An extension of WeatherBench 2  to binary hydroclimatic forecasts

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

doi:https://doi.org/10.5194/gmd-18-5781-2025

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

Supplement

https://doi.org/10.5194/gmd-18-5781-2025-supplement

Data sets

Data for the extension of the WeatherBench 2 to binary hydroclimatic forecasts: ensemble forecasts for 24 h precipitation (v0.1.0) Qiang Li and Tongtiegang Zhao https://doi.org/10.5281/zenodo.15066828

Data for the extension of the WeatherBench 2 to binary hydroclimatic forecasts: ensemble forecasts for 24 h maximum temperature (v0.1.0) Qiang Li and Tongtiegang Zhao https://doi.org/10.5281/zenodo.15066898

Data for the extension of the WeatherBench 2 to binary hydroclimatic forecasts (v0.2.0) Qiang Li and Tongtiegang Zhao https://doi.org/10.5281/zenodo.15067178

Model code and software

Code for the extension of the WeatherBench 2 to binary hydroclimatic forecasts (v0.3.0) Qiang Li and Tongtiegang Zhao https://doi.org/10.5281/zenodo.15067282

Short summary

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.