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Published on: November 18, 2022
Global spatiotemporal patterns of heatwaves: a re-evaluation.
Haoran Tang1, Kun Shi2, R Iestyn Woolway3
1State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 211135, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
Understanding heatwaves requires careful baseline selection. This study shows that different baseline methods significantly alter heatwave trend analysis, impacting assessments of climate extremes and their risks.
Area of Science:
- Climate Science
- Extreme Weather Events
- Environmental Monitoring
Background:
- Heatwaves are significant climate extremes whose analysis is sensitive to baseline climate definitions.
- Methodological choices, especially baseline selection, influence the detection and quantification of heatwave characteristics like frequency, duration, and intensity.
Purpose of the Study:
- To evaluate the impact of baseline selection on global heatwave characterization using ERA5-Land data from 1981-2023.
- To compare a fixed historical baseline with a running 30-year climatology baseline.
- To introduce and assess a ratio-based intensity metric normalized by local variability.
Main Methods:
- Global analysis of atmospheric heatwaves utilizing ERA5-Land reanalysis data (1981-2023).
- Comparison of heatwave trends derived from a fixed baseline (1951-1980) versus a running baseline.
- Application of a novel ratio-based intensity metric to normalize temperature anomalies by local variability.
Main Results:
- Baseline choice significantly influences the apparent magnitude and trends of heatwave frequency, duration, and intensity.
- A running baseline attenuates trends by accounting for long-term warming, revealing deviations from evolving conditions.
- Normalized intensity metrics reduce the pronounced latitudinal gradient seen with absolute anomalies, suggesting more even relative thermal exposure.
Conclusions:
- Methodological transparency in baseline selection is crucial for accurate heatwave assessment and risk evaluation.
- Running baselines and variability-normalized metrics offer essential complementary perspectives for analyzing extremes in a non-stationary climate.
- Findings underscore the need for careful consideration of analytical methods when comparing heatwave studies and assessing impacts.
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