Articles | Volume 17, issue 11
https://doi.org/10.5194/gmd-17-4579-2024
https://doi.org/10.5194/gmd-17-4579-2024
Methods for assessment of models
 | 
10 Jun 2024
Methods for assessment of models |  | 10 Jun 2024

A general comprehensive evaluation method for cross-scale precipitation forecasts

Bing Zhang, Mingjian Zeng, Anning Huang, Zhengkun Qin, Couhua Liu, Wenru Shi, Xin Li, Kefeng Zhu, Chunlei Gu, and Jialing Zhou

Related authors

Introduction to the NJIAS Himawari-8/9 Cloud Feature Dataset for climate and typhoon research
Xiaoyong Zhuge, Xiaolei Zou, Lu Yu, Xin Li, Mingjian Zeng, Yilun Chen, Bing Zhang, Bin Yao, Fei Tang, Fengjiao Chen, and Wanlin Kan
Earth Syst. Sci. Data, 16, 1747–1769, https://doi.org/10.5194/essd-16-1747-2024,https://doi.org/10.5194/essd-16-1747-2024, 2024
Short summary

Related subject area

Atmospheric sciences
Development of the CMA-GFS-AERO 4D-Var assimilation system v1.0 – Part 1: System description and preliminary experimental results
Yongzhu Liu, Xiaoye Zhang, Wei Han, Chao Wang, Wenxing Jia, Deying Wang, Zhaorong Zhuang, and Xueshun Shen
Geosci. Model Dev., 18, 4855–4876, https://doi.org/10.5194/gmd-18-4855-2025,https://doi.org/10.5194/gmd-18-4855-2025, 2025
Short summary
Optimized dynamic mode decomposition for reconstruction and forecasting of atmospheric chemistry data
Meghana Velagar, Christoph Keller, and J. Nathan Kutz
Geosci. Model Dev., 18, 4667–4684, https://doi.org/10.5194/gmd-18-4667-2025,https://doi.org/10.5194/gmd-18-4667-2025, 2025
Short summary
Interpolating turbulent heat fluxes missing from a prairie observation on the Tibetan Plateau using artificial intelligence models
Quanzhe Hou, Zhiqiu Gao, Zexia Duan, and Minghui Yu
Geosci. Model Dev., 18, 4625–4641, https://doi.org/10.5194/gmd-18-4625-2025,https://doi.org/10.5194/gmd-18-4625-2025, 2025
Short summary
Carbon dioxide plume dispersion simulated at the hectometer scale using DALES: model formulation and observational evaluation
Arseniy Karagodin-Doyennel, Fredrik Jansson, Bart J. H. van Stratum, Hugo Denier van der Gon, Jordi Vilà-Guerau de Arellano, and Sander Houweling
Geosci. Model Dev., 18, 4571–4599, https://doi.org/10.5194/gmd-18-4571-2025,https://doi.org/10.5194/gmd-18-4571-2025, 2025
Short summary
Low-level jets in the North and Baltic seas: mesoscale model sensitivity and climatology using WRF V4.2.1
Bjarke T. E. Olsen, Andrea N. Hahmann, Nicolas G. Alonso-de-Linaje, Mark Žagar, and Martin Dörenkämper
Geosci. Model Dev., 18, 4499–4533, https://doi.org/10.5194/gmd-18-4499-2025,https://doi.org/10.5194/gmd-18-4499-2025, 2025
Short summary

Cited articles

Ahijevych, D., Gilleland, E., Brown, B. G., and Ebert, E. E.: Application of spatial verification methods to idealized and NWP-gridded precipitation forecasts, Weather Forecast., 24, 1485–1497, https://doi.org/10.1175/2009WAF2222298.1, 2009. 
Bi, B., Dai, K., Wang, Y., Fu, J., Cao, Y., and Liu, C.: Advances in techniques of quantitative precipitation forecast, J. Appl. Meteorol. Sci., 27, 534–549, https://doi.org/10.11898/1001-7313.20160503, 2016. 
Casati, B., Wilson, L. J., Stephenson, D. B., Nurmi, P., Ghelli, A., Pocernich, M., Damrath, U., Ebert, E. E., Brown, B. G., and Mason, S.: Forecast verification: current status and future directions, Meteorol. Appl., 15, 3–18, https://doi.org/10.1002/met.52, 2008. 
Chen, F., Chen, J., Wei, Q., Li, J., Liu, C., Yang, D., Zhao, B., and Zhang, Z.: A new verification method for heavy rainfall forecast based on predictability II: Verification method and test, Acta. Meteorol. Sin., 77, 28–42, https://doi.org/10.11676/qxxb2019.003, 2019. 
Chen, H., Li, P., and Zhao, Y.: A review and outlook of verification and evaluation of precipitation forecast at convection-permitting resolution, Adv. Meteorol. Sci. Technol., 11, 155–164, https://doi.org/10.3969/j.issn.2095-1973.2021.03.018, 2021. 
Download
Short summary
By directly analyzing the proximity of precipitation forecasts and observations, a precipitation accuracy score (PAS) method was constructed. This method does not utilize a traditional contingency-table-based classification verification; however, it can replace the threat score (TS), equitable threat score (ETS), and other skill score methods, and it can be used to calculate the accuracy of numerical models or quantitative precipitation forecasts.
Share