气象学报2026，Vol.84Issue(4)：711-730,20.DOI:10.11676/qxxb2026.20260014
CMA对流尺度集合随机物理倾向扰动参数敏感性研究
Sensitivity study of the stochastic perturbed parameterization tendencies(SPPT)in the CMA convection-permitting ensemble prediction system
摘要
Abstract
Effective representation of model uncertainty is crucial for improving the forecast skill of convection-permitting ensemble prediction system.The Stochastic Perturbed Parameterization Tendencies(SPPT)scheme is one of the primary approaches used to represent model uncertainty,and its effect is controlled by three parameters:Perturbation magnitude,temporal correlation scale,and horizontal perturbation scale.There have been few studies on the optimization of these three parameters for the operational 3 km CMA-REPS(Regional Ensemble Prediction System of China Meteorological Administration)v4.0.Based on CMA-REPS,this study selects 13 heavy rainfall cases in North China in 2024 to conduct SPPT parameter sensitivity experiments.The forecast skill for upper-air and surface variables,precipitation,and perturbation energy growth are analyzed.First,using a smaller magnitude(with a standard deviation of 0.35)and dropping attenuation of the perturbations within the boundary layer most effectively enhances the forecast skill of the variables.Second,a 3 h temporal scale is conducive to improving the forecast skill within the initial 12 h,whereas a 6 h time scale performs better after 24 h of integration.A horizontal scale of 500 km yields the best overall performance.Compared with a 1000 km scale,it improves the spread and consistency for most variables.Further reducing the scale to 200 km can improve light and moderate rain forecasts within the initial 12 h but leads to a decline in forecast skill after 18 h.Third,spatiotemporal scales significantly influence the perturbation energy growth.The 3 h temporal scale promotes the perturbation energy growth across scales within the initial 12 h,while the 6 h scale is more favorable for perturbation growth after 18 h.The 500 km horizontal scale is most beneficial for the development of difference kinetic energy and difference latent energy.Although the 200 km horizontal scale can initially enhance low-level perturbation energy and promote smaller-scale perturbation growth during convectively active periods,it results in the minimal development of larger-and meso-scale components,as well as perturbation in the middle and late periods of integration.In conclusion,a 0.35 standard deviation with unattenuated boundary layer perturbations,a 6 h temporal scale,and a 500 km horizontal scale are recommended.关键词
CMA对流尺度集合预报/随机物理倾向扰动方法/扰动能量增长/预报技巧Key words
Convection-permitting ensemble prediction system of CMA/Stochastic Perturbed Parameterization Tendencies(SPPT)/Perturbation energy growth/Forecast skill分类
天文与地球科学引用本文复制引用
马雅楠,陈静,李红祺,王婧卓,冯薇..CMA对流尺度集合随机物理倾向扰动参数敏感性研究[J].气象学报,2026,84(4):711-730,20.基金项目
国家自然科学基金气象联合基金重点项目(U2242213)、国家自然科学基金项目(42475167). （U2242213）
