Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 17
Articles | Volume 18, issue 17
https://doi.org/10.5194/gmd-18-5781-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-5781-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 17
Model evaluation paper
 | 
08 Sep 2025
Model evaluation paper |  | 08 Sep 2025

An extension of WeatherBench 2 to binary hydroclimatic forecasts

Tongtiegang Zhao, Qiang Li, Tongbi Tu, and Xiaohong Chen

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Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015. 
Bauer, P., Quintino, T., Wedi, N., Bonanni, A., Chrust, M., Deconinck, W., Diamantakis, M., Dueben, P., English, S., Flemming, J., Gillies, P., Hadade, I., Hawkes, J., Hawkins, M., Iffrig, O., Kühnlein, C., Lange, M., Lean, P., Marsden, O., Müller, A., Saarinen, S., Sarmany, D., Sleigh, M., Smart, S., Smolarkiewicz, P., Thiemert, D., Tumolo, G., Weihrauch, C., Zanna, C., and Maciel, P.: The ECMWF Scalability Programme: Progress and Plans, ECMWF Technical Memoranda, ECMWF, https://doi.org/10.21957/gdit22ulm, 2020. 
Ben Bouallègue, Z. and the AIFS team: Accuracy versus activity, ECMWF, https://doi.org/10.21957/8b50609a0f, 2024. 
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The recent WeatherBench 2 provides a versatile framework for the verification of deterministic and ensemble forecasts. In this paper, we present an explicit extension to binary forecasts of hydroclimatic extremes. Seventeen verification metrics for binary forecasts are employed, and scorecards are generated to showcase the predictive performance. The extension facilitates more comprehensive comparisons of hydroclimatic forecasts and provides useful information for forecast applications.
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