Projections of the East Asian Winter Monsoon under the IPCC AR5 Scenarios Using a Coupled Model: IAP-FGOALS

Responses of the East Asian winter monsoon(EAWM) in future projections were studied based on two core future projections of CMIP5 in coordinated experiments with the IAP-coupled model FGOALS2-s.The projected changes of EAWM in climatology,seasonality,and interannual variability are reported here;the projections indicated strong warming in winter season.Warming increased with latitude,ranging from 1 C to 3 C in the Representative Concentration Pathways simulation RCP4.5 projection(an experiment that results in additional radiative forcing of ～4.5 W m 2 in 2100) and from 4 C to 9 C in the RCP8.5 projection(an experiment that results in additional radiative forcing of ～8.5 W m 2 in 2100).The northerly wind along the East Asian coastal region became stronger in both scenarios,indicating a stronger EAWM.Accordingly,interannual variability(described by the standard deviation of temperature) increased around the South China Sea and lower latitudes and decreased over eastern China,especially in North China.The two EAWM basic modes,defined by the temperature EOF analysis over East Asia,were associated with the Arctic Oscillation(AO) and stratospheric polar vortex.The future projections revealed more total variance attributable to the secondary mode,suggesting additional influences from the stratosphere.The correlation between AO and the leading mode decreased,while the correlation between AO and the secondary mode increased,implying increased complexity regarding the predictability of EAWM interannual variations in future projections.     

Resonance Effect in Interaction Between South Asian Summer Monsoon and ENSO During 1958–2018

The study has shown that the shear component of the vertical integrated kinetic energy (Ks) over the box (40oE–100oE, 0o–20oN) can be used as a measure of the intensity of the South Asian summer monsoon (SASM). Based on its value averaged between June and August, the SASM can be divided into strong and weak monsoon episodes. Between 1958 and 2018, there existed 16 (16) strong (weak) monsoon episodes. Based on the calendar year, the relationship between the SASM and the ENSO episodes can be grouped into six patterns: weak monsoon - El Ni?o (WM-EN), normal monsoon - El Ni?o (NM-EN), weak monsoon - non ENSO (WM-NE), strong monsoon - La Ni?a (SM-LN), normal monsoon - La Ni?a (NM-LN) and strong monsoon - non ENSO (SM-NE). Previous studies have suggested that the WM-EN and SM-LN patterns reflect the correlated relationship between the SASM and El Ni?o/Southern Oscillation (ENSO) events. Therefore, we name these two strongly coupled categories WM-EN and SM-LN as the resonance effect. Two important circulations, Walker circulation (WC) and zonal Asian monsoon circulation (MC), in the vertical plane are found to be not always correlated. MC is controlled by thermal gradients between the Asian landmass and the tropical Indian Ocean, while the WC associated with the ENSO event is primarily the east-west thermal gradient between the tropical South Pacific and the tropical Indian Ocean. Furthermore, the gradient directions caused by different surface thermal conditions are different. The main factor for the resonance effect is the phenomenon that the symbols of SSTA in the tropical Indian Ocean and the equatorial eastern Pacific are the same, but are opposite to that of the SSTA near the maritime continent.     

Assessment of the Summer South Asian High in Eighteen CMIP5 Models

The South Asian High(SAH) is one of the most important components of the Asian summer monsoon system. To understand the ability of state-of-the-art general circulation models(GCMs) to capture the major characteristics of the SAH, the authors evaluate 18 atmospheric models that participated in the Coupled Model Intercomparison Project Phase 5/Atmospheric Model Intercomparison Project(CMIP5/AMIP). Results show that the multi-model ensemble(MME) mean is able to capture the climatological pattern of the SAH, although its intensity is slightly underestimated. For the interannual variability of the SAH, the MME exhibits good correlation with the reanalysis for the area and intensity index, but poor skill in capturing the east-west oscillation of the SAH. For the interdecadal trend, the MME shows pronounced increasing trends from 1985 to 2008 for the area and intensity indexes, which is consistent with the reanalysis, but fails to capture the westward shift of the SAH center. The individual models show different capacities for capturing climatological patterns, interannual variability, and interdecadal trends of the SAH. Several models fail to capture the climatological pattern, while one model overestimates the intensity of the SAH. Most of the models show good correlations for interannual variability, but nearly half exhibit high root-mean-square difference(RMSD) values. Six models successfully capture the westward shift of the SAH center in the interdecadal trends, while other models fail. The possible causes of the systematic biases involved in several models are also discussed.     

东亚夏季风强度的多尺度统计预测模型

东亚夏季风强度的变化与中国雨带和旱涝分布密切相关。为了做好东亚夏季风强度的短期气候预测,采用小波分析、Lanczos滤波器、交叉检验等方法,研究了东亚夏季风强度的多尺度变化特征,在年际与年代际尺度上分别寻找了它在前冬海温场、200 hPa纬向风场上的前兆信号,并利用最优子集回归建立了东亚夏季风强度的多尺度统计物理预测模型。结果表明:东亚夏季风强度存在准4年、准13年和准43年的周期振荡。年际尺度上,前冬赤道东太平洋(10°N~10°S,160°W~80°W)海温与东亚夏季风强度有最强的显著负相关,且它与东亚夏季风强度在200 hPa纬向风场上的前兆信号有较强的负相关;年代际尺度上,南半球60°S与35°S附近200 hPa纬向风之差与东亚夏季风强度有最强的显著正相关,且它与东亚夏季风强度在热带印度洋、低纬度东南太平洋、低纬度南大西洋的海温及亚洲副热带200 hPa纬向风等前兆信号有强的正相关。通过探讨这两个前兆因子对东亚夏季风强度的预测意义,揭示了他们影响东亚夏季风强度年际和年代际变化的可能物理过程。所建立的东亚夏季风强度多尺度最优子集回归预测模型,不仅对东亚夏季风强度的年际变化具有较好的预测能力,而且对异常极值年份也具有一定的预测能力。     

Future Changes in the Relationship Between the South and East Asian Summer Monsoons in CMIP6 Models

The future changes in the relationship between the South Asian summer monsoon (SASM) and the East Asian summer monsoon (EASM) are investigated by using the high-emissions Shared Socioeconomic Pathway 5-8.5 (SSP5- 8.5) experiments from 26 coupled models that participated in the phase 6 of the Coupled Model Intercomparison Project (CMIP6). Six models, selected based on their best performance in simulating the upper- and lower-level pathways related to the SASM-EASM teleconnection in the historical run, can capture the positive relationship between the SASM and the rainfall over northern China. In the future scenario, the upper-level teleconnection wave pattern connecting the SASM and the EASM exhibits a significant weakening trend, due to the rainfall anomalies decrease over the northern Indian Peninsula in the future. At the lower level, the western North Pacific anticyclone is projected to strengthen in the warming climate. The positive (negative) rainfall anomalies associated with positive (negative) SASM rainfall anomalies are anticipated to extend southward from northern China to the Yangtze-Huai River valley, the Korea Peninsula, and southern Japan. The connection in the lower-level pathway may be strengthened in the future.     

ENSO冷暖位相影响东亚冬季风与东亚夏季风联系的非对称性

东亚冬季风（East Asian Winter Monsoon,简称EAWM）和东亚夏季风（East Asian Summer Monsoon,简称EASM）作为东亚季风系统的两个组成部分,他们之间存在显著的转换关系。前人的研究表明EAWM与次年EASM的转换关系只有在ENSO事件发生时才显著,然而这些研究都是基于ENSO对大气环流的影响是对称的这一假设下进行的。本文的研究表明EAWM和次年EASM的转换关系在ENSO冷暖事件中存在着明显的不对称性。通过将EAWM分为与ENSO有关的部分（EAWM_EN）和与ENSO无关的部分（EAWM_RES）,我们发现在强EAWM_EN年（即La Ni?a年）,在西北太平洋会存在一个从冬季维持到次年夏季的气旋性环流异常（the anomalous western North Pacific Cyclone,WNPC）,从而造成EASM偏弱;而在弱EAWM_EN年（即El Ni?o年时）,在西北太平洋会存在一个从冬季维持到次年夏季的反气旋性环流异常（the anomalous western North Pacific anticyclone,WNPAC）,从而引起次年EASM偏强。比较而言,WNPAC的位置比WNPC的位置偏南,且强度更强,因而在El Ni?o年能够引起次年EASM更大幅度的增强。造成这一不对称联系的主要原因是热带太平洋和印度洋异常海温的演变差异。在强EAWM_EN年,热带太平洋的负海温异常衰减地较慢,使得在次年夏季仍然维持着显著的负异常海温;相反,在弱EAWM_EN年,热带太平洋的正海温异常衰减地较快,以至于在次年夏季的异常海温信号已经基本消失,但此时印度洋却有着显著的暖海温异常。海温演变的差异进一步造成了大气环流的差异,从而导致EAWM与次年EASM联系的不对称性。     

Connections Between the South Asian Summer Monsoon and the Tropical Sea Surface Temperature in CMIP5

The South Asian summer monsoon (SASM) precipitation is analyzed based on reanalysis datasets and historical simulation results from 23 climate models of the Coupled Model Intercomparison Project phase ...     

东亚季风近几十年来的主要变化特征

本文简要综述了关于东亚夏季风和冬季风近几十年来的主要变化特征的若干研究结果,特别是关于其年代际变化方面.夏季风及夏季气候的主要变化特征有:1970年代末之后东亚夏季风的年代际时间尺度的减弱以及相应的我国夏季降水江淮流域增多而华北减少、1992年之后我国华南夏季降水增多、1999年之后我国长江中下游夏季降水减少而淮河流域夏季降水增多、东亚夏季风和ENSO之间的年际变化相关性存在不稳定性.而关于东亚冬季风与冬季气候的主要变化特征有:1980年代中期之后东亚冬季风及其年际变率减弱、1970年代中期之后冬季风和ENSO的年际变化相关性较弱、近年来的北极秋季海冰减少对北半球冬季积雪增多有显著贡献、东北冬季积雪在1980年代中期以后增多.与上述变化有关的极端气候和物候都发生了多方面的变化.     

Projected Increase in Probability of East Asian Heavy Rainy Summer in the 21st Century by CMIP5 Models

In the summer of 1998, heavy rainfall persisted throughout the summer and resulted in a severe prolonged flooding event over East Asia. Will a similar rainy summer happen again? To date, many studies have investigated projected changes in the seasonality or daily extreme precipitation events over East Asia; however, few studies have focused on the changes in extreme summer-averaged East Asian rainfall. This type of summer is referred to as a "heavy rainy summer(HRS)" in this study, and an investigation of future changes in its probability is performed by analyzing CMIP5 model outputs in historical climate simulation(HIST) and under RCP4.5 and RCP8.5.All models project increased probabilities of HRS by a factor of two to three. The projected East Asian summer rainfall(EASR)(EASR_(RCPs)-EASR_(HIST)) in both climatology and HRS is expected to intensify significantly. The increased EASR could be attributed to significantly intensified water vapor transport(WVT) originating from the tropical Indian Ocean(TIO) and the eastern subtropical North Pacific(SNP), which is a result of the thermodynamic component. The WVT from the TIO would supply more moisture for EASR because of its stronger intensity and faster rate of increase.Meanwhile, the EASR anomaly in HRS relative to climatology(EASR_(HRS)-EASR_(CLM)) would increase by approximately 11%–33%. In HIST, the associated WVT anomaly, caused only by the dynamic component, converges moisture from adjacent land and ocean. However, under the RCPs, the WVT anomaly from the TIO, resulted from the thermodynamic component, would appear and increase by a factor of three to be comparable to the WVT anomaly from the eastern SNP.The latter would result from the dynamic component but increase by only half.     

MRI-CGCM模式对东亚夏季风的模拟评估及订正

本文利用CMAP月降水资料、NCEP再分析资料、NOAA的ERSST资料和日本气象厅海气耦合模式（MRI-CGCM）的输出结果,从东亚夏季风气候态、主模态和年际变率等方面分析了MRI-CGCM模式对东亚夏季风的预测性能,并且利用观测的东亚夏季风指数（EASMI）与模拟PC（principal component）的关系建立多元线性回归方程来订正EASMI（简称PC订正法）。结果表明:MRI-CGCM模式能够较好再现东亚夏季风降水和低层风场的气候态,但模拟的西北太平洋反气旋偏弱、偏东,使得模拟的副热带地区降水量偏小。模式较好地模拟出东亚夏季风降水第一模态（EOF1）及相应的低层风场,能够较好再现出EOF1对应El Ni?o衰减位相;模拟降水的EOF1与观测之间的空间相关系数（ACC）为0.72,且能较好地再现其对应的年际变率,其时间系数PC1与观测之间的相关系数为0.41,能模拟出观测EOF1的2 a和5 a主导周期;但模拟的我国以东梅雨锋区雨带位置偏南,这与模拟的西北太平洋反气旋位置偏南有关。模式对降水第二模态EOF2的模拟能力比EOF1明显下降,模拟EOF2与观测之间的ACC降到0.36;虽然模式能较好地再现出EOF2对应El Ni?o发展位相,但模拟的西太平洋反气旋位置偏南,使得雨带位置偏南,模拟的我国梅雨锋区雨带位于江南,与观测场上江南少雨相反。模式较好地模拟出我国东部夏季降水和气温空间异常分布和年际变化,模拟与观测夏季降水和气温的多年平均ACC分别为0.74和0.68。模式模拟我国东部、江淮流域和华南地区夏季降水多年平均PS评分分别为69、70和68分,略高于我国夏季降水业务预测多年平均评分（65分）。模拟的我国东部夏季气温与观测多年平均PS评分为74分。PC订正后EASMI与实况的相关系数由0.51提高到0.65、符号一致率由84%升到91%、标准差由0.75增大到1.4、大于1个标准差年数由6年变为12年,订正后在模拟变幅偏小和梅雨锋区雨带偏南等方面均有一定的改善,对应西太平洋反气旋位置和梅雨锋区雨带位置与实况较为吻合。     

南亚夏季风年际变化特征分析

由于季风活动与降水的时空变化有直接的联系 ,故而定量化研究季风的活动对预测旱涝等灾害性天气有重要意义。但是从目前的研究现状来看 ,量化指标描述的结果多具有明显的不一致性。因此 ,在确定定量化指标之前还需要对季风的气候学特征有更多的了解。为此 ,本文利用 195 8— 1997年NCEP NCAR再分析月平均资料 ,首先分析了南亚地区风场演变的基本特征。分析表明 ,85 0hPa与2 0 0hPa纬向风的垂直切变具有显著的季节变化特征 ,6～ 9月为特征期 ,0°～ 2 0°N ,4 0°～ 13 0°E为特征区。在此基础上对南亚夏季风的年际变化问题作了分析和讨论。结果表明 :在南亚夏季风区季风增强或减弱的整体性是第一位的 ,是最主要的年际变化方式 ;大约以 80°E为分界线 ,以西的印度夏季风与以东的东南亚夏季风增强、减弱的反向变化是第二位的 ,而且主要反映了东南亚夏季风的年际变化特征 ;根据纬向风垂直切变的主要特征模选取了 4类具有典型特征的南亚夏季风类型 ,与不同类型南亚夏季风风场相对应的降水场分布有明显的差异。     

亚洲冬夏季风对ENSO事件的响应

根据NCEP/NCAR_1980～1995年的再分析资料,分析了1980年以来5个El Ni?o和La Ni?a年冬、春和夏季200、500和850 hPa合成高度场、风场、流函数场及温度场。发现在冬季El Ni?o（La Ni?a）年亚洲上空的环流型不利（有利）于寒潮向南爆发,导致亚洲冬季风和大洋洲夏季风弱（强）。在El Ni?o（La Ni?a）年冬季华南和青藏高原降水或降雪量为正（负）距平,这使得在晚春和初夏南亚的加热慢（快）,导致夏季海陆的热力对比小（大）,因而出现弱（强）夏季风。我们还发现强El Ni?o年冬季,在印度洋-亚洲上空出现类似于东太平洋-北美上空的PNA遥相关,我们称之为印度洋-亚洲遥相关型（IA）,引起亚洲冬夏季风年际变化的物理过程都是由IA遥相关型引起的。     

Latitude-Dependent Response of East Asian Summer Monsoon to External Forcing in the Last Millennium

Response of the East Asian summer monsoon(EASM) rainfall to external forcing(insolation,volcanic aerosol,and greenhouse gases) is investigated by analysis of a millennium simulation with the coupled climate model ECHO-G.The model reproduces reasonably realistic present-day EASM climatology.The simulated precipitation variation in East Asia over the last millennium compares favorably with the observed and proxy data.It is found that the features and sensitivity of the forced response depend on latitude.On...     

参加CMIP5的四个中国气候模式模拟的东亚冬季风年际变率

本文比较了中国参加“国际耦合模式比较计划”（CMIP5）的四个大气环流模式（即FGOALS-g2、FGOALS-s2、BCC-CSM1-1、BNU-ESM大气模式）在观测海温驱动下,对东亚冬季风（EAWM）气候态和年际变率的模拟能力。结果表明,在气候态上,四个模式均合理再现了EAWM高低层环流系统（包括低层西伯利亚高压（SH）、阿留申低压、异常偏北风、和中高层东亚大槽、西风急流）,其中对2 m气温和500 hPa高度场的模拟技巧最高,四个模式模拟的结果与再分析资料的空间相关系数都达到0.99。在年际变率上,分别对东亚北部地区（30°N～60°N,100°E～140°E）和东亚南部地区（0°～30°N,100°E～140°E）的2 m气温进行经验正交函数分解（EOF）,提取变率主导模态。结果表明,在东亚北部地区,四个模式对2 m气温第一模态（简称“北部型”）的空间分布均有很高的模拟技巧,但只有BNU-ESM能够较好再现其对应的年际变率,其模拟的时间序列与观测的相关系数为0.69。四个模式均能模拟出观测中的3.1 a主导周期,但只有FGOALS-s2和BNU-ESM能模拟出观测中的2.5 a主导周期。在东亚南部地区,模式模拟的前两个主模态共同解释观测中第一模态（简称“南部型”）的特征,其中FGOALS-g2、FGOALS-s2和BNU-ESM的综合模拟技巧较高,但只有BNU-ESM成功再现了观测中2.5 a和3.1 a的主导周期。机理分析表明,FGOALS-g2、FGOALS-s2、BNU-ESM三个模式能合理再现菲律宾海反气旋,同时对南部型有较高的模拟能力,而BCC-CSM1-1则未能有效再现菲律宾海反气旋,使得 BCC-CSM1-1对南部型模拟技巧较低。观测和四个模式模拟的结果一致表现出北极涛动（AO）与北部型PC1呈显著相关,影响大于SH。     

Predictability of South China Sea Summer Monsoon Onset

Predicting monsoon onset is crucial for agriculture and socioeconomic planning in countries where millions rely on the timely arrival of monsoon rains for their livelihoods. In this study we demonstrate useful skill in predicting year-to-year variations in South China Sea summer monsoon onset at up to a three-month lead time using the GloSea5 seasonal forecasting system. The main source of predictability comes from skillful prediction of Pacific sea surface temperatures associated with El NiÑo and La NiÑa. The South China Sea summer monsoon onset is a known indicator of the broadscale seasonal transition that represents the first stage of the onset of the Asian summer monsoon as a whole. Subsequent development of rainfall across East Asia is influenced by subseasonal variability and synoptic events that reduce predictability, but interannual variability in the broadscale monsoon onset for East Asian summer monsoon still provides potentially useful information for users about possible delays or early occurrence of the onset of rainfall over East Asia.     

Relationship Between East Asian Winter Monsoon and Summer Monsoon

Using National Centers for Environmental Prediction/National Centre for Atmospheric Research(NCEP/NCAR) reanalysis data and monthly Hadley Center sea surface temperature(SST) data,and selecting a representative East Asian winter monsoon(EAWM) index,this study investigated the relationship between EAWM and East Asian summer monsoon(EASM) using statistical analyses and numerical simulations.Some possible mechanisms regarding this relationship were also explored.Results indicate a close relationship between EAWM and EASM:a strong EAWM led to a strong EASM in the following summer,and a weak EAWM led to a weak EASM in the following summer.Anomalous EAWM has persistent impacts on the variation of SST in the tropical Indian Ocean and the South China Sea,and on the equatorial atmospheric thermal anomalies at both lower and upper levels.Through these impacts,the EAWM influences the land-sea thermal contrast in summer and the low-level atmospheric divergence and convergence over the Indo-Pacific region.It further affects the meridional monsoon circulation and other features of the EASM.Numerical simulations support the results of diagnostic analysis.The study provides useful information for predicting the EASM by analyzing the variations of preceding EAWM and tropical SST.     

论东亚夏季风的特征、驱动力与年代际变化

本文是以新的资料和研究结果对东亚夏季风的基本特征、驱动力和年代际变化所作的重新分析与评估。内容包括四个部分:（1）东亚夏季风的基本特征;（2）东亚夏季风的驱动力;（3）东亚夏季风的年代际变率与原因;（4）东亚夏季风与全球季风的关系。结果表明:东亚夏季风是亚洲夏季风的一个重要有机部分,主要由来源于热带的季风气流组成,并随季节由南向北呈阶段性推进,它是形成夏季东亚天气与气候的主要环流和降水系统。驱动夏季风的主要强迫有三部分:外部强迫、耦合强迫与内部变率,其中人类活动引起的外强迫（气候变暖、城市化、气溶胶增加等）是新出现的外强迫,它正不断改变着东亚夏季风的特征与演变趋势。海洋与陆面耦合强迫作为自然因子是引起东亚夏季风年际和年代际变化的主要原因,其中太平洋年代尺度振荡（PDO）与北大西洋多年代尺度振荡（AMO）的协同作用是造成东亚夏季风30~40年周期振荡的主要原因。1960年代以后,东亚夏季风经历了强—弱—强的年代际变化,相应的中国东部夏季降水型出现了“北多南少”向“南涝北旱”以及“北方渐增”的转变。最近的研究表明,上述东亚夏季风年代际变化与整个亚非夏季风系统的变化趋势是一致的。在本世纪主要受气候变暖的影响,夏季风雨带将持续北移,中国北方和西部地区出现持续性多雨的格局。最后本文指出,亚非夏季风系统相比于其他区域季风系统更适合全球季风的概念。     

高原季风特征及其与东亚夏季风关系的研究

利用ERA-Interim的位势高度场、温度场和风场再分析资料,计算了1988-2017年的传统高原季风指数(Trational Plateau Monsoon Index,TPMI)和动态高原季风指数(Dynamic Plateau Monsoon Index,DPMI),分析了高原季风的空间分布特征和时间演变规律,结合东亚夏季风指数(East Asian Summer Monsoon Index,EASMI),探讨了高原季风与东亚季风的关系。研究表明:(1)高原夏季风从4月开始形成,暖性低值系统在高原上生成;6月暖性低压系统中心形成并达到最强,此时高原夏季风强度也达到最大;10月暖性闭合低压系统向东北方向移动且强度也随之减弱并退出,高原夏季风结束。(2)DPMI和EASMI具有明显的年际变化特征,在关键年高原夏季风和东亚夏季风的强度表现一致。(3)中纬度受东亚季风所影响区域的位势高度场和青藏高原区域的位势高度场均处于同一正相关区域,而且超前两个月的DPMI同EASMI的相关系数最大,表明高原夏季风对东亚夏季风具有一定的指示意义。(4)东亚夏季风经圈环流受高原温度场变化的影响而移动,高原夏季风的低压系统与高原温度场关系密切。     

东亚夏季风的季节内振荡研究

利用动力学因子和热力学因子结合的方法,将东亚夏季风区的西南风与OLR进行了综合处理,构造成东亚季风指数(IM).研究结果表明,该指数既可很好地反映东亚季风区的风场、高度场的环流特征,又能较好地描述我国长江中下游地区夏季降水和气温的变化.通过功率谱和带通滤波结合的方法研究东亚夏季风中的季节内振荡,东亚夏季风区内低频振荡在夏季主要是以30～60天周期的振荡为主;东亚夏季风的季节内振荡在东亚沿海呈波列的形式,并表现为随时间向北传播的季风涌;由于该季节内振荡的波动,造成了东亚热带夏季风在东亚热带和副热带地区活动的反位相关系.     

东亚夏季风和中国东部夏季降水年代际变化的模拟

利用中国科学院大气物理研究所发展的第四代大气环流模式模拟了1970年代末东亚夏季风和相关的中国东部夏季降水年代际变化。结果表明,在给定的观测海温强迫下,模式能模拟出东亚夏季风的年代际减弱及 相关的环流场变化,包括东亚沿海的偏北风异常以及西太平洋副高的形态变化,模式还较好再现了中国东部夏季降水的雨型变化,即长江流域降水偏多,而华北和华南偏少,但位置略偏南。基于奇异值分解(SVD)的分析表明,热带海洋变暖是这次东亚夏季风的年代际减弱的主要因素,这与太平洋年代际振荡(PDO)在1970年代末期的位相转变有关。此外,模式还较好模拟了长江流域的变冷趋势,进而减弱了海陆温差,使东亚夏季风减弱。