Articles | Volume 7, issue 2
https://doi.org/10.5194/wcd-7-767-2026
https://doi.org/10.5194/wcd-7-767-2026
Research article
 | 
12 May 2026
Research article |  | 12 May 2026

A spread-versus-error framework to reliably quantify the potential for subseasonal windows of forecast opportunity

Philip Rupp, Jonas Spaeth, and Thomas Birner

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Cited articles

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Baldwin, M. P., Stephenson, D. B., Thompson, D. W., Dunkerton, T. J., Charlton, A. J., and O'Neill, A.: Stratospheric memory and skill of extended-range weather forecasts, Science, 301, 636–640, 2003. a
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Fortin, V., Abaza, M., Anctil, F., and Turcotte, R.: Why should ensemble spread match the RMSE of the ensemble mean?, J. Hydrometeorol., 15, 1708–1713, 2014. a, b
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Short summary
Weather forecasts several weeks ahead are uncertain, but this uncertainty itself can change depending on large-scale atmospheric conditions. We present a new way to measure how well forecasts capture these changes in uncertainty. Our results show that reliability of uncertainty varies strongly with region and is linked to slow, predictable patterns in the atmosphere. These findings help identify periods when forecasts are more trustworthy.
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