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出 处:《气候与环境研究》1999年第4期353-364,共12页Climatic and Environmental Research
基 金:国家自然科学基金!49505070 ;国家科委攀登项目!95 - 预- 21 攻关的支持
摘 要:采用一套多指标的评估方法, 对中国科学院大气物理所研制的短期气候距平数值预测系统(IAPPSSCA) 方案1 的预测性能进行了定量的、系统的评估。评估表明: IAPPSSCA 对中国汛期大尺度的、重大的降水异常预报较好; 在不同区域,IAPPSSCA 的预测能力不同, 对中国东南区域显示出较高的预报准确度和可信度; 与单个预报相比, 集合预测水平稳定, 能提高总体预测水平。另外, 还对订正技术进行了改进研究, 距平百分率订正较距平订正效果为佳。Prediction capability of prediction system of short-term climate anomaly (IAP PSSCA) is quantitatively evaluated after a set of 13-year and 5-member ensemble experiments have been carried out. It is shown that IAP PSSCA demonstrates encouraged prediction capability of summer precipitation anomalies in China, especially for strong summer precipitation anomalies which caused climate disasters, such as serve drought or flood in East China. The predictive effects have apparent difference between regions, for example, Southeast China including the region of the Yangtze River and South China has the highest skill over the country. Ensemble prediction is essential for short-term climate prediction because ensemble prediction is more stable than single prediction. Furthermore, improvement to correction technology is also undertaken.
分 类 号:P456.1[天文地球—大气科学及气象学]
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