Applequist S, Gahrs G E, Pfeffer R L, et al. 2002. Comparison of methodologies for probabilistic quantitative precipitation forecasting [J]. Wea. Forecasting, 17 (4): 783-799.
[2]
Barnston A G, Mason S J, Goddard L, et al. 2003. Multimodel ensembling in seasonal climate forecasting at IRI [J]. Bull. Amer. Meteor. Soc., 84 (12): 1783-1796.
[3]
Bermowitz R J. 1975. An application of model output statistics to forecasting quantitative precipitation [J]. Mon. Wea. Rev., 103 (2): 149- 153.
[4]
陈静, 陈德辉, 颜宏. 2002. 集合数值预报发展与研究进展 [J]. 应用气象学报, 13 (4): 497-507. Chen Jing, Chen Dehui, Yan Hong. 2002. A brief review on the development of ensemble prediction system [J]. Journal of Applied Meteorological Science (in Chinese), 13 (4): 497-507.
[5]
杜钧, 陈静. 2010. 单一值预报向概率预报转变的基础: 谈谈集合预报及其带来的变革 [J]. 气象, 36 (11): 1-11. Du Jun, Chen Jing. 2010. The corner stone in facilitating the transition from deterministic to probabilistic forecast-ensemble forecasting and its impact on numerical weather prediction [J]. Meteorological Monthly (in Chinese), 36 (11): 1-11.
[6]
Duan Q, Ajami N K, Gao X, et al. 2007. Multimodel ensemble hydrologic prediction using Bayesian model averaging [J]. Advances in Water Resources, 30 (5): 1371-1386.
[7]
Fraley C, Raftery A E, Gneiting T. 2010. Calibrating multimodel forecast ensembles with exchangeable and missing members using Bayesian model averaging [J]. Mon. Wea. Rev., 138 (1): 190-202.
[8]
Glahn H R, Lowry D A. 1972. The use of model output statistics (MOS) in objective weather forecasting [J]. J. Appl. Meteor., 11 (8): 1203-1211.
[9]
Gneiting T, Raftery A E. 2005. Weather forecasting with ensemble methods [J]. Science, 310 (5746): 248-249.
[10]
Gneiting T, Raftery A E. 2007. Strictly proper scoring rules prediction and estimation [J]. J. Amer. Stat. Assoc., 102 (477): 359-378.
[11]
Grimitt E P, Mass C F. 2002. Initial results of a mesoscale short-range ensemble forecasting system over the Pacific Northwest [J]. Wea. Forecasting, 17 (2): 192-205.
[12]
Hamill T M, Whiltaker J S, Wei X. 2004. Ensemble re-forecasting: Improving medium-range forecast skill using retrospective forecasting [J]. Mon. Wea. Rev., 132: 1434-1447.
[13]
Krzysztofowicz R, Maranzano C J. 2006. Bayesian processor of output for probabilistic quantitative precipitation forecasts [D]. Ph. D. dissertation, Department of System Engineering and Department of Statistics, University of Virginia.
[14]
Li Z, Yan Z W. 2009. Homogenized daily mean/maximum/minimum temperature series for China from 1960-2008 [J]. Atmospheric Oceanic Science Letters, 2 (4): 237-243.
[15]
赵琳娜,吴昊,田付友,等. 2010. 基于TIGGE资料的流域概率性降水预报评估 [J]. 气象, 36 (7): 133-142. Zhao Linna, Wu Hao, Tian Fuyou, et al. 2010. Assessment of probabilistic precipitation forecasts for the Huaihe basin using TIGGE data [J]. Meteorological Monthly (in Chinese), 36 (7): 133-142.
[16]
Molteni F, Buizza R, Palmer T N, et al. 1996. The ECWMF ensemble prediction system: Methodology and validation [J]. Quart. J. Roy. Meteor. Soc., 122 (529): 73-119.
[17]
Palmer T N, Alessandri A, Andersen U, et al. 2004. Development of a European multimodel ensemble system for seasonal-to-interannual prediction (DEMETER) [J]. Bull. Amer. Meteor. Soc., 85 (6): 853-872.
[18]
Raftery A E, Gneiting T, Balabdaoui F, et al. 2005. Using Bayesian model averaging to calibrate forecast ensembles [J]. Mon. Wea. Rev., 133 (5): 1155-1174.
[19]
Schmeits M J, Kok K J. 2010. A comparison between raw ensemble output, (modified) Bayesian model averaging and extended logistic regression using ECMWF ensemble prediction reforecasts [J]. Mon. Wea. Rev., 138 (11): 4199-4211.
[20]
Smith R L, Tebaldi C, Nychka D, et al. 2009. Bayesian modeling of uncertainty in ensembles of climate models [J]. Journal of the American Statistical Association, 104 (485): 97-11.
[21]
Sloughter J M, Gneiting T, Raftery A E. 2010. Probabilistic wind speed forecasting using ensembles and Bayesian model averaging [J]. Journal of the American Statistical Association, 105 (489): 25-35.
[22]
Sloughter, J M, Raftery A E, Gneiting T, et al. 2007. Probabilistic quantitative precipitation forecasting using Bayesian model averaging [J]. Mon. Wea. Rev., 135 (9): 3209-3220.
[23]
田向军, 谢正辉, 王爱慧, 等. 2011. 一种求解贝叶斯模型平均的新方法 [J]. 中国科学 (地球科学), 41 (11): 1679-1687. Tian Xiangjun, Xie Zhenghui, Wang Aihui, et al. 2011. A new approach for Bayesian model averaging [J]. Science China (Earth Science) (in Chinese), 41 (11): 1679- 1687.
[24]
Vrugt J A, Diks C G H, Clark M P. 2008. Ensemble Bayesian model averaging using Markov chain Monte Carlo sampling [J]. Environmental Fluid Mechanics, 8 (5): 579-595.
[25]
Wilson L J, Beauregard S, Raftery A E, et al. 2007. Calibrated surface temperature forecasts from the Canadian ensemble prediction system using Bayesian model averaging [J]. Mon. Wea. Rev., 135: 1364-1385.
[26]
杨赤, 严中伟, 邵月红. 2009. 基于TIGGE集合预报的概率定量降水预报 [C]// 变化环境下的水资源响应与可持续利用——中国水利学会水资源专业委员会2009学术年会论文集. 大连, 117. Yang Chi, Yan Zhongwei, Shao Yuehong. 2009. Probabilistic quantitative precipitation forecasts for TIGGE ensemble forecasts [C]// Water Resources Response and Sustainable Utilization under Changing Environment—Documents of 2009 Annual Conference of the Water Resources Professional Committee of Chinese Irrigation Works Society (in Chinese). Dalian, 117.