Abstract: The Canadian Fire Weather Index (FWI), widely used to assess wildfire danger, typically relies on noonspecific meteorological data. However, climate models often provide only daily aggregated values, posing a challenge for accurate FWI calculations.Weevaluated daily approximations for FWI95d-the annual count of extreme fire-weather days-against the standard noon-based method (1980-2023). Our findings reveal that noon-based FWI95d show a global increase of ~65% (11.66 days over 44 years). In contrast, daily approximations tend to overestimate these trends by 5-10%, with combinations involving minimum relative humidity showing the largest divergences. Globally, up to 15 million km²-particularly in the western United States, southern Africa, and parts of Asia-exhibit significant overestimations. We recommend (i) prioritizing the inclusion of sub-daily meteorological data in future climatemodel intercomparison projects to enhanceFWI accuracy, and (ii) adopting daily mean approximations as the least-biased alternative if noon-specific data are unavailable.

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