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投稿时间:2024-04-08 修订日期:2025-01-13
投稿时间:2024-04-08 修订日期:2025-01-13
中文摘要: 基于北京气候中心第3代气候模式系统的第2代次季节至季节预测子系统(BCC-CPSv3-S2Sv2,以下简称CPSv3)模式的次季节降水预测结果,采用多种评估检验方法对模式在长江流域汛期的预测效果进行检验,评估模式在长江流域汛期次季节逐日/逐旬降水的预测技巧,研究模式误差特征,分析模式降水可用预测时效。结果表明:CPSv3模式对于长江流域汛期降水整体存在系统性高估,在长江中下游的预测技巧高于长江上游;模式逐旬预测技巧随着起报时间的临近而提高,但旬内提前5 d预测的布里尔评分优于提前1 d的预测;模式对于长江流域汛期逐日定量预测的有效预测时间为1旬左右,对于汛期降水异常的趋势预测检验也与之类似,提前1旬预测的技巧明显高于提前2旬的结果;对汛期降水异常的概率预测结果分析显示提前2~3旬的预测也有一定的参考价值。此外,模式在实况降水整体偏少情况下的预测技巧总体高于降水偏多情况,对中雨及以上量级降水的预报能力仍有较大改进空间。
中文关键词: 次季节至季节,CPSv3模式,降水预测,长江流域
Abstract:Based on the prediction results of Beijing Climate Center-Climate Prediction System version 3-Subseasonal to Seasonal version 2 (BCC-CPSv3-S2Sv2), various evaluation and test methods are used to test the prediction effect of the model in the flood season across the Yangtze River Basin, and to evaluate the prediction skills of subseasonal daily/dekad precipitation in the flood season in the Yangtze River Basin. The model error characteristics and the available prediction lead time of model precipitation are analyzed. The results show that the model systematically overestimates the precipitation in flood season in the Yangtze River Basin as a whole, and its prediction skill in the middle and lower reaches of the Yangtze River is higher than that in the upper reaches of the Yangtze River. The dekad prediction skill of the model is improved with the initial time approaching, but the BS predicted 5 d ahead is better than that predicted 1 d ahead. The effective prediction time of the model for the daily quantitative prediction in the flood season in the Yangtze River Basin is about ten days, and its qualitative prediction of the precipitation anomaly in the flood season is similar. The skill of model prediction 1 dekad ahead is obviously higher than that 2 dekads ahead. The analysis results of the probabilistic prediction of precipitation anomalies during the flood season show that the prediction 2 to 3 dekads ahead also has some reference values. In addition, the prediction skill of model under less rain scenario is better than that under excessive rain scenario. There is still much room for improving the prediction capability for the moderate rainfall and above.
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基金项目:中国气象局复盘总结专项(FPZJ2024-084)、湖北省自然科学基金项目(2023AFD103)、中国长江电力股份有限公司项目(2423020048)和武汉市气象科技联合基金项目(2024020901030459)共同资助
引用文本:
孙晨,杨青青,吴碧琼,杜良敏,洪佳颖,2025.BCC-CPSv3次季节降水预测在长江流域汛期的检验评估[J].气象,51(6):724-734.
SUN Chen,YANG Qingqing,WU Biqiong,DU Liangmin,HONG Jiaying,2025.Performance Evaluation of BCC-CPSv3 Subseasonal Precipitation Prediction in the Flood Season of the Yangtze River Basin[J].Meteor Mon,51(6):724-734.
孙晨,杨青青,吴碧琼,杜良敏,洪佳颖,2025.BCC-CPSv3次季节降水预测在长江流域汛期的检验评估[J].气象,51(6):724-734.
SUN Chen,YANG Qingqing,WU Biqiong,DU Liangmin,HONG Jiaying,2025.Performance Evaluation of BCC-CPSv3 Subseasonal Precipitation Prediction in the Flood Season of the Yangtze River Basin[J].Meteor Mon,51(6):724-734.
