1. 黄嘉佑, 统计动力分析与预报, 气象出版社, 243, 1993。 2. 朱正心, 随机动力处理在天气形势预报中的应用及微机业务系统, 大气科学, 19, 111~115, 1995。 3. 黄嘉佑, MOS方法的进展, 气象科技, 第3期, 18~21, 1984。 4. 黄嘉佑, 说说降水概率预报, 气象知识, 6, 2~3, 1995。 5. Kilpinen, J., The application of Kalman filter in statistical interpretation of numerical weather forecasts. Preprints 12th Conf. Probability and Statistics, Amer. Meteor. Soc., 11~16, 1992。 6. Simonsen, C., Self adaptive model output statistics based on Kkalman filtering, The WMO Training Workshop on the Interpretation on NWP Products in Terms of Local Weather Phenomena and There Verification Wageningen, The Nether lands, 1991。 7. Persson, A. O., Kalman filtering-A new approach to adaptive statistical interpretation of numrical meterorological forecasts. The WMOT raining Workshop on the Interpretation on NWP Products in Terms of Local Weather Phenomena and There Verification Wageningen, The Nether lands, 1991。 8. 黄嘉佑, 符长锋: 黄河三花地区汛期逐日降水MOS预报的因子选择试验, 气象学报, 51, 232~236, 1993。 9. 黄嘉佑, 符长锋: MOS降水预报中的非线性因子选择, 第六届全国现场统计文集, 现场统计委员会出版, 1993。 10. Dumais Jr, R. E. and K. C. Young, Using a self-learnning algorithm for single-station quantitative precipitation forecasting in Germany, Wea. Forecasting, 10, 105~113, 1995。 11. Abdel-Aaland, R. E. and M. A. Elhadidy, Modeling and forecasting the daily maximum tem perature using abductive machine learning, Wea. Forecasting, 10, 310~325, 1995。 |