Skip to main content
Log in

Trend, driving factors, and temperature-humidity relationship of the extreme compound hot and humid events in South China

  • Research
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

With global warming and frequent occurrence of extreme hot events, the accompanying heat stress, which is believed to be the combined effects of temperature and humidity on human health, is also expected to increase. The temperature and precipitation both increased recently, which indicates a high incidence of extreme compound hot and humid events (CHHEs) in South China, while its trend and mechanism still need further research. Through the comparison of three types of extreme events (extreme hot events (HOEs), extreme humid events (HUEs), and extreme compound hot and humid events (CHHEs)), this study revealed the spatiotemporal characteristics, driving factors, and temperature-humidity relationships of CHHEs in South China. What’s more, the temperature-humidity relationships of CHHEs with different dominant types and intensities were further explored. The research results are as follows: (1) HOEs and CHHEs significantly increased, while HUEs decreased, which is consistent with the trend of temperature and relative humidity. (2) The driving factors of HOEs were opposite to those of HUEs, and strong net thermal radiation, evaporation, and water vapor transport were favorable meteorological conditions for CHHEs in South China. (3) Most of CHHEs in South China were temperature dominant type, which covered longer duration and higher intensity than humidity dominant and non-dominant types. (4) There was a strong linear relationship between temperature and humidity during CHHEs. And for the same temperature range, the higher the intensity of CHHEs was, the lower the humidity difference would be.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

Data availability

The datasets analyzed during the current study are available from the corresponding author upon reasonable request.

References

Download references

Acknowledgements

We are also thankful to anonymous reviewers and editors for their helpful comments and suggestions.

Funding

This study was supported by Jiangsu Provincial Water Conservancy Science and Technology Project (No. 2023007), National Natural Science Foundation of China (No. U22A20554), Social Development Guidance Project of Fujian Provincial Science and Technology Department (No. 2022Y0007), the Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (No. 2021491311).

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Nan Qiao and Yixing Yin. The first draft of the manuscript was written by Nan Qiao, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yixing Yin.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Qiao, N., Yin, Y., Zhang, P. et al. Trend, driving factors, and temperature-humidity relationship of the extreme compound hot and humid events in South China. Theor Appl Climatol 155, 4213–4230 (2024). https://doi.org/10.1007/s00704-024-04876-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-024-04876-z

Navigation