Preprints
https://doi.org/10.5194/essd-2026-434
https://doi.org/10.5194/essd-2026-434
05 Aug 2026
 | 05 Aug 2026
Status: this preprint is currently under review for the journal ESSD.

The Weather Extremes Archive (WEXA)

Patrick Martineau, Hidehiro Fujio, Ingo Richter, Ayako Yamamoto, and Masami Nonaka

Abstract. The Weather Extremes Archive (WEXA) is a global, event-based dataset designed to systematically detect, track, and document persistent weather extremes. In its initial release, WEXA focuses on heat waves and cold spells identified from 2-m air temperature in ERA5 reanalysis data from 1979 to present. Cold and warm extremes are defined using seasonally varying 10th and 90th percentile thresholds derived from a fixed 1991–2020 climatological baseline. Periods of at least three consecutive extreme days are grouped into coherent spatiotemporal heat waves or cold spell events using three-dimensional connected component labelling. WEXA delivers a global catalogue of all detected individual heat wave and cold spell events, providing standardized diagnostics of their timing, duration, spatial extent, and intensity. The archive is openly accessible at https://doi.org/10.5281/zenodo.20550615 and https://wexa.jamstec.go.jp, permitting the exploration of event statistics and visualizations through an interactive analysis tool.

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Patrick Martineau, Hidehiro Fujio, Ingo Richter, Ayako Yamamoto, and Masami Nonaka

Status: open (until 11 Sep 2026)

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Patrick Martineau, Hidehiro Fujio, Ingo Richter, Ayako Yamamoto, and Masami Nonaka

Data sets

Weather Extremes Archive Patrick Martineau, Ingo Richter, Ayako Yamamoto, Masami Nonaka, and Hidehiro Fujio https://doi.org/10.5281/zenodo.20550615

Patrick Martineau, Hidehiro Fujio, Ingo Richter, Ayako Yamamoto, and Masami Nonaka
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Short summary
The Weather Extremes Archive (WEXA) provides global data on persistent heat waves and cold spells from 1979 to the present. Events are defined using temperature thresholds that vary by season and location. The dataset tracks the movement, size, and intensity of these events over time and is publicly available for analysis.
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