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The Progress on Application of Ensemble Prediction to Flood Forecasting
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摘要:
水文集合预报是近几年正在形成和发展的水文预报分支，其发展大致可分为两个阶段：第1阶段是1970年至20世纪末进行的长期径流预报，第2阶段从21世纪开始，主要学习气象数值预报中集合预报的概念在短期水文集合预报中的应用。目前，除了单一预报中心的集合预报系统在水文集合预报中应用外，多个预报中心的集合预报大集合也逐渐被应用于流域水文预报，甚至一些小流域的洪水预报。如利用TIGGE (THORPEX Interactive Grand Global Ensemble) 集合预报驱动形成的大气-水文-水力的串联系统进行早期的洪水预警研究, 将全球集合预报作为洪水模型输入的有限区域模式的初始条件和侧边界条件的研究。这些均表明，基于水文集合预报的洪水预报增加了预报附加值，并能够延长预警提前时间。以欧洲中期天气预报中心的欧洲洪水预警系统 (EFAS) 和美国NOAA的先进水文预报系统 (AHPS) 为代表，实现了集合预报在洪水中的实时业务预报, 但仍存在数据处理和计算量大，以及如何基于集合水文预报做决策等问题。对于水文集合预报的前处理和后处理的各种技术已处于探索和验证阶段，如何更好地理解基于概率预报的洪水预警决策仍存在许多困难和挑战。
Abstract:Hydrological Ensemble Prediction is a forming and developing branch of hydrology. Its development can be roughly divided into two stages. The first stage is the longer term streamflow predictions stage from 1970 to the end of the 20th Century, and the second stage is to learn the concept of the numerical weather forecast applied to hydrological ensemble prediction at the beginning of the 21st Century. Compared with the single deterministic prediction meteorological, ensemble numerical forecasting can describe the uncertainly quantitatively. In recent ten years, the application of meteorological ensemble numerical forecasting to hydrological ensemble prediction on the warning of flood forecasting attaches great importance.In addition to single ensemble system, multiple ensemble system is gradually applied to hydrological ensemble forecast, even in some small basins. To study potential benefits of using the TIGGE database in early flood warning, an atmospheric-hydrologic-hydraulic coupled cascade system driven by TIGGE ensemble forecasts is set up. Some hydrological ensemble prediction systems use high resolution ECMWF-EPS or limited area EPS as weather forecasts as initial and boundary conditions. Over the past decade, many studies show that forecasts based on hydrological ensemble prediction systems not only can add accuracy but also increase the warning lead time. The European Flood Alert System and the Advanced Hydrologic Prediction Services of NOAA realize real-time prediction in flood forecast, but there are still some problems, such as large amount of calculation and massive data to handle.The various pre-process and post-process of ensemble forecasts of techniques are in the stage of exploration and verification. Besides, there are a great deal of challenges and difficulties in understanding how to make flood warning decisions based on probabilistic forecasts better.
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图 2 气象-水文集合预报示意图
Fig. 2 The flow chart of application of ensemble prediction system to warning of inundation
图 3 淮河流域两个子流域不同季节、不同预见期 (1~14 d) 集合预报累积降水后处理Brier技巧评分[28]
Fig. 3 Brier skill scores (BSS) of post-processing ensemble forecasts of cumulative precipitation for different lead times (1-14 days) and different seasons (including all seasons) in two sub-basins of the Huai River Basin (from Reference [28])
表 1 国际主要的数值集合预报驱动的洪水预报 (准) 业务系统[40]
Table 1 Examples of operational and pre-operational flood forecasting systems routinely using ensemble weather predictions as inputs (from Reference [40])
预报服务机构及项目 集合数值预报输入场 欧盟联合研究中心的欧洲洪水预警系统 (EFAS) ECMWF，COSMO-LEPS (Consortium for Small-Scale Modelling-Limited-area Ensemble Prediction System) 佐治亚理工学院 (孟加拉国项目) ECMWF 芬兰水文局 ECMWF 瑞典水文气象局 ECMWF 美国国家海洋大气管理局先进水文预报系统 (AHPS) NOAA 概率水文和大气洪水事件模拟的中尺度高山计划示范 (瑞士阿尔卑斯山地区) COSMO-LEPS 匈牙利布达佩斯水资源研究所 ECMWF 荷兰水运局 ECMWF, COSMO-LEPS 比利时皇家气象研究所 ECMWF 比利时佛兰德环境署 ECMWF 法国气象局 ECMWF，Arpege EPS 奥地利蒂洛尔州萨尔茨堡市土地委员会 ECMWF和Aladin集成模式 巴伐利亚洪水预报中心 COSMO-LEPS 
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[1] Reynard N S, Prudhomme C, Crooks S M.The flood characteristics of large UK rivers:Potential effects of changing climate and land use. Climatic Change, 2004, 48(2-3):343-359. doi: 10.1023/A:1010735726818 [2] 张洪刚, 郭生练, 何新林, 等.水文预报不确定性的研究进展与展望.石河子大学学报:自然科学版, 2006, 24(1):15-21. http://www.cnki.com.cn/Article/CJFDTOTAL-SHZN200601003.htm [3] He Y, Wetterhall F, Cloke H L, et al.Tracking the uncertainty in flood alerts driven by grand ensemble weather predictions. Meteorological Applications (Special Issue:Flood Forecasting and Warning), 2009, 16(1):91-101. https://www.researchgate.net/publication/227659973_Tracking_the_uncertainty_in_flood_alerts_driven_by_grand_ensemble_weather_predictions [4] Andrew W W, Dennis P L.An ensemble approach for attribution of hydrologic prediction uncetainty. Geoghys Res Lett, 2008, 35:14, L14401. doi: 10.1029/2008GL034648/full [5] Ahrens B, Jaun S.On evaluation of ensemble precipitation forecasts with observation-based ensembles. Adv Geo Sci, 2007, 10:139-144. https://www.researchgate.net/publication/26457121_On_evaluation_of_ensemble_precipitation_forecasts_with_observation-based_ensembles [6] Gourley J J, Vieux B E.A method for evaluating the accuracy of quantitative precipitation estimates from a hydrologic modeling perspective. J Hydrometeorol, 2005, 6(2):115-133. doi: 10.1175/JHM408.1 [7] Krzysztofowicz R.Bayesian system for probabilistic river stage forecasting. J Hydrol, 2002, 268(1-4):16-40. doi: 10.1016/S0022-1694(02)00106-3 [8] Pappenberger F, Beven K, Hunter N, et al.Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS). Hydrol Earth Syst Sci, 2005, 9(4):381-393. doi: 10.5194/hess-9-381-2005 [9] Verbunt M, Zappa M, Guttz J, et al.Verification of a coupled hydrometeorological modelling approach for alpine tributaries in the Rhine basin. J Hydrol, 2006, 324(1-4):224-238. doi: 10.1016/j.jhydrol.2005.09.036 [10] 陆桂华, 吴志勇, Lei W, 等.陆气耦合模型在实时暴雨洪水预报中的应用.水科学进展, 2006, 17(6):847-852. http://www.cnki.com.cn/Article/CJFDTOTAL-SKXJ200606016.htm [11] Lin C A, Lei W, Lu G H, et al.Atmospheric-hydrological modeling of severe precipitation and floods in the Huaihe River Basin, China. J Hydrol, 2006, 330:249-259. doi: 10.1016/j.jhydrol.2006.03.028 [12] 王莉莉, 陈德辉, 赵琳娜.GRAPES气象-水文模式在一次洪水预报中的应用.应用气象学报, 2012, 23(3):274-284. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20120303&flag=1 [13] 彭涛, 位承志, 叶金桃, 等.汉江丹江口流域水文气象预报系统.应用气象学报, 2014, 25(1):112-119. doi: 10.11898/1001-7313.20140112 [14] 王元.中国致灾暴雨研究的进展和若干热点问题——第四次全国暴雨学术研讨会.科学技术与工程, 2002, 2(6):88-91. http://www.cnki.com.cn/Article/CJFDTOTAL-KXJS200206029.htm [15] 何光碧, 屠妮妮, 张利红.多模式对四川一次强降水过程不确定性预报分析.高原山地气象研究, 2009, 29(4):18-26. http://www.cnki.com.cn/Article/CJFDTOTAL-SCCX200904003.htm [16] 沈铁元, 廖移山, 彭涛, 等.定量分析数值模式日降水预报结果的不确定性.气象, 2011, 37(5):540-546. doi: 10.7519/j.issn.1000-0526.2011.05.004 [17] 陈活泼, 孙建奇, 陈晓丽.我国夏季降水及相关大气环流场未来变化的预估及不确定性分析.气候与环境研究, 2012, 17(2):171-183. doi: 10.3878/j.issn.1006-9585.2011.10137 [18] 梁莉, 赵琳娜, 巩远发, 等.淮河流域汛期20日内最大日降水量概率分布.应用气象学报, 2011, 22(4):421-428. doi: 10.11898/1001-7313.20110404 [19] Demeritt D, Cloke H, Pappenberger F, et al.Ensemble predictions and perceptions of risk, uncertainty, and error in flood forecasting. Environ Hazards, 2007, 7(2):115-127. doi: 10.1016/j.envhaz.2007.05.001 [20] Xuan Y, Cluckie D, Wang Y.Uncertainty analysis of hydrological ensemble forecasts in a distributed model utilizing short-range rainfall prediction. Hydrol Earth Syst Sci, 2009, 13:293-303. doi: 10.5194/hess-13-293-2009 [21] Roulin E.Skill and relative economic value of medium-range hydrological ensemble prediction. Hydrol Earth Syst Sci, 2007, 11:725-737. doi: 10.5194/hess-11-725-2007 [22] Day G N.Extended streamflow prediction using NWSRFS. Journal of Water Resources Planning and Management, 1985, 111:157-170. doi: 10.1061/(ASCE)0733-9496(1985)111:2(157) [23] Cloke H L, Pappenberger F.Evaluating forecasts for extreme events for hydrological applications:An approach for screening unfamiliar performance measures. Meteorological Applications, 2008, 15(1):181-197. doi: 10.1002/(ISSN)1469-8080 [24] Buizza R.The value of probabilistic prediction. Atmos Sci Lett, 2008, 9:36-42. doi: 10.1002/(ISSN)1530-261X [25] Friederichs P, Hense A.A probabilistic forecast approach for daily precipitation totals. Wea Forecasting, 2008, 23(4):659-673. doi: 10.1175/2007WAF2007051.1 [26] 赵琳娜, 吴昊, 田付友, 等.基于TIGGE的流域概率性降水预报评估.气象, 2010, 36(7):133-142. doi: 10.7519/j.issn.1000-0526.2010.07.020 [27] Zhao Linna, Tian Fuyou, Wu Hao, et al.Verification and comparison of probabilistic precipitation forecasts using the TIGGE data in the upriver of huaihe basin. Advances in Geosciences, 2011, 29:95-102. doi: 10.5194/adgeo-29-95-2011 [28] Liu Y, Duan Q, Zhao L, et al.Evaluating the predictive skill of NCEP GFS ensemble precipitation forecasts in China's Huai River Basin. Hydrological Process, 2013, 27:57-74. doi: 10.1002/hyp.v27.1 [29] 刘永和, 严中伟, 冯锦明, 等.基于TIGGE资料的沂沭河流域6小时降水集合预报能力分析.大气科学, 2013, 37(3):539-551. doi: 10.3878/j.issn.1006-9895.2012.11078 [30] 王东海, 杜钧, 柳崇健.正确认识和对待天气气候预报的不确定性.气象, 2011, 37(4):385-391. doi: 10.7519/j.issn.1000-0526.2011.04.001 [31] Schaake J, Hamill T H, Buizza R, et al.HEPEX-The hydrological ensemble prediction experiment. Bull Amer Meteor Soc, 2007, 88(10):1541-1547, doi: 10.1175/BAMS-88-10-1541. [32] 武震, 张世强, 丁永建.水文系统模拟不确定性研究进展.中国沙漠, 2007, 27(5):890-896. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGSS200705029.htm [33] Thielen J, Schaake J, Hartman R, et al.Aims, challenges and progress of the Hydrological Ensemble Prediction Experiment (HEPEX) following the third HEPEX workshop held in Stresa 27 to 29 June 2007. Atmos Sci Lett, 2008, 9:29-35. doi: 10.1002/(ISSN)1530-261X [34] Pappenberger F, Bartholmes J, Thielen J, et al.New dimensions in early flood warning across the globe using grand-ensemble weather predictions. Geophys Res Lett, 2008, 35(10):L10404. doi: 10.1029/2008GL033837 [35] 包红军, 赵琳娜.基于集合预报的淮河流域洪水预报研究.水利学报, 2012, 43(2):216-224. http://www.cnki.com.cn/Article/CJFDTOTAL-SLXB201202015.htm [36] Zhao Linna, Qi Dan, Tian Fuyou, et al.Probabilistic flood prediction in the Upper Huaihe catchment using TIGGE data. Acta Meteor Sinica, 2012, 26(1):62-71. doi: 10.1007/s13351-012-0106-3 [37] Thielen J, Bartholmes J, Ramos M H, et al.The European flood alert system-part 1:Concept and development. Hydrol Earth Syst Sci, 2009, 13(2):125-140. doi: 10.5194/hess-13-125-2009 [38] Mcenery J, Ingram J, Duan Q, et al.NOAA's advanced hydrologic prediction service. Bull Amer Meteor Soc, 2005, 86(3):375-385. doi: 10.1175/BAMS-86-3-375 [39] Ramos M, Bartholmes J, Thielen-del P J.Development of decision support products based on ensemble forecasts in the European flood alert system. Atmos Sci Lett, 2007, 8(4):113-119. doi: 10.1002/(ISSN)1530-261X [40] Cloke H L, Pappenberger F.Ensemble flood forecasting:A review. J Hydrology, 2009, 375:613-626. doi: 10.1016/j.jhydrol.2009.06.005 [41] Webster P J, Jian J, Hopson T M, et al.Extended-range probabilistic forecasts of ganges and brahmaputra floods in bangladesh. Bull Amer Meteor Soc, 2010, 91(11):1493-1514. doi: 10.1175/2010BAMS2911.1 [42] 陈静, 颜宏.集合数值预报发展与研究进展.应用气象学报, 2002, 13(4):497-507. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20020465&flag=1 [43] 杜钧.集合预报的现状和前景.应用气象学报, 2002, 13(1):16-28. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20020102&flag=1 [44] 杜钧, 陈静.天气预报的公众评价与发布形式的变革.气象, 2010, 36(1):3-6. doi: 10.7519/j.issn.1000-0526.2010.01.001 [45] Tracton M S, Kalnay E.Operational ensemble prediction at the national meteorological center:Practical aspects. Wea Forecasting, 1993, 8:379-398. doi: 10.1175/1520-0434(1993)008<0379:OEPATN>2.0.CO;2 [46] Buizza R, Hollingsworth A, Lalaurette F, et al.Probabilistic predictions of precipitation using the ECMWF ensemble prediction system. Wea Forecasting, 1999, 14:168-189. doi: 10.1175/1520-0434(1999)014<0168:PPOPUT>2.0.CO;2 [47] Burger G, Reusser D, Kneis D.Early flood warnings from empirical (expanded) downscaling of the full ECMWF ensemble prediction system. Water Resources Research, 2009, 45(10):1-15. https://www.researchgate.net/publication/230704563_Early_flood_warnings_from_empirical_expanded_downscaling_of_the_full_ECMWF_Ensemble_Prediction_System [48] Schaake J, Franz K, Bradley A, et al.The Hydrologic Ensemble Prediction Experiment (HEPEX). Hydrol Earth Syst Sci Discuss, 2006, 3:3321-3332. doi: 10.5194/hessd-3-3321-2006 [49] 李俊, 廖移山, 张兵, 等.集合数值预报方法在山洪预报中的初步应用.高原气象, 2007, 23(4):854-861. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX200704023.htm [50] 彭涛, 李俊, 殷志远, 等.基于集合降水预报产品的汛期洪水预报试验.暴雨灾害, 2010, 29(3):274-278. http://www.cnki.com.cn/Article/CJFDTOTAL-HBQX201003012.htm [51] Bao Hongjun, Zhao Linna.Development and application of an atmospheric-hydrologichydraulic flood forecasting model driven by TIGGE ensemble forecasts. Acta Meteor Sinica, 2012, 26(1):93-102. doi: 10.1007/s13351-012-0109-0 [52] 吴娟, 陆桂华, 吴志勇, 等.基于多模式降水集成的陆气耦合洪水预报.水文, 2012, 32(5):1-6. http://www.cnki.com.cn/Article/CJFDTOTAL-SWZZ201205000.htm [53] Zhang W C, Xu J W, Liu Y H, et al.A Catchment Level Early Flood Warning Approach by Using Grand-ensemble Weather Predictions:Verification and Application for a Case Study in the Linyi Catchment, Shangdong, China.TIGGE-B Poster Session, Third THORPEX International Science Symposium (TTISS), 2009:14-18. [54] Xu Jingwen, Zhang Wanchang, Zheng Ziyan, et al.Early flood warning for Linyi watershed by the GRAPES/XXT model using TIGGE data. Acta Meteor Sinica, 2012, 26(1):103-111. doi: 10.1007/s13351-012-0110-7 [55] Liu J, Xie Z H.Improving simulation of soil moisture in China using multiple meteorological forcing ensemble approach. Hydrol Earth Syst Sci, 2013, 17:3355-3369. doi: 10.5194/hess-17-3355-2013 [56] He Y, Wetterhall F, Bao H, et al.Ensemble forecasting using TIGGE for the July-September 2008 floods in the Upper Huai catchment:A case study. Atmos Sci Lett, 2010, 11(2):132-138. doi: 10.1002/asl.270 [57] Goswami M, O'Connor K, Bhattarai K.Development of regionalization procedures using a multi-model approach for flow simulation in an un-gauged catchment. J Hydrol, 2007, 333(2-4):517-531. doi: 10.1016/j.jhydrol.2006.09.018 [58] Shapiro M A, Thorpe A J.THORPEX International Science Plan.WMO/TD, 2004:1246. [59] Park Y Y, Buizza R, Leutbecher M.TIGGE:Preliminary Results on Comparing and Combining Ensembles.ECMWF TM 548, ECWMF:Reading, 2007. [60] Buizza R, Petroliagis T, Palmer T N, et al.Impact of ensemble resolution and size on the performance of an ensemble prediction system. Quart J Royal Meteor Soc, 1998, 124:1935-1960. doi: 10.1002/(ISSN)1477-870X [61] Mullen S L, Buizza R.The impact of horizontal resolution and ensemble size on probabilistic forecasts of precipitation by the ECMWF ensemble prediction system. Wea Forecasting, 2002, 17(2):173-191. doi: 10.1175/1520-0434(2002)017<0173:TIOHRA>2.0.CO;2 [62] Paul J R, David M S, Brian A C, et a1. Toward improved prediction:High-resolution and ensemble modeling systems in operation. Wea Forecasting, 2004, 19(5):936-949. doi: 10.1175/1520-0434(2004)019<0936:TIPHAE>2.0.CO;2 [63] Du J, Traction M S.Implementation of a Real-time Short-range Ensemble Forecasting System at NCEP:An Update//Preprints, 9th Conference on Mesoscale Process.2001:355-356. [64] De Roo A, Gouweleeuw B, Thielen J, et al.Development of a European flood forecasting system. International Journal of River Basin Management, 2003, 1(1):49-59. doi: 10.1080/15715124.2003.9635192 [65] Bartholmes J, Todini E.Coupling meteorological and hydrological models for flood forecasting. Hydrol Earth Syst Sci, 2005, 9(4):333-346. doi: 10.5194/hess-9-333-2005 [66] Cluckie I D, Xuan Y, Wang Y.Uncertainty analysis of hydrological ensemble forecasts in a distributed model utilizing short-range rainfall prediction. Hydrol Earth Syst Sci Discuss, 2006, 3:3211-3237. doi: 10.5194/hessd-3-3211-2006 [67] Beven K, Romaniwicz R, Pappenberger F, et al.The Uncertainty Cascade in Flood Forecasting//Balbanis P, Lambroso D, Samuels P.Advances and Implementation of Flood Forecasting Technology.ACTIF:Tromso, 2005. [68] Klein W H, Lewis B M, Enger I.Objective prediction of five-day mean temperatures during winter. J Atmos Sci, 1959, 16:672-682. https://www.researchgate.net/publication/234221232_Objective_Prediction_of_Five-Day_Mean_Temperatures_during_Winter [69] Glahn B, Peroutka M, J Wiedenfeld, et al.MOS uncertainty estimates in an ensemble framework. Mon Wea Rev, 2009, 137(1):246-268. doi: 10.1175/2008MWR2569.1 [70] Raftery A E, Gneiting T, Balabdaoui F, et al.Using Bayesian Model averaging to calibrate forecast ensembles. Mon Wea Rev, 2005, 133:1155-1174. doi: 10.1175/MWR2906.1 [71] 刘建国, 谢正辉, 赵琳娜, 等.基于TIGGE多模式集合的24小时气温BMA概率预报.大气科学, 2013, 37(1):43-53. doi: 10.3878/j.issn.1006-9895.2012.11232 [72] Krzysztofowicz R, Maranzano C J.Bayesian Processor of Output for Probabilistic Quantitative Precipitation Forecasts.Virginia:University of Virginia, 2006. [73] Sloughter J M, Raftery A E, Gneiting T, et al.Probabilistic quantitative precipitation forecasting using bayesian model averaging. Mon Wea Rev, 2007, 135:3209-3220. doi: 10.1175/MWR3441.1 [74] Schaake J, Demargne J, Hartman R, et al.Precipitation and temperature ensemble forecasts from single-value forecasts. Hydrol Earth Syst Sci Discuss, 2007, 4:655-717. doi: 10.5194/hessd-4-655-2007 [75] Clark M, Gangopadhyay S, Hay L, et al.The Schaake shuffle:A method for reconstructing space-time variability in forecasted precipitation and temperature fields. J Hydrometeorology, 2004, 5(1):243-262. doi: 10.1175/1525-7541(2004)005<0243:TSSAMF>2.0.CO;2 [76] Yang Chi, Yan Zhongwei, Shao Yuehong.Probabilistic precipitation forecasting based on ensemble output using generalized additive models and bayesian model averaging. J Meteor Res, 2012, 26(1):1-12. doi: 10.1007/s13351-012-0101-8 [77] 梁莉, 赵琳娜, 齐丹, 等.基于贝叶斯原理降水订正的水文概率预报试验.应用气象学报, 2013, 24(4):416-424. doi: 10.11898/1001-7313.20130404 [78] Liu J, Xie Z H.BMA probabilistic quantitative precipitation forecasting over the Huaihe basin using TIGGE multi-model ensemble forecasts. Mon Wea Rev, 2014, 142:1542-1555. doi: 10.1175/MWR-D-13-00031.1 [79] 段青云, 叶爱中.改善水文气象预报的统计后处理.水资源研究, 2012, 1:161-168. http://cpfd.cnki.com.cn/Article/CPFDTOTAL-ZGQX201510007015.htm [80] O'Connell P E, Clarke R T.Adaptive hydrological forecasting:A review. Hydrol Sci Bull, 1981, 26(2):179-205. doi: 10.1080/02626668109490875 [81] Refsgaard J C.Validation and intercomparison of different updating procedures for real-time forecasting. Nordic Hydrology, 1997, 28(2):65-84. https://www.researchgate.net/publication/279556477_Validation_and_Intercomparison_of_Different_Updating_Procedures_for_Real-Time_Forcasting [82] Goswani M, O'Connor K M, Bhattarai K P, et al.Assessing the performance of eight real-time updating models and procedures for the Brosna River. Hydrol Earth Syst Sci, 2005, 9(4):394-411. doi: 10.5194/hess-9-394-2005 [83] Seo D J, Herr H D, Chaake J S.A statistical post-processor for accounting of hydrologic uncertainty in short-range ensemble streamflow prediction. Hydrol Earth Syst Sci Discuss, 2006, 3(4):1987-2035. doi: 10.5194/hessd-3-1987-2006 [84] Bogner K, Thielen J, Bartholmes J, et al.Bias Correction Methods and Evaluation of an Ensemble Based Hydrological Forecasting System for the Upper Danube Catchment//3rd HEPEX Workshop Book of Abstracts.EUR22861 EN, 2007:21-22. [85] Bogner K, Kalas M.Error-correction methods and evaluation of an ensemble based hydrologic forecasting system for the Upper Danube catchment. Atmos Sci Lett, 2008, 9(2):95-102. doi: 10.1002/(ISSN)1530-261X [86] Reggiani P, Renner M, Weerts A H, et al.Uncertainty assessment via bayesian revision of ensemble streamflow predictions in the operational river Rhine forecasting system. Water Resources Research, 2009, 45(2), doi: 10.1029/2007WR006758. [87] 姜迪, 智海, 赵琳娜, 等.通用线性模型在气象水文集合预报后处理中的应用.大气科学学报, 2014, 37(2):229-236. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX201402012.htm [88] 刘莹, 赵琳娜, 段青云, 等. 一种由单值预报生成概率预报的方法//第28届中国气象学会年会论文集——S17第三届研究生年会. 北京: 气象出版社, 2011: 718. [89] Zappa M, Rotach M W, Arpagaus M, et al.MAP D-PHASE:Real-time demonstration of hydrological ensemble prediction systems. Atmos Sci Lett, 2008, 2:80-87, doi: 10.1002/asl.183. [90] Preface:Hydrological Ensemble Prediction Systems. Hydrol Process, 2013, 27:1-4. [91] Demeritt D, Nobert S, Cloke H L, et al.Challenges in communicating and using ensembles in operationalflood forecasting. Meteorological Applications, 2010, 17(2):209-222, doi: 10.1002/met.194. [92] Nobert S, Demeritt D, Cloke H L.Informing operationalflood management with ensemble predictions:Lessons from Sweden. Journal of Flood Risk Management, 2010, 3:72-79. doi: 10.1111/jfrm.2010.3.issue-1 [93] Ramos M H, Mathevet T, Thielen J, et al.Communicating uncertainty in hydro-meteorological forcasts:Mission impossible? Meteorological Applications, 2010, 17:223-235, doi: 10.1002/met.201. -
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