Identification and Analysis of Heatwave Characteristics in Iran Based on Multiple Indices

Document Type : Research Article

Authors

1 Associate Professor, Center for Remote Sensing and GIS Research, Shahid Beheshti University, Tehran, Iran

2 Postdoc Researcher, Center for Remote Sensing and GIS Research, Shahid Beheshti University, Tehran, Iran

3 Assistant Professor, Center for Remote Sensing and GIS Research, Shahid Beheshti University, Tehran, Iran

4 MSc. of GIS, Center for Remote Sensing and GIS Research, Shahid Beheshti University, Tehran, Iran

Abstract

Heatwaves are among the most critical climate-related hazards, posing serious risks to human societies and ecosystems. The accelerating pace of global warming highlights the need for detailed investigations of this phenomenon. In this study, daily maximum and minimum temperature data for 30 years (1995–2024) were used to identify local heatwave thresholds based on the 90th percentile and probability density functions. Five major heatwave characteristics: number of events, number of heatwave days, magnitude, amplitude, and longest duration were extracted across Iran. Their spatial distribution and hotspot regions were identified, and temporal trends were assessed using the Mann–Kendall test and Sen’s slope estimator. Results show that, in addition to arid and southeastern regions (e.g., Lut Desert, Central Plateau, Southern Baluchestan, Hamun basins), high-altitude areas of the Zagros Mountains—particularly the Tashk–Bakhtegan basin—are highly exposed in terms of heatwave frequency and duration. In the lowland plains of the southwest and southeast (e.g., Khuzestan, Lut Desert, Hamun, Baluchestan), heatwave intensity has in some years exceeded 50 °C (maximum) and 40 °C (minimum). Trend analysis revealed statistically significant increases in all heatwave characteristics, especially in the number of events and days, with average slopes of ~0.24 events and 1.2 days per year across most regions. While northern and southern coastal areas (e.g., Persian Gulf coast) have remained relatively unaffected by persistent daytime heatwaves, nighttime events show a clear increasing trend. Moreover, the highest long-term averages for all characteristics occurred during the last eight years of the study period, particularly in 2024.

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Articles in Press, Accepted Manuscript
Available Online from 17 September 2025
  • Receive Date: 12 July 2025
  • Revise Date: 03 September 2025
  • Accept Date: 17 September 2025
  • First Publish Date: 17 September 2025
  • Publish Date: 17 September 2025