature events in Hainan Province provides a scientific basis for future prevention and control of meteorological disasters in the region, thereby safeguarding agricultural output value. In this study, based on observational data from 21 meteorological stations in Hainan Province between 1980 and 2022, eight extreme temperature indices were calculated using the RClimDex model, and the temporal and spatial characteristics of extreme temperature events were quantitatively analyzed employing linear fitting, Mann-Kendall mutation test, Morlet wavelet analysis, and principal component analysis. The results indicate that (1) in the time series, extreme temperature events in Hainan Province generally exhibit an increasing trend. (2) Spatially, the propensity rates of extreme temperature events at most stations in Hainan Province also demonstrate an increasing trend. Only two indices in Hainan Province, Maximum daily temperature of the year (TXx) and Number of days with the lowest temperature >20℃ (TR20), show upward mutations, both concentrated between 2000 and 2011. (3) In terms of cyclical changes, the extreme temperature indices in Hainan Province exhibit a short oscillatory cycle of approximately 4 years, a medium oscillatory cycle of 8-14 years, and a long oscillatory cycle of 16-20 years. Hainan Province is primarily influenced by changes in warm indicators, and the variation in each extreme temperature index is closely associated with the elevation of daily maximum temperatures, which constitutes the primary cause.

    Keywords: Extreme temperature events, RClimDex model, Hainan Province, Temporal and spatial variation, Mann-Kendall

    Received: 13 Oct 2024; Accepted: 28 Jan 2025.

    Copyright: © 2025 Yun and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Qiang Zhang, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, China Meteorological Administration, Lanzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.