Advances of the Short-range Climate Prediction in China

Jia Xiaolong; Chen Lijuan; Gao Hui; Wang Yongguang; Ke Zongjian; Liu Changzheng; Song Wenling; Wu Tongwen; Feng Guolin; Zhao Zhenguo; Li Weijing

Vol.24, NO.6, 2013

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2013 > 24(6): 641-655

Jia Xiaolong, Chen Lijuan, Gao Hui, et al. Advances of the short-range climate prediction in China. J Appl Meteor Sci, 2013, 24(6): 641-655.

Citation:

Jia Xiaolong, Chen Lijuan, Gao Hui, et al. Advances of the short-range climate prediction in China. J Appl Meteor Sci, 2013, 24(6): 641-655.

Jia Xiaolong, Chen Lijuan, Gao Hui, et al. Advances of the short-range climate prediction in China. J Appl Meteor Sci, 2013, 24(6): 641-655.

Citation:

Jia Xiaolong, Chen Lijuan, Gao Hui, et al. Advances of the short-range climate prediction in China. J Appl Meteor Sci, 2013, 24(6): 641-655.

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Advances of the Short-range Climate Prediction in China

National Climate Center, Beijing 100081

Received Date: 2013-04-08
Rev Recd Date: 2013-08-21
Publish Date: 2013-12-31

Abstract

Abstract

Through the past 60-year development, the short-range climate prediction operation has made great progress in China in terms of the technology and methodology, undergoing the stages from the simple experiential statistic methods to numerical model. Especially in recent years, many objective prediction techniques and methods are well developed and applied in real-time operation. Meanwhile, many improved understanding and new knowledge of the climate system are also gradually used by climate forecasters.The ARGO (Array for Real-time Geostrophic Oceanography) global ocean data are applied in the global ocean data assimilation systems in NCC (NCC_GODAS), which enhances the monitoring and analyzing capability for the global ocean. The NCC_GODAS is integrated with coupled atmosphere-ocean models of NCC_CGCM, which increases the forecast skills for the short-term climate prediction. ARGO data are also applied for improving physical parameterization schemes in oceanic models, and the model capability of describing the real oceans and forecasting El Nio/Southern Oscillation is improved. The second-generation short-range climate forecast model, which upgrades many aspects of the resolution and physical process, exhibits a higher prediction skill comparing to the first-generation system. A preliminary evaluation indicates that the second-generation system shows a certain capability in predicting the pentad, ten-day, monthly, seasonal and inter-annual climate variability. The downscaling methods based on dynamical climate model are extensively used in operation including monthly prediction, seasonal prediction and extreme climate event prediction, improving the prediction skill of model production. Due to the limited predictability of a single model, multi-model ensemble (MME) is efficiently employed. Based on four operational dynamical models from NCC, NCEP, ECMWF and TCC, a multi-model ensemble system (MODES) is developed in NCC in 2011, in which downscaling technique is introduced and added to the ensemble prediction system. At present, this forecast system can issue monthly and seasonal ensemble prediction products and is applied by regional climate center. Based on the dynamical-statistical integration forecasting method, a forecasting system for seasonal precipitation (FODAS1.0) is developed, which has already been in quasi-operational use, showing stable prediction skill. The application of the intra-seasonal oscillation in the operational extended range forecast has made a great progress including that a MJO monitoring, prediction and application operational system is built up, and several forecast methods based on the intra-seasonal oscillation are applied. New knowledge and research achievements are gradually introduced into operation by forecaster, for example, in addition to the sea surface temperature (SST) in the equatorial mid-east Pacific, the SST in the Indian Ocean and the Atlantic Ocean are also seriously considered. In addition, the sea ice, snow cover over the Eurasia and the climate system in the Southern Hemisphere are also considered as the important impact factors in seasonal prediction.
- climate prediction;
- climate model;
- interpretation;
- East Asia Monsoon

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References(143)

References

[1]	陈兴芳, 赵振国.中国汛期降水预测研究及应用.北京:气象出版社, 2000. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[2]	王绍武.短期气候预测研究的历史及现状.北京:气象出版社, 1996. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[3]	赵振国, 刘海波.我国短期气候预测的业务技术发展.浙江气象, 2003, 24(3):1-6. http://www.cnki.com.cn/Article/CJFDTOTAL-ZJQX200303000.htm
[4]	张先恭, 钱承植.长期天气预报方法.北京:农业出版社, 1965. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[5]	王绍武, 赵宗慈.长期天气预报基础.上海:科技出版社, 1987. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[6]	章基嘉.中长期天气预报基础 (修订本).北京:气象出版社, 1994. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[7]	赵溱.分类逐步筛选相似预报.气象, 1978, 4(1):7-8. doi: 10.7519/j.issn.1000-0526.1978.01.006
[8]	张家诚, 赵溱, 许协江.统计预报中的组合因子方法.大气科学, 1978, 2(1):48-54. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK197801004.htm
[9]	魏凤英, 赵溱, 张先恭.逐步回归周期分析.气象, 1983, 9(2):2-4. doi: 10.7519/j.issn.1000-0526.1983.02.001
[10]	黄文杰, 曹鸿兴, 顾岚, 等.时间序列的ARIMA季节模型在长期预报中的应用.科学通报, 1980, 25(22):1030-1032. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB198022007.htm
[11]	魏凤英, 曹鸿兴.建立长期预测的新方案及其应用.科学通报, 1990, 35(10):777-780. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB199010015.htm
[12]	魏凤英, 张先恭.中国夏季降水趋势分布的客观预报方法.气候与环境研究, 1998, 3(3):218-226. http://www.cnki.com.cn/Article/CJFDTOTAL-QHYH803.003.htm
[13]	Gu Xiangqian, Jiang Jianmin.A complex autoregressive model and application to monthly temperature forecasts.Annales Geophysica, 2005, 23:3229-3235. doi: 10.5194/angeo-23-3229-2005
[14]	Wei Fengying, Xie Yu, Michae E M.Probabilistic trend of anomalous summer rainfall in Beijing:Role of interdecadal variability.J Geophys Res, 2008, 113, D20106.doi: 10.1029/2008JD010111.
[15]	魏凤英.我国短期气候预测的物理基础及其预测思路.应用气象学报, 2011, 22(1):1-11. doi: 10.11898/1001-7313.20110101
[16]	廖荃荪, 陈桂英, 陈国珍. 北半球西风带环流和我国夏季降水//全国中长期预报经验交流会编辑组. 长期天气预报文集. 北京: 气象出版社, 1982: 103-114.
[17]	赵振国.中国夏季旱涝及环境场.北京:气象出版社, 1999. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[18]	廖荃荪, 赵振国.我国东部夏季降水分布的季节预报方法.应用气象学报, 1992, 3(增刊):1-10. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX1992S1000.htm
[19]	赵振国, 陈国珍, 王永光, 等. 影响中国汛期降水物理因素的分析//国家气候中心. 气候变化与预测研究——国家气候中心成立五周年纪念文集. 北京: 气象出版社, 2000: 65-70.
[20]	王绍武.现代气候学研究进展.北京:气象出版社, 2001. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[21]	丁一汇, 李清泉, 李维京, 等.中国业务动力季节预报的进展.气象学报, 2004, 62(5):598-612. doi: 10.11676/qxxb2004.059
[22]	李维京, 张培群, 李清泉, 等.短期气候综合动力模式系统业务化及其应用.应用气象学报, 2005, 16(增刊):1-11. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2005S1000.htm
[23]	丁一汇, 刘一鸣, 宋永加, 等.我国短期气候动力预测模式系统的研究和试验.气候与环境研究, 2002, 7(2):236-246. http://www.cnki.com.cn/Article/CJFDTOTAL-QHYH200202010.htm
[24]	李维京, 陈丽娟.动力延伸预报产品释用方法的研究.气象学报, 1999, 57(3):338-345. doi: 10.11676/qxxb1999.032
[25]	陈丽娟, 李维京.月动力延伸预报产品的评估和解释应用.应用气象学报, 1999, 10(4):486-490. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=199904101&flag=1
[26]	陈丽娟, 李维京, 张培群, 等.降尺度技术在月降水预报业务中的应用.应用气象学报, 2003, 14(6):648-655. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20030682&flag=1
[27]	江双五, 田红, 陈丽娟.动力延伸预报产品释用方法改进试验.应用气象学报, 2005, 16(6):779-786. doi: 10.11898/1001-7313.20050602
[28]	林纾, 陈丽娟, 陈彦山, 等.月动力延伸预报产品在西北地区月降水预测中的释用.应用气象学报, 2007, 18(4):555-560. doi: 10.11898/1001-7313.20070417
[29]	郑志海, 任宏利, 黄建平.基于季节气候可预报分量的相似误差订正方法和数值试验.物理学报, 2009, 58(10):7359-7367. doi: 10.3321/j.issn:1000-3290.2009.10.114
[30]	顾伟宗, 陈丽娟, 张培群, 等.月动力延伸预报最优信息提取和对中国降水的降尺度应用.气象学报, 2009, 67(2):280-287. doi: 10.11676/qxxb2009.028
[31]	贾小龙, 陈丽娟, 李维京, 等.BP-CCA方法用于中国冬季温度和降水的可预报性研究和降尺度季节预测.气象学报, 2010, 68(3):398-410. doi: 10.11676/qxxb2010.039
[32]	覃志年, 陈丽娟, 唐红玉, 等.月尺度动力模式产品解释应用系统及预测技巧.应用气象学报, 2010, 21(5):614-620. doi: 10.11898/1001-7313.20100511
[33]	董敏.国家气候中心大气环流模式基本原理和使用说明.北京:气象出版社, 2001. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[34]	Jin X Z, Zhang X H, Zhou T J.Fundamental framework and experiments of the third generation of IAP/LASG world ocean general circulation model.Adv Atmos Sci, 1999, 16(2):197-215. doi: 10.1007/BF02973082
[35]	Ding Y H, Liu Y M, Shi X L, et al.Multi-year simulations and experimental seasonal predictions for rainy seasons in China by using a nested regional climate model (RegCM_NCC).Part Ⅱ:The experimental seasonal prediction.Adv Atmos Sci, 2006, 23(4):487-503. doi: 10.1007/s00376-006-0487-2
[36]	赵宗慈, 李清泉, 张祖强. ENSO年际变化预测模式研制//国家"九五"重中之重962908项目办公室. 短期气候预测业务动力模式的研制. 北京: 气象出版社, 2000: 323-333.
[37]	李维京. 月动力延伸预报研究进展//李维京. 动力延伸预报研究 (文集). 北京: 气象出版社, 2000.
[38]	张学洪, 赵其庚, 杨修群, 等. 海洋环流-海冰模式和海气耦合研究进展//国家"九五"重中之重962908项目办公室. 短期气候预测业务动力模式的研制. 北京: 气象出版社, 2000: 161-169.
[39]	刘益民, 李维京, 张培群. 国家气候中心全球海洋同化业务系统在热带太平洋的结果初步分析//国家"九五"重中之重962908项目办公室. 短期气候预测系统的总装与业务化试验研究. 北京: 气象出版社, 2004: 498-509.
[40]	顾震潮.天气数值预报中过去资料的使用问题.气象学报, 1958, 29:176-184. doi: 10.11676/qxxb1958.019
[41]	丑纪范.天气数值预报中使用过去资料的问题.中国科学, 1974(6):635-644. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB195803002.htm
[42]	邱崇践, 丑纪范.天气预报的相似-动力方法.大气科学, 1989, 13(1):22-28. http://cpfd.cnki.com.cn/Article/CPFDTOTAL-ZGQX201307001046.htm
[43]	黄建平, 王绍武.相似-动力模式的季节预报试验.中国科学:B辑, 1991, 21(2):216-224. http://www.cnki.com.cn/Article/CJFDTOTAL-JBXK199102013.htm
[44]	鲍名, 倪允琪, 丑纪范.相似-动力模式的月平均环流预报试验.科学通报, 2004, 49(11):1112-1115. doi: 10.3321/j.issn:0023-074X.2004.11.017
[45]	Feng Guolin, Cao Hongxing, Gao Xinquan, et al.Prediction of precipitation during summer monsoon with self-memorial model.Adv Atms Sci, 2001, 18(5):701-709.
[46]	赵俊虎, 封国林, 王启光, 等.2010年我国夏季降水异常气候成因分析及预测.大气科学, 2011, 35(6):1069-1078. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK201106008.htm
[47]	赵俊虎, 杨杰, 张世轩, 等, 2011年我国夏季降水动力统计预测与异常成因.应用气象学报, 2013, 24(1):43-54. doi: 10.11898/1001-7313.20130105
[48]	许建平.阿尔戈全球海洋观测大探秘.北京:海洋出版社, 2002. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[49]	许建平.西太平洋ARGO剖面浮标观测及其应用研究论文集.北京:海洋出版社, 2010. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[50]	许建平, 刘增宏.中国ARGO大洋观测网试验.北京:气象出版社, 2007. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[51]	张人禾, 朱江, 许建平, 等.ARGO大洋观测资料的同化及其在短期气候预测和海洋分析中的应用.大气科学, 2013, 37(2):411-424. doi: 10.3878/j.issn.1006-9895.2012.12308
[52]	Liu Y M, Zhang R H, Yin Y H, et al.The application of ARGO data to the global ocean data assimilation operational system of NCC.Acta Meteor Sinica, 2005, 19(3):355-365.
[53]	张人禾, 刘益民, 殷永红, 等.利用ARGO资料改进海洋资料同化和海洋模式中的物理过程.气象学报, 2004, 62(5):613-622. doi: 10.11676/qxxb2004.060
[54]	张人禾, 殷永红, 李清泉, 等.利用ARGO资料改进ENSO和我国夏季降水气候预测.应用气象学报, 2006, 17(5):538-547. doi: 10.11898/1001-7313.20060511
[55]	吴统文, 刘向文, 梁潇云, 等.国家气候中心短期气候预测模式系统业务化进展.应用气象学报, 2013, 24(5):533-543. doi: 10.11898/1001-7313.20130503
[56]	魏凤英, 黄嘉佑.大气环流降尺度因子在中国东部夏季降水预测中的作用.大气科学, 2010, 34(1):202-212. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK201001019.htm
[57]	Chen L J, Chen D L, Wang H J, et al.Regionalization of precipitation regimes in China.Atmos Ocean Sci Lett, 2009, 2:301-307. doi: 10.1080/16742834.2009.11446818
[58]	顾伟宗, 陈丽娟, 李维京, 等.降尺度方法在中国不同区域夏季降水预测中的应用.气象学报, 2012, 70(2):202-212. doi: 10.11676/qxxb2012.020
[59]	Liu Y, Fan K.Prediction of spring precipitation in China using a downscaling approach.Meteorol Atmos Phys, 2012, 118:63-79.
[60]	Kang H W, An K, Park C.Multimodel output statistical downscaling prediction of precipitation in the Philippines and Thailand.Geophys Res Lett, 2007, 34:L15710, doi: 10.1029/2007GL0307030.
[61]	郭彦, 李建平.一种分离时间尺度的统计降尺度模型的建立和应用-以华北汛期降水为例.大气科学, 2012, 36(2):385-396. doi: 10.3878/j.issn.1006-9895.2011.11045
[62]	Ke Z J, Zhang P Q, Chen L J, et al.An experiment of a statistical downscaling forecast model for summer precipitation over China.Atmos Ocean Sci Lett, 2011, 4:270-275. doi: 10.1080/16742834.2011.11446941
[63]	康红文, 祝从文, 左志燕, 等.多模式集合预报及其降尺度技术在东亚夏季降水预测中的应用.气象学报, 2012, 70(2):192-201. doi: 10.11676/qxxb2012.019
[64]	刘绿柳, 孙林海, 廖要明, 等.基于DERF的SD方法预测月降水和极端降水日数.应用气象学报, 2011, 22(1):77-85. doi: 10.11898/1001-7313.20110108
[65]	丁一汇.季节气候预测的进展和前景.气象科技进展, 2011, 1(3):15-27. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKZ201103005.htm
[66]	Atger F.The skill of ensemble prediction systems.Mon Wea Rev, 1988, 127:1941-1953. doi: 10.1175/1520-0493(1999)127%3C1941%3ATSOEPS%3E2.0.CO%3B2
[67]	Ebert E E.Ability of a Poor Man's ensemble to predict the probability and distribution of precipitation.Mon Wea Rev, 2001, 129:2461-2480. doi: 10.1175/1520-0493(2001)129<2461:AOAPMS>2.0.CO;2
[68]	Krishnamurti T N, Kishtawal C M, LaRow T, et al.Improved skills for weather and seasonal climate forecasts from multimodel superensemble.Science, 1999, 285:1548-1550. doi: 10.1126/science.285.5433.1548
[69]	Kharin V V, Zwiers F W.Climate predictions with multimodel ensembles.J Climate, 2002, 15:793-799. doi: 10.1175/1520-0442(2002)015<0793:CPWME>2.0.CO;2
[70]	Ke Z J, Dong W J, Zhang P Q, et al.An analysis of the difference between the multiple linear regression approach and the multimodel ensemble mean.Adv Atmos Sci, 2009, 26:1157-1168. doi: 10.1007/s00376-009-8024-8
[71]	Brankovic C C, Palmer T N.Seasonal skill and predictability of ECMWF PROVOST ensembles.Quarterly Journal of the Royal Meteorological Society, 2000, 126(567):2035-2067. doi: 10.1256/smsqj.56703
[72]	Shukla J, and Coauthors.Dynamical seasonal prediction.Bull Amer Meteor Soc, 2000, 81:2593-2606. doi: 10.1175/1520-0477(2000)081<2593:DSP>2.3.CO;2
[73]	Palmer T, Andersen U, Cantelaube P, et al.Development of a European multi-model ensemble system for seasonal to inter-annual prediction (DEMETER).Bull Amer Meteor Soc, 2002, 85(6):853-872.
[74]	Hagedorn R, Doblas-Reyes F J, Palmer T N.The rationale behind the success of multi-model ensembles in seasonal forecasting—I.Basic concept.Tellus, 2005, 57:219-233. https://www.researchgate.net/profile/Renate_Hagedorn/publication/227601079_The_rationale_behind_the_success_of_multi-_model_ensembles_in_seasonal_forecasting_-_I._Basic_concept._Tellus_A57219-233/links/0c96051793720d87ee000000.pdf
[75]	Stephenson D B, Coelho C A S, Doblas-reyes FJ, et al.Forecast assimilation:A unified framework for the combination of multi-model weather and climate predictions.Tellus, 2005, 57(3):253-264. doi: 10.3402/tellusa.v57i3.14664
[76]	Wang B, Lee June-Yi, Kang In-Sik, et al.Advance and prospectus of seasonal prediction:Assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980—2004).Climate Dynamics, 2009, 33(1):93-117. doi: 10.1007/s00382-008-0460-0
[77]	李芳.基于多模式集合方案的中国东部夏季降水概率季度预测.气象学报, 2012, 70(2):183-191. doi: 10.11676/qxxb2012.018
[78]	张刚.欧洲多个耦合气候模式对东亚冬季气候预测的性能研究.气象学报, 2012, 70(4):690-703. doi: 10.11676/qxxb2012.056
[79]	刘长征, 柯宗建, 陈丽娟, 等.多模式集合和降尺度问题.应用气象学报, 2013, 24(6):677-685. doi: 10.11898/1001-7313.20130604
[80]	封国林, 赵俊虎, 支蓉, 等.动力-统计客观定量化汛期降水预测研究新进展.应用气象学报, 2013, 24(6):656-665. doi: 10.11898/1001-7313.20130602
[81]	Waliser Duane, Klaus Weickmann, Randall Dole, et al.The Experimental MJO Prediction Project.BAMS, 2006:425-431.
[82]	何金海, Murakamit T, Nakazawa T.1979年夏季亚洲季风区域40-50天周期振荡的环流及水汽输送场变化.南京气象学院学报, 1984, 2(2):163-175. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX198402003.htm
[83]	李崇银.华北地区汛期降水的一个分析研究.气象学报, 1992, 50(1):41-49. doi: 10.11676/qxxb1992.005
[84]	史学丽, 丁一汇.1994年中国华南大范围暴雨过程的形成与夏季风活动的研究.气象学报, 2000, 58(6):666-678. doi: 10.11676/qxxb2000.068
[85]	踞建华, 赵尔旭.东亚夏季风区的低频振荡对长江中下游旱涝的影响.热带气象学报, 2005, 21(2):163-171. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200502006.htm
[86]	黄静, 朱乾根.与长江流域旱涝相联系的全球低频环流场.热带气象学报, 1997, 13(2):146-157. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX702.006.htm
[87]	Wheeler M C, Hendon H H.An all-season real-time multivariate MJO Index:Development of an index for monitoring and prediction.Mon Wea Rev, 2004, 132:1917-1932. doi: 10.1175/1520-0493(2004)132<1917:AARMMI>2.0.CO;2
[88]	贾小龙, 袁媛, 任福民, 等.热带大气季节内振荡 (MJO) 的实时监测预测业务.气象, 2012, 38(4):457-463. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201204007.htm
[89]	Jia X L, Chen L J, Ren F M, et al.Impacts of the MJO on winter rainfall and circulation in China.Adv Atmos Sci, 2011, 28(3):521-533. doi: 10.1007/s00376-010-9118-z
[90]	贾小龙, 梁潇云.热带MJO对2009年11月我国东部大范围雨雪天气的可能影响.热带气象学报, 2011, 27(5):639-648. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX201105005.htm
[91]	孙国武, 孔春燕, 信飞, 等.天气关键区大气低频波延伸期预报方法.高原气象, 2011, 30(3):594-599. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX201103005.htm
[92]	梁萍, 丁一汇.基于季节内振荡的延伸预报试验.大气科学, 2012, 36(1):102-116. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK201201009.htm
[93]	Huang R H, Wu Y F.The influence of ENSO on the summer climate change in China and its mechanism.Adv Atmos Sci, 1989, 6(1):21-30. doi: 10.1007/BF02656915
[94]	高辉, 王永光.ENSO对中国夏季降水可预测性变化的研究.气象学报, 2007, 65(1):131-137. doi: 10.11676/qxxb2007.013
[95]	Feng Juan, Chen Wen, Tam C Y, et al.Different impacts of El Nio and El Nio Modoki on China rainfall in the decaying phases.Int J Climatol, 2011, 31:2091-2101, doi: 10.1002/joc.2217.
[96]	Saji N H, Goswami B N, Vinayachandr P N, et al.A dipole in the tropical Indian Ocean.Nature, 1999, 401:360-363. http://www.nature.com/nature/journal/v401/n6751/full/401360a0.html
[97]	罗绍华, 金祖辉, 陈烈庭.印度洋和南海海温与长江中下游夏季降水的相关分析.大气科学, 1985, 9(3):314-320. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK198503012.htm
[98]	肖子牛, 晏红明, 李崇银.印度洋地区异常海温的偶极振荡与中国降水及温度的关系.热带气象学报, 2002, 18(4):335-344. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200204005.htm
[99]	琚建华, 陈琳玲, 李崇银.太平洋-印度洋海温异常模态及其指数定义的初步研究.热带气象学报, 2004, 20(6):617-624. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200406000.htm
[100]	杨辉, 李崇银.热带太平洋-印度洋海温异常综合模对南亚高压的影响.大气科学, 2005, 29(1):99-110. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200501011.htm
[101]	贾小龙, 李崇银.南印度洋海温偶极子型振荡及其气候影响.地球物理学报, 2005, 48(6):1238-1249. http://www.cnki.com.cn/Article/CJFDTOTAL-DQWX200506003.htm
[102]	杨明珠, 丁一汇.中国夏季降水对南印度洋偶极子的响应研究.大气科学, 2007, 31(4):685-694. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200704012.htm
[103]	贾小龙, 陈丽娟, 龚振淞, 等.2010年海洋和大气环流异常及对中国气候的影响.气象, 2011, 37(4):446-453. doi: 10.7519/j.issn.1000-0526.2011.04.008
[104]	Wu Z, Wang B, Li J, et al.An empirical seasonal prediction model of the East Asian summer monsoon using ENSO and NAO.J Geophys Res, 2009, 114, D18120, doi: 10.1029/2009JD011733.
[105]	Zuo J Q, Li W J, Sun C H, et al.Impact of the North Atlantic sea surface temperature tripole on the East Asian summer monsoon.Adv Atmos Sci, 2013, 30(4):1173-1186. doi: 10.1007/s00376-012-2125-5
[106]	Gu W, Li C Y, Wang X, et al.Linkage between Mei-yu precipitation and North Atlantic SST on the decadal timescale.Adv Atmos Sci, 2009, 26(1):101-108. doi: 10.1007/s00376-009-0101-5
[107]	周天军, 宇如聪, 郜永琪, 等.北大西洋年际变率的海气耦合模式模拟Ⅰ:局地海气相互作用.气象学报, 2006, 64(1):1-17. doi: 10.11676/qxxb2006.001
[108]	肖莺, 张祖强, 何金海.印度洋偶极子研究进展综述.热带气象学报, 2009, 25(5):621-627. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200905014.htm
[109]	Wu B Y, Su J Z, Zhang R H.Effects of autumn-winter Arctic sea ice on winter Siberian high.Chinese Sci Bull, 2011, 56, doi: 10.1007/s11434-011-4696-4.
[110]	Zhao P, Zhang X, Zhou X J, et al.Sea-ice extent anomaly in the North Pacific and impact on the East Asian summer monsoon rainfall.J Climate, 2004, 17:3434-3447. doi: 10.1175/1520-0442(2004)017<3434:TSIEAI>2.0.CO;2
[111]	朱玉祥, 丁一汇.青藏高原积雪对气候影响的研究进展和问题.气象科技, 2007, 35(1):1-8. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ200701000.htm
[112]	李栋梁, 王春学.积雪分布及其对中国气候影响的研究进展.大气科学学报, 2011, 34(5):627-636. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX201105014.htm
[113]	陈烈庭, 阎志新. 青藏高原冬春季积雪对大气环流和我国南方汛期降水的影响//中长期水文气象预报文集 (第一集), 北京: 水利电力出版社, 1979: 145-148.
[114]	陈丽娟, 吕世华, 罗四维.青藏高原春季积雪异常对亚洲季风降水影响的数值试验.高原气象, 1996, 15(1):124-130. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX601.014.htm
[115]	陈烈庭.青藏高原冬春季异常雪盖与江南前汛期降水关系的检验和应用.应用气象学报, 1998, 9(增刊):1-8. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX8S1.000.htm
[116]	韦志刚, 罗四维, 董文杰, 等.青藏高原积雪资料分析及其与我国夏季降水的关系.应用气象学报, 1998, 9(1):39-46. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX8S1.005.htm
[117]	张顺利, 陶诗言.青藏高原积雪对亚洲夏季风影响的诊断及数值研究.大气科学, 2000, 25(3):372-390. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200103008.htm
[118]	Wu Zhiwei, Li Jianping, Jiang Zhihong, et al.Modulation of the Tibetan Plateau snow cover on the ENSO teleconnections:From the East Asian summer monsoon perspective.J Climate, 2012, 25:2481-2489. doi: 10.1175/JCLI-D-11-00135.1
[119]	赵溱.欧亚大陆雪盖与东亚夏季风.气象, 1984, 10(7):27-29. doi: 10.7519/j.issn.1000-0526.1984.07.006
[120]	Yang Song, Xu Lizhang.Linkage between Eurasian winter snow cover and regional Chinese summer rainfall.International Journal of Climatology, 1994, 14:739-750. doi: 10.1002/(ISSN)1097-0088
[121]	陈兴芳, 宋文玲.欧亚和青藏高原冬春积雪与我国夏季降水关系的分析和预测应用.高原气象, 2000, 19(2):215-223. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX200002010.htm
[122]	穆松宁, 周广庆.冬季欧亚大陆北部新增雪盖面积变化与中国夏季气候异常的关系.大气科学, 2010, 34(1):213-226. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK201001020.htm
[123]	陈兴芳, 宋文玲.冬季高原积雪和欧亚积雪对我国夏季旱涝不同影响关系的环流特征分析.大气科学, 2000, 24(5):585-592. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200005001.htm
[124]	彭京备, 陈烈庭, 张庆云.青藏高原异常雪盖和ENSO的多尺度变化及其与中国夏季降水的关系.高原气象, 2005, 24(3):366-377. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX200503013.htm
[125]	许立言, 武炳义.欧亚大陆春季融雪量与东亚夏季风的可能联系.大气科学, 2012, 36(6):1180-1190. doi: 10.3878/j.issn.1006-9895.2012.12001
[126]	李曾中, 李月安, 晁淑懿.越赤道气流与我国洪涝灾害关系的初探.应用气象学报, 1998, 9(增刊):132-136. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX8S1.016.htm
[127]	王会军, 薛峰.索马里急流的年际变化及其对半球间水汽输送和东亚夏季降水的影响.地球物理学报, 2003, 46(1):18-25. http://www.cnki.com.cn/Article/CJFDTOTAL-DQWX200301002.htm
[128]	周顺武, 假拉.印度季风的年际变化与高原夏季旱涝.高原气象, 2003, 22(4):410-415. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX200304016.htm
[129]	李崇银, 吴静波.索马里跨赤道气流对南海夏季风爆发的重要作用.大气科学, 2002, 26(2):185-192. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200202003.htm
[130]	高辉, 薛峰.越赤道气流的季节变化及其对南海夏季风爆发的影响.气候与环境研究, 2006, 11(1):57-68. http://www.cnki.com.cn/Article/CJFDTOTAL-QHYH200601004.htm
[131]	王绍武, 赵宗慈.长期天气预报基础.上海:上海科学技术出版社, 1987:116-130. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm
[132]	陈国珍, 肖红, 杨义文, 等. 南半球极涡与北半球大气环流的关系及其对我国夏季降水影响//章基嘉. 长期天气预报论文集. 北京: 海洋出版社, 1992: 69-77.
[133]	吴仁广, 陈烈庭.长江中下游地区梅雨期降水与全球500 hPa环流的关系.大气科学, 1994, 18:691-700. doi: 10.3878/j.issn.1006-9895.1994.06.06
[134]	薛峰, 王会军, 何金海.马斯克林高压和澳大利亚高压的年际变化及其对东亚夏季风降水的影响.科学通报, 2003, 48(3):287-291. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB200303017.htm
[135]	高辉, 薛峰, 王会军.南极涛动年际变化对江淮梅雨的影响及预报意义.科学通报, 2003, 48(增刊):87-92. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB2003S2015.htm
[136]	Nan S L, Li J P.The relationship between the summer precipitation in the Yangtze River valley and the boreal springSouthern Hemisphere annular mode.Geophys Res Lett, 2003, 30(24):2266, doi: 10.1029/2003GL018381.
[137]	范可, 王会军.南极涛动异常与2006年我国东部夏季降水形势预测.应用气象学报, 2006, 17(3):383-384. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060365&flag=1
[138]	Fan K, Wang H J, Choi Y J.A physically-based statistical forecast model for the middle-lower reaches of the Yangtze River Valley summer rainfall.Chin Sci Bull, 2008, 53:602-609. doi: 10.1007/s11434-008-0083-1
[139]	Wu Zhiwei, Li Jianping, Wang Bin, et al.Can the Southern Hemisphere annular mode affect China winter monsoon?J Geophys Res, 2009, 114:D11107, doi: 10.1029/2008JD011501.
[140]	南素兰, 李建平.春季南半球环状模与长江流域夏季降水的关系Ⅰ.基本事实.气象学报, 2005, 63(6):837-846. doi: 10.11676/qxxb2005.080
[141]	南素兰, 李建平.春季南半球环状模与长江流域夏季降水的关系Ⅱ.印度洋、南海海温的"海洋桥"作用.气象学报, 2005, 63(6):847-856. doi: 10.11676/qxxb2005.081
[142]	范可, 王会军.异常弱的南极涛动和2006年我国春季沙尘气候形势.气候与环境研究, 2007, 12(4):475-480. http://www.cnki.com.cn/Article/CJFDTOTAL-QHYH200704002.htm
[143]	李维京.现代气候业务.北京:气象出版社, 2012. http://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201603027.htm