黄淮地区夏季降水异常成因及降尺度预测方法研究
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摘要
黄淮区域地处我国南方雨量丰沛和北方干旱少雨的过渡地带,气候异常成因复杂,预测准确率较低。本文利用400个资料较为完整、分布均匀的站点降水资料,利用REOF技术,将中国降水分成13个区。选择定义的黄淮地区夏季降水为研究对象,分析了在厄尔尼诺和拉尼娜背景下该区域夏季降水异常的成因、外强迫因子及其影响机制。在此基础上,研发动力与统计相结合的降尺度解释应用预测方法,并分析了该方法在以黄淮地区为主的区域气候预报能力。主要结论如下：
(1)根据夏季降水资料,将全国划分为13个区域,这种分区结果使得对全国(尤其是中西部地区)的分区更加清晰和完整。其中将(30°N-36.5°N,105°E-125°E)的区域定义为黄淮地区,包括山西南部、陕西南部、河南、山东大部、江苏、安徽、湖北北部等地区,作为本文的分析和预报对象。
(2)厄尔尼诺背景下,黄淮地区夏季降水偏多时,黄淮地区上空存在北风和西南风的切变,副高偏强,影响黄淮地区夏季降水的海温关键区主要位于热带印度洋和西太平洋区域、亲潮区域和北大西洋中部区域；拉尼娜背景下,黄淮地区夏季降水偏多时,东亚夏季风偏强,极涡偏强,副高偏弱,影响黄淮地区夏季降水的海温关键区主要位于南印度洋、北赤道流和大西洋赤道附近。在厄尔尼诺背景下,热带印度洋海温的全区一致型往往导致黄淮地区夏季降水偏多,在拉尼娜背景下,南印度洋海温的负偶极子型往往导致黄淮区域夏季降水偏多。
(3)当赤道中东太平洋处于厄尔尼诺背景时,热带印度洋海温偏高(低)时,南亚高压偏强(弱),500hPa副热带高压偏强(弱),副高西北侧向黄淮地区输送水汽偏多(少),黄淮地区降水偏多(少)。当赤道中东太平洋处于拉尼娜背景时,前期冬季副热带印度洋海温呈负偶极子模态时,夏季印度洋海盆海温以偏低为主,南半球印度洋上空出现反气旋式环流,阿拉伯海及孟加拉湾上空也出现反气旋式环流,东亚夏季风偏强,水汽大值区流经黄淮地区上空,黄淮地区降水偏多；当前期冬季副热带印度洋海温为正偶极子时,夏季印度洋海盆海温以偏高为主,印度洋上空气旋式环流,105。E越赤道气流偏强,使得中国东部及近海上空出现气旋式环流,副热带高压明显偏东,水汽大值区流经中国东部近海上空,黄淮地区降水偏少。
(4)利用国家气候中心研发的第一代海气耦合模式回算的夏季环流场,结合NCEP/NCAR再分析资料,研发降尺度解释应用方法。交叉检验结果表明：基于模式高技巧信息的解释应用方法能够明显地提高季节降水预测准确率,并且模式输出的要素技巧在很大程度上影响了解释应用的预测能力。该方法对黄淮地区预测准确率仅达到62.5%。
(5)利用国家气候中心新开发的第二代海陆气冰气候系统模式回报的环流场,筛选出对黄淮地区夏季降水有明确物理意义并且能够被模式模拟出的同期环流因子,利用最优子集回归作为转换函数,去除长期变化趋势分量,建立动力与统计相结合的降尺度预测模型,该模型对黄淮地区夏季降水的趋势预测准确率达到75-85%。发展动力与统计相结合的降尺度预测方法,对提高区域降水的预测能力有一定的可行性。
Huanghuai area lies in the transition band of plentiful rainfall area and arid area. Cause of climate anomaly is complicated. Accuracy rate of summer rainfall prediction is low. In this paper, using400stations rainfall data, evenly distributed all over China, using orthogonal REOF technology, the rainfall in China is divided into13areas. The summer precipitation in Huang Huai area is selected as the research object.Under the background of El Nino and La Nina, the cause of the regional summer precipitation anomaly, external forcing and its influence mechanism are studied. Based on the detrended data, a downscaling interpretation and application prediction method is developed. The main results of this research can be summarrized in the following items:
(l)The result of13regions division makes the partition results in the Midwest division more clear and complete. Huanghuai area include The area (30°N-36.5°N,105°E-125°E) is defined as Huanghuai,including suoth of Shanxi, Henan, Shandong, Jiangsu, Anhui, North of Hubei. It is the studying object in this paper.
(2)Under the background of El Nino, when the precipitation is more in Huanghuai Area, shear line between North and Southwest wind appears on the Huanghuai Area. The Subtropical High is stronger.The key areas which influence summer precipitation in Huanghuai area mainly locate in tropical India ocean and the Western Pacific region, the Oyashio region, the central North Atlantic region. Under the background of La Nina, when the precipitation is more in Huanghuai Area, the EASM and polar vortex are stronger,the Subtropical High is weaker. The key areas which influence summer precipitation in Huanghuai area mainly locate in Southern India Ocean, near the North Equatorial current and equatorial the Atlantic. Accordance in the tropical India ocean SST will make the precipitation in Huanghuai Area more under the background of El Nino. But the negative dipole in Southern India Ocean will make the precipitation in Huanghuai Area more under the background of La Nina.
(3) Under the background of El Nino, warmer(colder) SST in tropical India Ocean, result in stronger (weaker) South Asia High and Subtropical High.Thus the water vapor transportation along the northwest side of Subtropical High is more (less) and the precipitation in Huanghuai Area is more(less). Under the background of La Nina, if negative dipole mode in subtropical India Ocean in early winter appeared, SST in India Ocean wuold be low by the summer. Anticyclone would be over the southern hemisphere India Ocean and the bay of Bengal, Arabia Sea. The stronger East Asian summer Monsoon led to more precipitation in Huanghuai area. If positive dipole mode in subtropical India Ocean in early winter appeared, SST in India Ocean wuold be high by the summer. Cyclone would be over the southern hemisphere India Ocean. The stronger East Asian summer Monsoon led to more precipitation in Huanghuai area. The stronger cross-equator flow near105°E led to cyclonic circulation on the East of China. Subtropical High was easterly. The precipitation was less in Huanghuai Area.
(4) Based on the hindcast data of the second generation Coupled-Ocean General Climate Model of National Climate Center, the historical reanalysis data, a downscling method is developed. One-year out cross-validation tests indicate that the downscaling method is applicable in the prediction of summer precipitation anomaly across most of China with high and stable accuracy,and is much better than the direct CGCM/NCC prediction. The forecast accuracy to the precipitation in Northern Xinjiang, Southern Xinjiang, Qinghai, Tibet, North China, Southeast Coast, the Yangtze River and Guangxi region exceed67%. But in Huanghuai Area the forecast accuracy is only62.5%.
(5)Based on the hindcast data of the second generation Coupled-Ocean General Climate Model of National Climate Center, the historical reanalysis data, the Corresponding Period circulation factors, which have physical meaning to the precipitation in Huanghuai Area in Summer and can be simulated by the Model,will be selected. The trendancy of the factors and the predictand will be eliminated. A downscaling method is developed. The forecast accuracy of this method to the precipitation in Huanghuai Area in Summer can reach75-85%. It is feasible to improve the ability to prediction of regional precipitation to research and develop downscaling method in the future.
(1)根据夏季降水资料,将全国划分为13个区域,这种分区结果使得对全国(尤其是中西部地区)的分区更加清晰和完整。其中将(30°N-36.5°N,105°E-125°E)的区域定义为黄淮地区,包括山西南部、陕西南部、河南、山东大部、江苏、安徽、湖北北部等地区,作为本文的分析和预报对象。
(2)厄尔尼诺背景下,黄淮地区夏季降水偏多时,黄淮地区上空存在北风和西南风的切变,副高偏强,影响黄淮地区夏季降水的海温关键区主要位于热带印度洋和西太平洋区域、亲潮区域和北大西洋中部区域；拉尼娜背景下,黄淮地区夏季降水偏多时,东亚夏季风偏强,极涡偏强,副高偏弱,影响黄淮地区夏季降水的海温关键区主要位于南印度洋、北赤道流和大西洋赤道附近。在厄尔尼诺背景下,热带印度洋海温的全区一致型往往导致黄淮地区夏季降水偏多,在拉尼娜背景下,南印度洋海温的负偶极子型往往导致黄淮区域夏季降水偏多。
(3)当赤道中东太平洋处于厄尔尼诺背景时,热带印度洋海温偏高(低)时,南亚高压偏强(弱),500hPa副热带高压偏强(弱),副高西北侧向黄淮地区输送水汽偏多(少),黄淮地区降水偏多(少)。当赤道中东太平洋处于拉尼娜背景时,前期冬季副热带印度洋海温呈负偶极子模态时,夏季印度洋海盆海温以偏低为主,南半球印度洋上空出现反气旋式环流,阿拉伯海及孟加拉湾上空也出现反气旋式环流,东亚夏季风偏强,水汽大值区流经黄淮地区上空,黄淮地区降水偏多；当前期冬季副热带印度洋海温为正偶极子时,夏季印度洋海盆海温以偏高为主,印度洋上空气旋式环流,105。E越赤道气流偏强,使得中国东部及近海上空出现气旋式环流,副热带高压明显偏东,水汽大值区流经中国东部近海上空,黄淮地区降水偏少。
(4)利用国家气候中心研发的第一代海气耦合模式回算的夏季环流场,结合NCEP/NCAR再分析资料,研发降尺度解释应用方法。交叉检验结果表明：基于模式高技巧信息的解释应用方法能够明显地提高季节降水预测准确率,并且模式输出的要素技巧在很大程度上影响了解释应用的预测能力。该方法对黄淮地区预测准确率仅达到62.5%。
(5)利用国家气候中心新开发的第二代海陆气冰气候系统模式回报的环流场,筛选出对黄淮地区夏季降水有明确物理意义并且能够被模式模拟出的同期环流因子,利用最优子集回归作为转换函数,去除长期变化趋势分量,建立动力与统计相结合的降尺度预测模型,该模型对黄淮地区夏季降水的趋势预测准确率达到75-85%。发展动力与统计相结合的降尺度预测方法,对提高区域降水的预测能力有一定的可行性。
Huanghuai area lies in the transition band of plentiful rainfall area and arid area. Cause of climate anomaly is complicated. Accuracy rate of summer rainfall prediction is low. In this paper, using400stations rainfall data, evenly distributed all over China, using orthogonal REOF technology, the rainfall in China is divided into13areas. The summer precipitation in Huang Huai area is selected as the research object.Under the background of El Nino and La Nina, the cause of the regional summer precipitation anomaly, external forcing and its influence mechanism are studied. Based on the detrended data, a downscaling interpretation and application prediction method is developed. The main results of this research can be summarrized in the following items:
(l)The result of13regions division makes the partition results in the Midwest division more clear and complete. Huanghuai area include The area (30°N-36.5°N,105°E-125°E) is defined as Huanghuai,including suoth of Shanxi, Henan, Shandong, Jiangsu, Anhui, North of Hubei. It is the studying object in this paper.
(2)Under the background of El Nino, when the precipitation is more in Huanghuai Area, shear line between North and Southwest wind appears on the Huanghuai Area. The Subtropical High is stronger.The key areas which influence summer precipitation in Huanghuai area mainly locate in tropical India ocean and the Western Pacific region, the Oyashio region, the central North Atlantic region. Under the background of La Nina, when the precipitation is more in Huanghuai Area, the EASM and polar vortex are stronger,the Subtropical High is weaker. The key areas which influence summer precipitation in Huanghuai area mainly locate in Southern India Ocean, near the North Equatorial current and equatorial the Atlantic. Accordance in the tropical India ocean SST will make the precipitation in Huanghuai Area more under the background of El Nino. But the negative dipole in Southern India Ocean will make the precipitation in Huanghuai Area more under the background of La Nina.
(3) Under the background of El Nino, warmer(colder) SST in tropical India Ocean, result in stronger (weaker) South Asia High and Subtropical High.Thus the water vapor transportation along the northwest side of Subtropical High is more (less) and the precipitation in Huanghuai Area is more(less). Under the background of La Nina, if negative dipole mode in subtropical India Ocean in early winter appeared, SST in India Ocean wuold be low by the summer. Anticyclone would be over the southern hemisphere India Ocean and the bay of Bengal, Arabia Sea. The stronger East Asian summer Monsoon led to more precipitation in Huanghuai area. If positive dipole mode in subtropical India Ocean in early winter appeared, SST in India Ocean wuold be high by the summer. Cyclone would be over the southern hemisphere India Ocean. The stronger East Asian summer Monsoon led to more precipitation in Huanghuai area. The stronger cross-equator flow near105°E led to cyclonic circulation on the East of China. Subtropical High was easterly. The precipitation was less in Huanghuai Area.
(4) Based on the hindcast data of the second generation Coupled-Ocean General Climate Model of National Climate Center, the historical reanalysis data, a downscling method is developed. One-year out cross-validation tests indicate that the downscaling method is applicable in the prediction of summer precipitation anomaly across most of China with high and stable accuracy,and is much better than the direct CGCM/NCC prediction. The forecast accuracy to the precipitation in Northern Xinjiang, Southern Xinjiang, Qinghai, Tibet, North China, Southeast Coast, the Yangtze River and Guangxi region exceed67%. But in Huanghuai Area the forecast accuracy is only62.5%.
(5)Based on the hindcast data of the second generation Coupled-Ocean General Climate Model of National Climate Center, the historical reanalysis data, the Corresponding Period circulation factors, which have physical meaning to the precipitation in Huanghuai Area in Summer and can be simulated by the Model,will be selected. The trendancy of the factors and the predictand will be eliminated. A downscaling method is developed. The forecast accuracy of this method to the precipitation in Huanghuai Area in Summer can reach75-85%. It is feasible to improve the ability to prediction of regional precipitation to research and develop downscaling method in the future.
引文
蔡怡,张建华,于卫东.2005.赤道太平洋-印度洋海洋上层海温分析.热带海洋学报,24(4)：60-66.
巢纪平,巢清尘,刘琳.2005.热带太平洋ENSO事件和印度洋的DIPOLE事件.气象学报,63(05)：594-602.
巢纪平,袁绍宇,蔡怡.2003.热带印度洋的大尺度海气相互作用事件.气象学报,61(2)：251-256.
蔡学湛.2001.青藏高原雪盖与东亚季风异常对华南前汛期降水的影响.应用气象学报,12(3)：358-367.
陈桂英,赵振国.1998.短期气候预测评估方法和业务初评.应用气象学报,9(2)：178-185.
陈丽娟,李维京,张培群等.2003.降尺度技术在月降水预报业务中的应用.应用气象学报,14(6)：648-655.
陈烈庭.1988.热带印度洋-太平洋海温纬向异常及其对亚洲夏季风的影响.大气科学,特刊：142-148.
陈烈庭,吴仁广.1994.中国东部的降水区划及各区旱涝变化的特征,大气科学,18：586-595.
陈烈庭.1998.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, 增刊：1-7.
陈绍东,王谦谦,钱永甫.2003.江南汛期降水基本气候特征及其与海温异常关系初探.热带气象学报,19：260-268.
陈永仁,李跃清,齐冬梅.2011.南亚高压和西太平洋副热带高压的变化及其与降水的联系.高原气象,30(5)：1148-1157.
陈兴芳,宋文玲.2000.欧亚和青藏高原冬春季积雪与我国夏季降水关系的分析和预测应用.高原气象,19(2)：214-223.
陈兴芳,宋文玲.2000.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,24(5)：585-592.
邓立平,王谦谦.2002.华南前汛期(4-6月)降水异常特征及其与我国近海海温的关系.热带气象学报,18(2)：45-55.
丁一汇,李清泉,李维京等.2004.中国业务动力季节预报的进展.气象学报,62(5)：598-612
丁一汇,张雁,马强等.19991.998年夏淮河流域试验加密观测期间主要天气形势特点及其重要观测成果.见：赵柏林,丁一汇编.淮河流域能量与水分循环研究(一).北京：气象出版社.
董敏,吴统文,王在志,等.2009.北京气候中心大气环流模式对季节内振荡的模拟.气象学报,67(6)：912-922.
董敏,吴统文,王在志,等.2013BCC_CSM1.0模式对20世纪降水及其变率的模拟.应用气象学报,24(1)：1-11.
高辉,王永光.2007.ENSO对中国夏季降水可预测性变化的研究.气象学报,65(1)：131-137.
黄荣辉,孙凤英.热带西太平洋暖池上空对流活动对东亚夏季风季节内变化的影响.大气科学,18(2)：141-152.
黄荣辉,吴仪芳.1992.关于ENSO循环动力学的研究.海洋环流研讨会论文选集.北京：海洋出版社.
贾小龙,陈丽娟,李维京,等,2010.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,68(3)：398-410.
贾小龙,李崇银.2005.南印度洋海温偶极子型振荡及其气候影响.地球物理学报,48(6)：1238-1249.
金祖辉,陶诗言.1999ENSO循环与中国东部地区夏季和冬季降水关系的研究.大气科学,23(6)：663-672.
李崇银.2000.气候动力学引论.北京：气象出版社.
李崇银,穆明权,潘静.2001.印度洋海温偶极子和太平洋海温异常.科学通报,46(20)1747-1751.
李崇银,穆明权.2001.赤道印度洋海温偶极子型振荡及其气候影响.大气科学,25(4)433-443.
李清泉,丁一汇,张培群.2004.一个全球海-气耦合模式跨季度汛期预测能力的初步检验和评估.气象学报,62(6)：740-751.
李维京,陈丽娟.1999.动力延伸产品释用方法研究.气象学报.57(3)：338-345.
李维京,张培群,李清泉等.2005.动力气候模式预测系统业务化及其应用.应用气象学报,16(Appl.)：1-11.
李维京.1998.1998年大气环流异常及其对中国气候异常的影响.气象.25(4)：20-25.
梁肇宁,温之平,吴丽姬.2006.印度洋海温异常和南海夏季风建立迟早的关系I.耦合分析.大气科学,30(4)：619-634.
刘梅,胡洛林,张备等.2008.梅汛期100 hPa南亚高压特征与江苏梅雨关系研究.热带气象学报,24(3)：284-293.
罗绍华,金祖辉,陈烈庭.1985.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,9(3)：314-320.
南素兰,李建平.2005.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,63(6)：837-846.
南素兰,李建平.2005.春季南半球环状模与长江流域夏季降水的关系：Ⅱ印度洋和南海海温的“海洋桥”作用.气象学报,63(6)：847-856.
倪东鸿,孙照渤,陈海山等.2004.夏季黑潮区域SSTA及其与中国夏季降水的联系.南京气象学院学报,27(3)：310-316.
钱维宏,陆波.2010.我国汛期季度降水预报得分和预报技巧.气象,36(10)：1-7.
秦爱民,钱维宏,蔡亲波.2005.1960-2000年中国不同季节的气温分区及趋势,气象科学,25(3)：338-345.
秦爱民,钱维宏.2006.近41年中国不同季节降水气候分区及趋势,高原气象,25(4)：495-502.
任宏利,张培群,丑纪范,等.2005.中国夏季大尺度低频雨型及其转换模,科学通报,50(6)： 2790-2799.
容新尧,张人禾,LI Tim.2010.大西洋海温异常在ENSO影响印度-东亚夏季风中的作用.科学通报,55(14)：1397-1408.
施能.气象科研与预报中的分析方法[M].北京：气象出版社.
施能,顾俊强,封国林.2007.论带有趋势变化的变量的相关：数值试验[J].数学的实践与认识.37(8)：98-103.
孙林海,赵振国,许力,等.2005.中国东部季风区夏季雨型的划分及其环流成因分析,应用气象学报,16(3)：56-62.
孙淑清,马淑洁.2003.海温异常对东亚夏季风及长江流域降水影响的分析和数值试验.大气科学,27(1)：36-52.
陶玫,蒋薇,项瑛等.2012.1998年和2010年长江流域汛期洪涝成因对比分析.气象科学.32(3)：282-287.
陶诗言,朱福康.1964.夏季亚洲南部100hPa流型的变化及其与副热带高压进退的关系,气象学报,34(4)：385-395.
韦志刚,罗四维,董文杰.1998.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,9(增刊)：39-46.
王绍武,龚道溢.1999.近百年来的ENSO事件及其强度.气象,25(1)：9-14.
王叶红,王谦谦,赵玉春.1999.长江中下游降水异常特征及其与全国降水和气候异常的关系.南京气象学院学报,22(6)：685-691.
魏凤英.2011.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,22(1)：1-11.
魏凤英.2007.现代气候统计诊断与预测技术(第2版).北京：气象出版社,
吴国雄,孙凤英,王敬方,等.1995.降水对热带海表温度异常的邻域响应.II资料分析.大气科学,19(6)：664-676.
吴国雄,刘平,刘屹岷,等.2000.印度洋海温异常对西太平洋副热带高压的影响——大气中的两级热力适应.气象学报,58(5)：513-522.
吴洪宝,吴蕾.2005.气候变率诊断和预测方法.气象出版社.
吴统文,钱正安.2000.青藏高原冬春积雪异常与中国东部地区夏季降水关系的进一步分析.气象学报.58(5)：570-581.
肖子牛,晏红明,李崇银.2002.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,18(4)：335-344.
徐国昌,李珊,洪波.1994.青藏高原雪盖异常对我国环流和降水影响.应用气象学报,5(1)62-67.
徐海明,何金海,董敏.2001.江淮入梅的年际变化及其与北大西洋涛动和海温异常的联系.气象学报,59(6)：694-706.
晏红明,严华生,谢应齐.2001.中国汛期降水的印度洋SSTA信号特征分析.热带气象学报,17(2)：109-116.
晏红明,李崇银,周文.2009.南印度洋副热带偶极模在ENSO事件中的作用.地球物理学报,52(10)：2436-2449.
杨鉴初.1953.运用气象要素历史演变的规律性作一年以上的长期预告.气象学报,24.100-1 17.
杨明珠,丁一汇,李维京,等,2007.印度洋海表温度主模态及其与亚洲夏季季风的关系.气象学报,65(4)：527-536.
杨明珠,丁一汇.2006.印度洋海表温度的变化及其对印度夏季季风降水影响的诊断研究.海洋学报,28(4)：9-16.
杨秋明.2006.南印度洋副热带偶极子型海温异常与全球环流和我国降水变化的关系.海洋学报,28(3)：47-56.
袁媛,李崇银.2008.热带印度洋偶极子与ENSO事件关系的年代际变化.科学通报,53(12)：1429-1436.
袁媛,李崇银.2009.热带印度洋海温异常不同模态对南海夏季风爆发的可能影响.大气科学,33(2)：325-336.
袁媛,杨辉,李崇银.2012.不同分布型厄尔尼诺事件及对中国次年夏季降水的可能影响.气象学报,70(3)：467-478.
张春莹,陈星.2008.赤道印度洋海温异常与偶极子季节变化特征,第四纪研究,28(3)：503-510：
赵珊珊,周天军,杨修群,等.2009.热带印度洋偶极子与中国夏季年际气候异常关系的年代际变化.气象学报,67(4)：549-560.
翟盘茂,李晓燕,任福民.2003.厄尔尼诺.北京：气象出版社.
张庆云,陶诗言.1998.亚洲中高纬环流对东亚夏季降水的影响.气象学报,56(2)：199-211。张庆云,陶诗言,陈烈庭.2003.东亚夏季风指数的年际变化与东亚大气环流.气象学报,61(4)：559-568.
赵兵科,妖秀萍,吴国雄.2005.2003年夏季淮河流域梅雨期西太平洋副高结构和活动特征及动力机制分析.大气科学,29(5)：771-779.
赵亮,邹力,王成林,等.2006.ENSO年东亚夏季风异常对中国江淮流域夏季降水的影响.热带气象学报,22(4)：360-367.
宗海锋,陈烈庭,张庆云.2010.ENSO与中国夏季降水年际变化关系的不稳定性特征.大气科学,34(1)：184-192.
Alexander M A, Blade I, Newman M, et al.2002.The atmospheric bridge:the influence of ENSO teleconnections on air-sea inter-action over the global oceans. J climate, 15(16):2205-2231,
Andrew C. Comriel, Erik C. Glenn.1998. Principal components-based regionalization of precipitation regimes across the southwest United States and northern Mexico, with an application to monsoon precipitation variability. Climate Research,10(2):201-215.
ASHOK K, GUAN Z, YAMAGATA T.2002. Weakening of the ENSO-Indian monsoon rainfall relationship:The Indian Ocean connection. CLIVAR Exchang,1(4):10-11.
Barnston, A G., He Y.1996. Skill of CCA Forecasts of 3-month Mean Surface Climate in Hawaii and Alaska. J. Climate,9(10):2579-2605
Behera S K, Yamagata T.2001. Subtropical SST dipole events in the southern Indian Ocean [J]. Geophys. Res. Lett.,28 (2):327-330.
Bejarano L, Jin F F.2001. Collective role of thermocline and zonal advective feedbacks in the ENSO mode. Journal of Climate,14:3421-3432.
Bejarano L, Jin F F.2007. Coexistence of equatorial coupled modes of ENSO. Journal of Climate,21:3051-3067.
Boville B A.1991. Sensitivity of simulated climate to model resolution. J of Climate,4:469-485.
Boyle J S.1993. Sensitivity of dynamical quantities to horizontal resolution for a climate simulation using the ECMWF model. J of Climate,6:796-815.
Busuioc Aristita, Deliang Chen, Cecilia Hellstrm.1999. Preformance of statistical downscaling models in GCM validation and regional climate change estimate:Application for Swedish precipitation[J].International Journal of Climatology,21:557-578.
Chang C P, Zhang Y, Li T.2000. Interannual and interdecadal variations of the East Asian summer monsoon and tropical Pacifi c SSTs. Part I:Roles of the subtropical ridge. J Climate,13:4310-4325.
Chen D.2000. A monthly circulation climatology for Sweden and its application to a winter temperature case study. Int. J. Climatol.,20:1067-1076.
Chen D, Chen Y M.2003. Association between winter temperature in China and upper air circulation over East Asia revealed by Canonical Correlation Analysis. Global and Planetary Change,37:315-325.
Chen L J, Chen D, Wang H J, et al.2009. Regionalization of precipitation regimes in China. Atmos Ocean Sci Lett,2:301-307.
Cintla B. Uvo.2003. Analysis and Regionalization of Northern European Winter Precipitation based on its Relationship with the North Atlantic Oscillation. Int. J. Climatol.,23:1185-1194.
Cintia BertacchiUvo, JonasO lsson, Osamu Morita, et al.2001. Statistical atmospheric downscaling for rainfall estimation in Kyushu Island, Japan. Hydrology and Earth System Sciences,5:259-271.
Cook ER, Meko DM, Stahle DW, Cleaveland MK.1999. Drought reconstructions for the continental United States. J. Clim.,12:1145-1162.
Frei A, Robinson DA.1999. Northern hemisphere snow extent:regional variability 1972-1994. Int. J. Climatol.,19:1535-1560.
Gong Xiaofeng, Michael B. Richman.1995. On the Application of cluster Analysis to Growing Season Prediction Data in North America East of the Rockies, J. Clim.,8:897-931.
Gu W, Li C Y, Wang X, et al.2009. Linkage between Mei-yuprecipitation and North Atlantic SST on the decadal time scale. Adv Atmos Sci,26 (1):101-108.
GUAN Z, YAMAGATA T.2003. Summertime response of the tropical atmosphere to the Indian Ocean dipole sea surface temperature anomalies[J]. J Meteor Soc,81(3):533-561.
Hellstrm Cecilia, Deliang Chen, Christine Achberger, et al.2001. Comparison of climate change scenarios for Sweden based on statistical and dynamical downscaling of monthly precipitation.Climate Research,19:45-55.
HellstrEm C, Chen D.2003. Statistical downscaling based on dynamically downscaled predictors:Application to monthly precipitation in Sweden. Advances in Atmospheric Sciences,20:951-958.
Hewitson B C, Crane R G.1996. Climate downscaling techniques and applications. Climate Research,7:85-95.
Huang B H, Shukla J.2007b. Mechanisms for the interannual variability in the tropical Indian Ocean. Part II:Regional processes. J. Climate,20(13):2937-2960.
James A. Miller, Gregory B. Goodrich.2007. Regionalization and trends in winter precipitation in the northwestern USA. Climate Research,33:215-227.
James Murphy..2000. Prediction of climate change over Europe using statistical and dynamical downscaling techniques. International Journal of Climatology,20(5):489-501.
Jin F F.1997. An equatorial ocean recharge paradigm for ENSO. Part I:A Stripped-Down Coupled Model. Journal of the Atmosphereic Science,54:811-829.
Jin F F.1997. An equatorial ocean recharge paradigm for ENSO. Part II:A Stripped-Down Coupled Model. Journal of the Atmosphereic Science,,54:830-847.
Kalney E, Kanamitsu M, Kistler R, et al.1996. The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc.,77:437-471.
Kao H Y, Yu J Y.2009. Contrasting Eastern-Pacifi c and Central-Pacific types of ENSO. J Clim,22:615-632.
Kilsby C G, Cowpertwait P S P, OConnell P E, et al.2000. Predicting Rainfall Statistics in England and Wales Using Atmospheric Circulation Variables. International Journal of Climatology,18:523-539.
Kinter J L, K. Miyakoda, Yang S.2002. Recent change in the connection from the Asian Monsoon to ENSO. J Climate,15(10):1203-1215.
Kug J S, Jin F F, An S I.2009. Two types of El Nino events:Cold tongue El Nino and warm pool El Nino. J Clim,22:1499-1515.
Larkin N K, Harrison D E.2005. On the definition of El Nino and associated seasonal average U.S. weather anomalies. Geophys Res Lett,32:L13705. doi:10.1029/2005GL022738.
Martin Ehrendorfer.1987. A regionalization of Austria's precipitation climate using principal component analysis. International Journal of Climatology,7:71-89.
Maritin Widmann, Christopher S B retherton.2003. Statistical Precipitation downscaling over the Northwestern United States using Numerically simulated precipitation as a predictor. Journal of Climate,16:799-816.
McCabe GJ, Palecki MA, Betancourt JL.2004. Pacific and Atlantic Ocean influences on multidecadal drought frequency in the United States. Proc Natl Acad Sci,101:4136-4141.
Mikdat Kadiolu.2000. Regional variability of seasonal precipitation over Turkey, International Journal of Climatology,20:1743-1760
Oshima Naoko, Hisashi Kato, Shinji Kadokura.2002. An application of statistical downscaling to estimate surface air temperature in Japan. Journal of Geophysics Research,107(D10):141-1410
Palutikof J P, Winkler J A, Goodess C M et al.1997. The Simulation of daily Temperature Time Series From GCM Output. Part I:Comparison of Model Data With Observations. Journal of Climate,17(10):2497-2513
Pan Y H, Oort A H.1990. Correlation analyses between sea surface temperature anomalies in the eastern equatorial Pacific and the world ocean. Clim Dyn,4:191-205.
Pere Esteban, Javier Martin-Vide, Montserrat Mases,2006. Daily atmospheric circulation catalogue for western Europe using multivariate techniques. Int. J. Climate. 26:501-1515.
Roads J 0.1986. Forecasts of time averages with a numerical weather prediction model. J Atmos Sci,43:871-892.
Robert G. Fovell.1997. Consencus Clustering of U.S. Temperature and Precipitation Data, J. Clim.,10:1405-1427.
Ruping Mo, David M Straus.2002. Statistical Dynamical Seasonal Prediction Based on Principal Component Regression of GCM Ensemble Integrations. Monthly Weather Review, 130(9):2167-2187.
Saji N H, Gowsami B N, Vinayachandran P N, et al.1999. A dipole mode in the tropical Indian Ocean. Nature,401 (6751):360-363.
Smith T M.Reyonlds R W, Peterson T C, et al.2008. Improvements to NOAA'S historical merged land-ocean surface temperature analysis(1880-2006). Journal of Climate, 21(10:2283-2296.
Stefan Hastenrath.2002. Dipoles temperature gradients, and tropical climate anomalies. Bull Am er Meteor Soc,83(5):735-738.
Terray P.2011. Southern Hemisphere extra-tropical forcing:A new paradigm for El Nino-southern Oscillation. Climate Dyn.,36 (11-12):2171-2199.
Von Storch H.1995. Inconsistencies at the interface of climate impact studies and global climate research. Meteorologische Zeitschrift,4:72-80.
Webster P J, Moore A, Loschinigg J, et al.1999. Coupled ocean-atmosphere dynamics in the Indian Ocean. Nature,401:356-360
Wigley T M L, Jones P D, Briffa K R, et al.1990. Obtaining subgrid scale information from coarse resolution general circulation model output. Journal Geophysics Research, 95 (22):1943-1953.
Wilby R L, Hay L E, Leavesley G H.1999. A comparison of downscaled and raw GCM output: Implications for climate change scenarios in the San Juan River basin, Colorado. Journal of Hydology,225:67-91.
Wilby R L, Wigley T M.1997. Downscaling General Circulation Model Output:A Review of Methods and Limitations. Progress in Physical Geography,21,530-548
Willem A Landman, Warren JT ennant.2000. Statistical downscal ing of monthly forecast. International Journal of Climatology,20:1521-1532.
Wu Tongwen, Rucong Yu, Fang Zhang, et al.2010. The Beijing Climate Center atmospheric general circulation model:description and its performance for the present-day climate. Clim Dyn,34:123-147.
Wu Z, Wang B, Li J, et al.2009. An empirical seasonal prediction model of the East Asian summer monsoon using ENSO and NAO. J Geophys Res.
Wyrtki K.1975. El Nino-the dynamic response of the equatorial Pacifi c Ocean to atmospheric forcing. J Phys Oceanogr,5:572-584.
Yang Song, Xu Lizhang.1994. Linkage between Eurasian winter snow cover and regional Chinese summer rainfall. Int J Climatol 14(7):739-750.
Yurdanur Unal, Tayfun Kindap and Mehmet Karaca.2003. Redifing the Climate Zones of Turkey Using Cluster Analysis, Int. J. Climatol.23:1045-1055.
Zhang R, Sumi A, Kimoto M.1999. A diagnostic study of the impact of El Nino on the precipitation in China. Adv Atmos Sci,16:229-241.
Zhou L T, Tam C Y, Zhou W, et al.2009. Infl uence of South China Sea SST and the ENSO on winter rainfall over South China. Adv Atmos Sci,27:832-844.
Zhou T, Yu R, Zhang J, et al.2009. Why the Western Pacif ic Subtropical High has Extended westward since the Late 1970s. J Climate,22(8):2199-2215.
Zhou W, Chan J C L.2007. ENSO and the South China Sea summer monsoon onset. Int J Climatol,27(6):157-167.
Zorita E, Hughes J, Lettenmarier D, et al.1995. Stochastic characterization of regional circulation patterns for climate model diagnosis and estimation of local precipitation. Journal of Climate,8(6):1023-1042.
巢纪平,巢清尘,刘琳.2005.热带太平洋ENSO事件和印度洋的DIPOLE事件.气象学报,63(05)：594-602.
巢纪平,袁绍宇,蔡怡.2003.热带印度洋的大尺度海气相互作用事件.气象学报,61(2)：251-256.
蔡学湛.2001.青藏高原雪盖与东亚季风异常对华南前汛期降水的影响.应用气象学报,12(3)：358-367.
陈桂英,赵振国.1998.短期气候预测评估方法和业务初评.应用气象学报,9(2)：178-185.
陈丽娟,李维京,张培群等.2003.降尺度技术在月降水预报业务中的应用.应用气象学报,14(6)：648-655.
陈烈庭.1988.热带印度洋-太平洋海温纬向异常及其对亚洲夏季风的影响.大气科学,特刊：142-148.
陈烈庭,吴仁广.1994.中国东部的降水区划及各区旱涝变化的特征,大气科学,18：586-595.
陈烈庭.1998.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, 增刊：1-7.
陈绍东,王谦谦,钱永甫.2003.江南汛期降水基本气候特征及其与海温异常关系初探.热带气象学报,19：260-268.
陈永仁,李跃清,齐冬梅.2011.南亚高压和西太平洋副热带高压的变化及其与降水的联系.高原气象,30(5)：1148-1157.
陈兴芳,宋文玲.2000.欧亚和青藏高原冬春季积雪与我国夏季降水关系的分析和预测应用.高原气象,19(2)：214-223.
陈兴芳,宋文玲.2000.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,24(5)：585-592.
邓立平,王谦谦.2002.华南前汛期(4-6月)降水异常特征及其与我国近海海温的关系.热带气象学报,18(2)：45-55.
丁一汇,李清泉,李维京等.2004.中国业务动力季节预报的进展.气象学报,62(5)：598-612
丁一汇,张雁,马强等.19991.998年夏淮河流域试验加密观测期间主要天气形势特点及其重要观测成果.见：赵柏林,丁一汇编.淮河流域能量与水分循环研究(一).北京：气象出版社.
董敏,吴统文,王在志,等.2009.北京气候中心大气环流模式对季节内振荡的模拟.气象学报,67(6)：912-922.
董敏,吴统文,王在志,等.2013BCC_CSM1.0模式对20世纪降水及其变率的模拟.应用气象学报,24(1)：1-11.
高辉,王永光.2007.ENSO对中国夏季降水可预测性变化的研究.气象学报,65(1)：131-137.
黄荣辉,孙凤英.热带西太平洋暖池上空对流活动对东亚夏季风季节内变化的影响.大气科学,18(2)：141-152.
黄荣辉,吴仪芳.1992.关于ENSO循环动力学的研究.海洋环流研讨会论文选集.北京：海洋出版社.
贾小龙,陈丽娟,李维京,等,2010.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,68(3)：398-410.
贾小龙,李崇银.2005.南印度洋海温偶极子型振荡及其气候影响.地球物理学报,48(6)：1238-1249.
金祖辉,陶诗言.1999ENSO循环与中国东部地区夏季和冬季降水关系的研究.大气科学,23(6)：663-672.
李崇银.2000.气候动力学引论.北京：气象出版社.
李崇银,穆明权,潘静.2001.印度洋海温偶极子和太平洋海温异常.科学通报,46(20)1747-1751.
李崇银,穆明权.2001.赤道印度洋海温偶极子型振荡及其气候影响.大气科学,25(4)433-443.
李清泉,丁一汇,张培群.2004.一个全球海-气耦合模式跨季度汛期预测能力的初步检验和评估.气象学报,62(6)：740-751.
李维京,陈丽娟.1999.动力延伸产品释用方法研究.气象学报.57(3)：338-345.
李维京,张培群,李清泉等.2005.动力气候模式预测系统业务化及其应用.应用气象学报,16(Appl.)：1-11.
李维京.1998.1998年大气环流异常及其对中国气候异常的影响.气象.25(4)：20-25.
梁肇宁,温之平,吴丽姬.2006.印度洋海温异常和南海夏季风建立迟早的关系I.耦合分析.大气科学,30(4)：619-634.
刘梅,胡洛林,张备等.2008.梅汛期100 hPa南亚高压特征与江苏梅雨关系研究.热带气象学报,24(3)：284-293.
罗绍华,金祖辉,陈烈庭.1985.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,9(3)：314-320.
南素兰,李建平.2005.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,63(6)：837-846.
南素兰,李建平.2005.春季南半球环状模与长江流域夏季降水的关系：Ⅱ印度洋和南海海温的“海洋桥”作用.气象学报,63(6)：847-856.
倪东鸿,孙照渤,陈海山等.2004.夏季黑潮区域SSTA及其与中国夏季降水的联系.南京气象学院学报,27(3)：310-316.
钱维宏,陆波.2010.我国汛期季度降水预报得分和预报技巧.气象,36(10)：1-7.
秦爱民,钱维宏,蔡亲波.2005.1960-2000年中国不同季节的气温分区及趋势,气象科学,25(3)：338-345.
秦爱民,钱维宏.2006.近41年中国不同季节降水气候分区及趋势,高原气象,25(4)：495-502.
任宏利,张培群,丑纪范,等.2005.中国夏季大尺度低频雨型及其转换模,科学通报,50(6)： 2790-2799.
容新尧,张人禾,LI Tim.2010.大西洋海温异常在ENSO影响印度-东亚夏季风中的作用.科学通报,55(14)：1397-1408.
施能.气象科研与预报中的分析方法[M].北京：气象出版社.
施能,顾俊强,封国林.2007.论带有趋势变化的变量的相关：数值试验[J].数学的实践与认识.37(8)：98-103.
孙林海,赵振国,许力,等.2005.中国东部季风区夏季雨型的划分及其环流成因分析,应用气象学报,16(3)：56-62.
孙淑清,马淑洁.2003.海温异常对东亚夏季风及长江流域降水影响的分析和数值试验.大气科学,27(1)：36-52.
陶玫,蒋薇,项瑛等.2012.1998年和2010年长江流域汛期洪涝成因对比分析.气象科学.32(3)：282-287.
陶诗言,朱福康.1964.夏季亚洲南部100hPa流型的变化及其与副热带高压进退的关系,气象学报,34(4)：385-395.
韦志刚,罗四维,董文杰.1998.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,9(增刊)：39-46.
王绍武,龚道溢.1999.近百年来的ENSO事件及其强度.气象,25(1)：9-14.
王叶红,王谦谦,赵玉春.1999.长江中下游降水异常特征及其与全国降水和气候异常的关系.南京气象学院学报,22(6)：685-691.
魏凤英.2011.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,22(1)：1-11.
魏凤英.2007.现代气候统计诊断与预测技术(第2版).北京：气象出版社,
吴国雄,孙凤英,王敬方,等.1995.降水对热带海表温度异常的邻域响应.II资料分析.大气科学,19(6)：664-676.
吴国雄,刘平,刘屹岷,等.2000.印度洋海温异常对西太平洋副热带高压的影响——大气中的两级热力适应.气象学报,58(5)：513-522.
吴洪宝,吴蕾.2005.气候变率诊断和预测方法.气象出版社.
吴统文,钱正安.2000.青藏高原冬春积雪异常与中国东部地区夏季降水关系的进一步分析.气象学报.58(5)：570-581.
肖子牛,晏红明,李崇银.2002.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,18(4)：335-344.
徐国昌,李珊,洪波.1994.青藏高原雪盖异常对我国环流和降水影响.应用气象学报,5(1)62-67.
徐海明,何金海,董敏.2001.江淮入梅的年际变化及其与北大西洋涛动和海温异常的联系.气象学报,59(6)：694-706.
晏红明,严华生,谢应齐.2001.中国汛期降水的印度洋SSTA信号特征分析.热带气象学报,17(2)：109-116.
晏红明,李崇银,周文.2009.南印度洋副热带偶极模在ENSO事件中的作用.地球物理学报,52(10)：2436-2449.
杨鉴初.1953.运用气象要素历史演变的规律性作一年以上的长期预告.气象学报,24.100-1 17.
杨明珠,丁一汇,李维京,等,2007.印度洋海表温度主模态及其与亚洲夏季季风的关系.气象学报,65(4)：527-536.
杨明珠,丁一汇.2006.印度洋海表温度的变化及其对印度夏季季风降水影响的诊断研究.海洋学报,28(4)：9-16.
杨秋明.2006.南印度洋副热带偶极子型海温异常与全球环流和我国降水变化的关系.海洋学报,28(3)：47-56.
袁媛,李崇银.2008.热带印度洋偶极子与ENSO事件关系的年代际变化.科学通报,53(12)：1429-1436.
袁媛,李崇银.2009.热带印度洋海温异常不同模态对南海夏季风爆发的可能影响.大气科学,33(2)：325-336.
袁媛,杨辉,李崇银.2012.不同分布型厄尔尼诺事件及对中国次年夏季降水的可能影响.气象学报,70(3)：467-478.
张春莹,陈星.2008.赤道印度洋海温异常与偶极子季节变化特征,第四纪研究,28(3)：503-510：
赵珊珊,周天军,杨修群,等.2009.热带印度洋偶极子与中国夏季年际气候异常关系的年代际变化.气象学报,67(4)：549-560.
翟盘茂,李晓燕,任福民.2003.厄尔尼诺.北京：气象出版社.
张庆云,陶诗言.1998.亚洲中高纬环流对东亚夏季降水的影响.气象学报,56(2)：199-211。张庆云,陶诗言,陈烈庭.2003.东亚夏季风指数的年际变化与东亚大气环流.气象学报,61(4)：559-568.
赵兵科,妖秀萍,吴国雄.2005.2003年夏季淮河流域梅雨期西太平洋副高结构和活动特征及动力机制分析.大气科学,29(5)：771-779.
赵亮,邹力,王成林,等.2006.ENSO年东亚夏季风异常对中国江淮流域夏季降水的影响.热带气象学报,22(4)：360-367.
宗海锋,陈烈庭,张庆云.2010.ENSO与中国夏季降水年际变化关系的不稳定性特征.大气科学,34(1)：184-192.
Alexander M A, Blade I, Newman M, et al.2002.The atmospheric bridge:the influence of ENSO teleconnections on air-sea inter-action over the global oceans. J climate, 15(16):2205-2231,
Andrew C. Comriel, Erik C. Glenn.1998. Principal components-based regionalization of precipitation regimes across the southwest United States and northern Mexico, with an application to monsoon precipitation variability. Climate Research,10(2):201-215.
ASHOK K, GUAN Z, YAMAGATA T.2002. Weakening of the ENSO-Indian monsoon rainfall relationship:The Indian Ocean connection. CLIVAR Exchang,1(4):10-11.
Barnston, A G., He Y.1996. Skill of CCA Forecasts of 3-month Mean Surface Climate in Hawaii and Alaska. J. Climate,9(10):2579-2605
Behera S K, Yamagata T.2001. Subtropical SST dipole events in the southern Indian Ocean [J]. Geophys. Res. Lett.,28 (2):327-330.
Bejarano L, Jin F F.2001. Collective role of thermocline and zonal advective feedbacks in the ENSO mode. Journal of Climate,14:3421-3432.
Bejarano L, Jin F F.2007. Coexistence of equatorial coupled modes of ENSO. Journal of Climate,21:3051-3067.
Boville B A.1991. Sensitivity of simulated climate to model resolution. J of Climate,4:469-485.
Boyle J S.1993. Sensitivity of dynamical quantities to horizontal resolution for a climate simulation using the ECMWF model. J of Climate,6:796-815.
Busuioc Aristita, Deliang Chen, Cecilia Hellstrm.1999. Preformance of statistical downscaling models in GCM validation and regional climate change estimate:Application for Swedish precipitation[J].International Journal of Climatology,21:557-578.
Chang C P, Zhang Y, Li T.2000. Interannual and interdecadal variations of the East Asian summer monsoon and tropical Pacifi c SSTs. Part I:Roles of the subtropical ridge. J Climate,13:4310-4325.
Chen D.2000. A monthly circulation climatology for Sweden and its application to a winter temperature case study. Int. J. Climatol.,20:1067-1076.
Chen D, Chen Y M.2003. Association between winter temperature in China and upper air circulation over East Asia revealed by Canonical Correlation Analysis. Global and Planetary Change,37:315-325.
Chen L J, Chen D, Wang H J, et al.2009. Regionalization of precipitation regimes in China. Atmos Ocean Sci Lett,2:301-307.
Cintla B. Uvo.2003. Analysis and Regionalization of Northern European Winter Precipitation based on its Relationship with the North Atlantic Oscillation. Int. J. Climatol.,23:1185-1194.
Cintia BertacchiUvo, JonasO lsson, Osamu Morita, et al.2001. Statistical atmospheric downscaling for rainfall estimation in Kyushu Island, Japan. Hydrology and Earth System Sciences,5:259-271.
Cook ER, Meko DM, Stahle DW, Cleaveland MK.1999. Drought reconstructions for the continental United States. J. Clim.,12:1145-1162.
Frei A, Robinson DA.1999. Northern hemisphere snow extent:regional variability 1972-1994. Int. J. Climatol.,19:1535-1560.
Gong Xiaofeng, Michael B. Richman.1995. On the Application of cluster Analysis to Growing Season Prediction Data in North America East of the Rockies, J. Clim.,8:897-931.
Gu W, Li C Y, Wang X, et al.2009. Linkage between Mei-yuprecipitation and North Atlantic SST on the decadal time scale. Adv Atmos Sci,26 (1):101-108.
GUAN Z, YAMAGATA T.2003. Summertime response of the tropical atmosphere to the Indian Ocean dipole sea surface temperature anomalies[J]. J Meteor Soc,81(3):533-561.
Hellstrm Cecilia, Deliang Chen, Christine Achberger, et al.2001. Comparison of climate change scenarios for Sweden based on statistical and dynamical downscaling of monthly precipitation.Climate Research,19:45-55.
HellstrEm C, Chen D.2003. Statistical downscaling based on dynamically downscaled predictors:Application to monthly precipitation in Sweden. Advances in Atmospheric Sciences,20:951-958.
Hewitson B C, Crane R G.1996. Climate downscaling techniques and applications. Climate Research,7:85-95.
Huang B H, Shukla J.2007b. Mechanisms for the interannual variability in the tropical Indian Ocean. Part II:Regional processes. J. Climate,20(13):2937-2960.
James A. Miller, Gregory B. Goodrich.2007. Regionalization and trends in winter precipitation in the northwestern USA. Climate Research,33:215-227.
James Murphy..2000. Prediction of climate change over Europe using statistical and dynamical downscaling techniques. International Journal of Climatology,20(5):489-501.
Jin F F.1997. An equatorial ocean recharge paradigm for ENSO. Part I:A Stripped-Down Coupled Model. Journal of the Atmosphereic Science,54:811-829.
Jin F F.1997. An equatorial ocean recharge paradigm for ENSO. Part II:A Stripped-Down Coupled Model. Journal of the Atmosphereic Science,,54:830-847.
Kalney E, Kanamitsu M, Kistler R, et al.1996. The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc.,77:437-471.
Kao H Y, Yu J Y.2009. Contrasting Eastern-Pacifi c and Central-Pacific types of ENSO. J Clim,22:615-632.
Kilsby C G, Cowpertwait P S P, OConnell P E, et al.2000. Predicting Rainfall Statistics in England and Wales Using Atmospheric Circulation Variables. International Journal of Climatology,18:523-539.
Kinter J L, K. Miyakoda, Yang S.2002. Recent change in the connection from the Asian Monsoon to ENSO. J Climate,15(10):1203-1215.
Kug J S, Jin F F, An S I.2009. Two types of El Nino events:Cold tongue El Nino and warm pool El Nino. J Clim,22:1499-1515.
Larkin N K, Harrison D E.2005. On the definition of El Nino and associated seasonal average U.S. weather anomalies. Geophys Res Lett,32:L13705. doi:10.1029/2005GL022738.
Martin Ehrendorfer.1987. A regionalization of Austria's precipitation climate using principal component analysis. International Journal of Climatology,7:71-89.
Maritin Widmann, Christopher S B retherton.2003. Statistical Precipitation downscaling over the Northwestern United States using Numerically simulated precipitation as a predictor. Journal of Climate,16:799-816.
McCabe GJ, Palecki MA, Betancourt JL.2004. Pacific and Atlantic Ocean influences on multidecadal drought frequency in the United States. Proc Natl Acad Sci,101:4136-4141.
Mikdat Kadiolu.2000. Regional variability of seasonal precipitation over Turkey, International Journal of Climatology,20:1743-1760
Oshima Naoko, Hisashi Kato, Shinji Kadokura.2002. An application of statistical downscaling to estimate surface air temperature in Japan. Journal of Geophysics Research,107(D10):141-1410
Palutikof J P, Winkler J A, Goodess C M et al.1997. The Simulation of daily Temperature Time Series From GCM Output. Part I:Comparison of Model Data With Observations. Journal of Climate,17(10):2497-2513
Pan Y H, Oort A H.1990. Correlation analyses between sea surface temperature anomalies in the eastern equatorial Pacific and the world ocean. Clim Dyn,4:191-205.
Pere Esteban, Javier Martin-Vide, Montserrat Mases,2006. Daily atmospheric circulation catalogue for western Europe using multivariate techniques. Int. J. Climate. 26:501-1515.
Roads J 0.1986. Forecasts of time averages with a numerical weather prediction model. J Atmos Sci,43:871-892.
Robert G. Fovell.1997. Consencus Clustering of U.S. Temperature and Precipitation Data, J. Clim.,10:1405-1427.
Ruping Mo, David M Straus.2002. Statistical Dynamical Seasonal Prediction Based on Principal Component Regression of GCM Ensemble Integrations. Monthly Weather Review, 130(9):2167-2187.
Saji N H, Gowsami B N, Vinayachandran P N, et al.1999. A dipole mode in the tropical Indian Ocean. Nature,401 (6751):360-363.
Smith T M.Reyonlds R W, Peterson T C, et al.2008. Improvements to NOAA'S historical merged land-ocean surface temperature analysis(1880-2006). Journal of Climate, 21(10:2283-2296.
Stefan Hastenrath.2002. Dipoles temperature gradients, and tropical climate anomalies. Bull Am er Meteor Soc,83(5):735-738.
Terray P.2011. Southern Hemisphere extra-tropical forcing:A new paradigm for El Nino-southern Oscillation. Climate Dyn.,36 (11-12):2171-2199.
Von Storch H.1995. Inconsistencies at the interface of climate impact studies and global climate research. Meteorologische Zeitschrift,4:72-80.
Webster P J, Moore A, Loschinigg J, et al.1999. Coupled ocean-atmosphere dynamics in the Indian Ocean. Nature,401:356-360
Wigley T M L, Jones P D, Briffa K R, et al.1990. Obtaining subgrid scale information from coarse resolution general circulation model output. Journal Geophysics Research, 95 (22):1943-1953.
Wilby R L, Hay L E, Leavesley G H.1999. A comparison of downscaled and raw GCM output: Implications for climate change scenarios in the San Juan River basin, Colorado. Journal of Hydology,225:67-91.
Wilby R L, Wigley T M.1997. Downscaling General Circulation Model Output:A Review of Methods and Limitations. Progress in Physical Geography,21,530-548
Willem A Landman, Warren JT ennant.2000. Statistical downscal ing of monthly forecast. International Journal of Climatology,20:1521-1532.
Wu Tongwen, Rucong Yu, Fang Zhang, et al.2010. The Beijing Climate Center atmospheric general circulation model:description and its performance for the present-day climate. Clim Dyn,34:123-147.
Wu Z, Wang B, Li J, et al.2009. An empirical seasonal prediction model of the East Asian summer monsoon using ENSO and NAO. J Geophys Res.
Wyrtki K.1975. El Nino-the dynamic response of the equatorial Pacifi c Ocean to atmospheric forcing. J Phys Oceanogr,5:572-584.
Yang Song, Xu Lizhang.1994. Linkage between Eurasian winter snow cover and regional Chinese summer rainfall. Int J Climatol 14(7):739-750.
Yurdanur Unal, Tayfun Kindap and Mehmet Karaca.2003. Redifing the Climate Zones of Turkey Using Cluster Analysis, Int. J. Climatol.23:1045-1055.
Zhang R, Sumi A, Kimoto M.1999. A diagnostic study of the impact of El Nino on the precipitation in China. Adv Atmos Sci,16:229-241.
Zhou L T, Tam C Y, Zhou W, et al.2009. Infl uence of South China Sea SST and the ENSO on winter rainfall over South China. Adv Atmos Sci,27:832-844.
Zhou T, Yu R, Zhang J, et al.2009. Why the Western Pacif ic Subtropical High has Extended westward since the Late 1970s. J Climate,22(8):2199-2215.
Zhou W, Chan J C L.2007. ENSO and the South China Sea summer monsoon onset. Int J Climatol,27(6):157-167.
Zorita E, Hughes J, Lettenmarier D, et al.1995. Stochastic characterization of regional circulation patterns for climate model diagnosis and estimation of local precipitation. Journal of Climate,8(6):1023-1042.