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.     

多模式预报系统对东亚冬季风预测性能的评估

基于哥白尼气候变化服务中心（C3S）提供的五个最先进的季节预报系统输出的1993~2016年回报数据,结合ERA5再分析资料和GPCP降水资料,对其预测东亚冬季风的性能进行评估。结果表明:C3S多模式预报系统能很好地预测东亚冬季风气候态的主要特征,包括西伯利亚高压、阿留申低压、东亚大槽、东亚高空急流及东亚地表气温和降水;SEAS5、GloSea5、MF-Sys7、GCFS2等多个模式均对东亚冬季风指数显示出了预测技巧,同时可以很好地预测与东亚冬季风相关的区域大气环流、地表气温及降水异常;SPSv3模式表现出与观测相反且位置偏西的大气环流、地表气温及降水异常,使得该模式对东亚冬季风指数表现出负技巧。      

Relationship between East Asian Monsoon and Dust Weather Frequency over Beijing

The relationship between dust weather frequency (DWF), which denotes the number of days of dust weather events, over Beijing and the East Asian Monsoon (EAM) was studied using DWF data for Beijing during the period 1951--2006. Results show that, during this period, the blowing-dust weather frequency (BDWF), as well as the indices of East Asian winter monsoon (EAWM) and East Asian summer monsoon (EASM), all decreased considerably, with a t-test confidence level of 99%. The correlation coefficients between the chosen EAWM index and BDWF over Beijing in winter and the following spring were 0.34 and 0.33, respectively, with significance levels of 0.01 and 0.02, respectively. For the chosen EASM index and BDWF, these correlation coefficients were 0.51 and 0.45, respectively, with both at a confidence level exceeding 99.9%. With the linear trends removed, the values (in the same order as above) were 0.14, 0.14, -0.12, and -0.09, all not significant at the 95% confidence level. Clearly, the EAM relates mainly to DWF over long timescales. To a certain extent, the EAM might have some impact on DWF by affecting the associated surface air temperature and precipitation during the corresponding time period in sand-dust source regions at the interannual scale. A stronger (weaker) EAWM might advance (suppress) the occurrence of DWF, and the opposite for the EASM.     

Causes of mid-Pliocene strengthened summer and weakened winter monsoons over East Asia

The mid-Pliocene warm period was the most recent geological period in Earth's history that featured long-term warming.Both geological evidence and model results indicate that East Asian summer winds(EASWs) strengthened in monsoonal China, and that East Asian winter winds(EAWWs) weakened in northern monsoonal China during this period, as compared to the pre-industrial period. However, the corresponding mechanisms are still unclear. In this paper, the results of a set of numerical simulations are reported to analyze the effects of changed boundary conditions on the mid-Pliocene East Asian monsoon climate, based on PRISM3(Pliocene Research Interpretation and Synoptic Mapping) palaeoenvironmental reconstruction. The model results showed that the combined changes of sea surface temperatures, atmospheric CO2 concentration,and ice sheet extent were necessary to generate an overall warm climate on a large scale, and that these factors exerted the greatest effects on the strengthening of EASWs in monsoonal China. The orographic change produced significant local warming and had the greatest effect on the weakening of EAWWs in northern monsoonal China in the mid-Pliocene. Thus,these two factors both had important but different effects on the monsoon change. In comparison, the effects of vegetational change on the strengthened EASWs and weakened EAWWs were relatively weak. The changed monsoon winds can be explained by a reorganization of the meridional temperature gradient and zonal thermal contrast. Moreover, the effect of orbital parameters cannot be ignored. Results showed that changes in orbital parameters could have markedly affected the EASWs and EAWWs, and caused significant short-term oscillations in the mid-Pliocene monsoon climate in East Asia.     

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.     

Characteristics, Processes, and Causes of the Spatio-temporal Variabilities of the East Asian Monsoon System

Recent advances in the study of the characteristics, processes, and causes of spatio-temporal variabilities of the East Asian monsoon (EAM) system are reviewed in this paper. The understanding of the EAM system has improved in many aspects:the basic characteristics of horizontal and vertical structures, the annual cycle of the East Asian summer monsoon (EASM) system and the East Asian winter monsoon (EAWM) system, the characteristics of the spatio-temporal variabilities of the EASM system and the EAWM system, and especially the multiple modes of the EAM system and their spatio-temporal variabilities. Some new results have also been achieved in understanding the atmosphere-ocean interaction and atmosphere-land interaction processes that affect the variability of the EAM system. Based on recent studies, the EAM system can be seen as more than a circulation system, it can be viewed as an atmosphere-ocean-land coupled system, namely, the EAM climate system. In addition, further progress has been made in diagnosing the internal physical mechanisms of EAM climate system variability, especially regarding the characteristics and properties of the East Asia-Pacific (EAP) teleconnection over East Asia and the North Pacific, the "Silk Road" teleconnection along the westerly jet stream in the upper troposphere over the Asian continent, and the dynamical effects of quasi-stationary planetary wave activity on EAM system variability. At the end of the paper, some scientific problems regarding understanding the EAM system variability are proposed for further study.     

东亚夏季风建立前青藏高原地气温差变化特征

利用青藏高原地区112个站1980～2001年和部分站点1960～2000年的气温、地温资料,采用经验正交EOF和旋转经验正交REOF等方法,对东亚夏季风爆发前青藏高原地气温差的变化特征进行分析,并对其与东亚夏季风之间的联系进行了分析.结果表明,青藏高原地气温差一般超前气温、地温1个月达到全年最大值,比中国中东部同纬度...     

COMPLEX NETWORK OF EXTREME PRECIPITATION IN EAST ASIA

In order to study the spatial structure and dynamical mechanism of extreme precipitation in East Asia, a corresponding climate network is constructed by employing the method of event synchronization. It is found that the area of East Asian summer extreme precipitation can be separated into two regions: one with high area-weighted connectivity receiving heavy precipitation mostly during the active phase of the East Asian Summer Monsoon(EASM),and another one with low area-weighted connectivity receiving heavy precipitation during both the active and the retreating phase of the EASM. Besides, a new way for the prediction of extreme precipitation is also developed by constructing a directed climate networks. The simulation accuracy in East Asia is 58% with a 0-day lead, and the prediction accuracy is 21% and average 12% with a 1-day and an n-day(2≤n≤10) lead, respectively. Compared to the normal EASM year, the prediction accuracy is low in weak years and high in strong years, which is relevant to the differences of correlations and extreme precipitation rates in different EASM situations. Recognizing and indentifying these effects is good for understanding and predicting extreme precipitation in East Asia.     

An Index of East Asian Winter Monsoon Applied to the Description of China's Mainland Winter Temperature Changes

Using the NCEP/NCAR reanalysis data （Version 1.0） and the observation data of China from January 1951 to February 2007, a new index of East Asian winter monsoon circulation （I EAWM） was defined based on the comparison of previous different winter monsoon indices and circulation factors influencing the winter climate over China. Its relationships with winter temperature over China and large-scale circulation were analyzed. Results show that IEAWM can successfully describe the variation of China＇s mainland winter temperature and the East Asian winter monsoon （EAWM） system. This index reflects the integrated effect of the circulations over high and low latitudes and the thermal difference between the continent and the ocean. While in the previous studies, most monsoon indices only describe the single monsoon member. The IEAWM is a good indicator of the intensity of the EAWM. Positive values of/EAWM correspond to the strong EAWM, the stronger Siberian high and East Asian trough than normal , and the strengthening of the meridional shear of 500-hPa zonal wind between high and low latitudes over East Asia, and therefore, the southward cold advection becomes stronger and leads to the decrease in surface temperature over China; and vice versa. The IEAWM inter decadal change is obviously positive before the mid-1980s, but negative since the mid-1980s, in good agreement with the fact of the winter warming in China after 1985.     

气候变暖背景下中国地面风速变化研究进展

气候变暖背景下,中国地面风速在过去几十年整体呈减弱趋势,对风能资源开发产生了显著影响。近50年来,中国地面风速平均减小速率为0.10~0.22 m·s-1/（10 a）,但存在明显的季节、区域和风速段差异。作为地面风的主要驱动力,对流层低层气压梯度力整体呈减弱趋势,这主要是全球变暖背景下欧亚大陆与西太平洋之间以及欧亚大陆高/低纬度地区之间的热力差异减弱所致。东亚季风的年代际变化特征和地面风速变化密切相关,其变率受到不同时间和空间尺度气候因子的影响,其中西伯利亚高压减弱是东亚冬季风减弱的主要因素,而东亚夏季风的年代际减弱主要是由于太平洋年代际振荡与北大西洋多年代尺度振荡分别向暖/冷相位的转换。研究表明:未来随着温室气体排放量增加,中国地面风速减弱趋势将更显著,这将促进低风速风电技术的发展和中低纬度地区风能开发。     

耦合模式FGOALS_s模拟的东亚夏季风

本文评估了中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室的海气耦合模式FGOALS_s对东亚夏季风的模拟能力, 并通过与观测海温强迫下单独大气模式SAMIL试验结果的比较, 分析了海气耦合过程对模式性能的影响。结果表明, FGOALS_s基本能够模拟出东亚夏季风系统的气候态分布及其演变过程, 但也存在明显偏差, 主要表现为模拟的温度场在对流层中上层一致性偏冷, 导致模式中环流系统强度偏弱; 而温度经向梯度模拟的不足, 直接影响到东亚副热带西风急流的模拟。通过与观测海温强迫下SAMIL模拟结果的对比发现, SAMIL模拟的温度场、 环流场以及风场较之耦合模式结果更接近观测, 但也存在与FGOALS_s类似的模式偏差。因此, 大气模式固有的偏差对耦合模式的模拟偏差有重要影响。分析发现, 对于西太平洋降水的模拟而言, 耦合模式结果更加合理, 表明海气相互作用过程对模式性能有重要影响。本文的结果表明, 大气模式自身的误差是导致耦合模式误差的主要原因。通过更新云－辐射模块改进大气模式模拟的温度场, 应是FGOALS_s后续发展的首要工作。     

Late Holocene Asian summer monsoon dynamics from small but complex networks of paleoclimate data

Internal variability of the Asian monsoon system and the relationship amongst its sub-systems, the Indian and East Asian Summer Monsoon, are not sufficiently understood to predict its responses to a future warming climate. Past environmental variability is recorded in Palaeoclimate proxy data. In the Asian monsoon domain many records are available, e.g. from stalagmites, tree-rings or sediment cores. They have to be interpreted in the context of each other, but visual comparison is insufficient. Heterogeneous growth rates lead to uneven temporal sampling. Therefore, computing correlation values is difficult because standard methods require co-eval observation times, and sampling-dependent bias effects may occur. Climate networks are tools to extract system dynamics from observed time series, and to investigate Earth system dynamics in a spatio-temporal context. We establish paleoclimate networks to compare paleoclimate records within a spatially extended domain. Our approach is based on adapted linear and nonlinear association measures that are more efficient than interpolation-based measures in the presence of inter-sampling time variability. Based on this new method we investigate Asian Summer Monsoon dynamics for the late Holocene, focusing on the Medieval Warm Period (MWP), the Little Ice Age (LIA), and the recent period of warming in East Asia. We find a strong Indian Summer Monsoon (ISM) influence on the East Asian Summer Monsoon during the MWP. During the cold LIA, the ISM circulation was weaker and did not extend as far east. The most recent period of warming yields network results that could indicate a currently ongoing transition phase towards a stronger ISM penetration into China. We find that we could not have come to these conclusions using visual comparison of the data and conclude that paleoclimate networks have great potential to study the variability of climate subsystems in space and time.     

青藏高原夏季风强弱变化及其对亚洲地区降水和环流的影响——2008年个例分析

利用2008年多种台站观测和再分析资料,通过相关分析和合成分析,详细讨论了青藏高原夏季风季节内变化及其与印度夏季风和东亚夏季风降水之间的关系.结果表明:2008年高原夏季风爆发偏早,降水偏多,季风活动有明显的季节内振荡特征、其准双周振荡特征与东亚夏季风指数和印度全区降水振荡周期相似.高原夏季风强(弱)时,印度全区及我国...     

Analysis of the Decadal and Interdecadal Variations of the East Asian Winter Monsoon as Simulated by 20 Coupled Models in IPCC AR4

Using the output data of 20 coupled climate models used in IPCC AR4 and observational data from NCEP, the capability of the models to simulate the boreal winter climatology of the East Asian sea level pressure, 850-hPa wind, and surface air temperature; the decadal variations of the East Asian winter mon- soon (EAWM) intensity and EAWM-related circulation, and the interdecadal variations of EAWM-related circulation are systematically evaluated. The results indicate that 16 models can weakly simulate the declin- ing trend of the EAWM in the 1980s. More than half of the models produce relatively reasonable decadal variations of the EAWM-related circulation and the interdecadal di?erences of EAWM-related circulation between the boreal winters of 1960-1985 and 1986-1998, including the weakened Siberian high, Aleutian low, and East Asian trough, the enhanced Arctic oscillation and North Pacific oscillation, and a deepened polar vortex. It is found that the performance of the multi-selected-model ensemble in reproducing the spatial dis- tribution of the variations is encouraging, although the variational amplitudes are generally smaller than the observations. In addition, it is found that BCCR_BCM2.0, CGCM3.1_T63, CNRM_CM3, CSIRO_MK3.0, GISS-ER, INM_CM3.0, and MRI_CGCM2.3.2 perform well in every aspect     

Atmospheric Circulation Cells Associated with Anomalous East Asian Winter Monsoon

Atmospheric circulation cells associated with anomalous East Asian Winter Monsoon (EAWM) were studied using the 1948/49 to 2002/03 NCEP/NCAR reanalysis and NCAR CAM3 AGCM simulations with monthly global sea surface temperatures from 1950 to 2000. Several atmospheric cells in the Pacific [i.e., the zonal Walker cell (ZWC) in the tropic, the Hadley cell in the western Pacific (WPHC), the midlatitude zonal cell (MZC) over the central North Pacific, and the Hadley cell in the eastern Pacific (EPHC)] are associated with anomalous EAWM. When the EAWM is strong, ZWC, WPHC, and MZC are enhanced, as opposed to EPHC. The anomalous enhanced ZWC is characterized by air parcels rising in the western tropical Pacific, flowing eastward in the upper troposphere, and descending in the tropical central Pacific before returning to the tropical western Pacific. The enhanced MZC has characteristics opposite those of the enhanced ZWC in the central North Pacific. The anomalous WPHC shows air parcels rising in the western Pacific, as in the case of ZWC, followed by flowing northward in the upper troposphere and descending in the west North Pacific, as in the case of the enhanced MZC before returning to the western tropical Pacific. The anomalous EPHC is opposite in properties to the anomalous WPHC. Opposite characteristics are found during the weak EAWM period. The model simulations and the observations show similar characteristics and indicate the important role of sea surface temperature. A possible mechanism is proposed to link interannual variation of EAWM with the central-eastern tropical Pacific sea surface temperature anomaly (SSTA).     

前期热带太平洋次表层海温异常与东亚夏季风的可能联系

利用1979—2012年日本气象厅次表层海温资料和NCEP/NCAR再分析资料,分析了前期冬季热带太平洋次表层海温与东亚夏季风的关系,并讨论了其可能机制。结果表明,前期冬季热带太平洋次表层海温与后期东亚夏季风强弱有显著的相关关系。冬季次表层海温呈现东正西负的类El Nio分布型时,夏季副热带高压偏强,西北太平洋地区受反气旋型环流控制,能将大量的水汽输送到长江和淮河流域,有利于水汽在该区域辐合,为夏季降水偏多创造了条件,此时东亚夏季风活动整体偏弱,反之亦然。但类El Nio分布型对东亚夏季气候变化的影响较类La Nia分布型更显著。此外,冬季热带太平洋次表层海温可能通过其自身能够持续性地影响东亚—太平洋地区的大气环流异常,次表层海温随季节变化有明显的发展和移动趋势:冬季西太平洋暖池次表层冷(暖)海温不断堆积,沿温跃层向东传播使得中东太平洋次表层海温逐渐变冷(暖),冷(暖)海温上翻加强使得海表温度异常,进一步影响到西太平洋副热带高压的位置和强度,并在东亚地区形成经向遥相关波列,通过西北太平洋地区异常反气旋(气旋)环流的作用,影响东亚地区大气环流以及气候变化。     

Prediction of primary climate variability modes at the Beijing Climate Center

Climate variability modes, usually known as primary climate phenomena, are well recognized as the most important predictability sources in subseasonal–interannual climate prediction. This paper begins by reviewing the research and development carried out, and the recent progress made, at the Beijing Climate Center (BCC) in predicting some primary climate variability modes. These include the El Niño–Southern Oscillation (ENSO), Madden–Julian Oscillation (MJO), and Arctic Oscillation (AO), on global scales, as well as the sea surface temperature (SST) modes in the Indian Ocean and North Atlantic, western Pacific subtropical high (WPSH), and the East Asian winter and summer monsoons (EAWM and EASM, respectively), on regional scales. Based on its latest climate and statistical models, the BCC has established a climate phenomenon prediction system (CPPS) and completed a hindcast experiment for the period 1991–2014. The performance of the CPPS in predicting such climate variability modes is systematically evaluated. The results show that skillful predictions have been made for ENSO, MJO, the Indian Ocean basin mode, the WPSH, and partly for the EASM, whereas less skillful predictions were made for the Indian Ocean Dipole (IOD) and North Atlantic SST Tripole, and no clear skill at all for the AO, subtropical IOD, and EAWM. Improvements in the prediction of these climate variability modes with low skill need to be achieved by improving the BCC’s climate models, developing physically based statistical models as well as correction methods for model predictions. Some of the monitoring/prediction products of the BCC-CPPS are also introduced in this paper.     

Analysis of the decadal and interdecadal variations of the east asian winter monsoon as simulated by 20 coupled models in IPCC AR4

Using the output data of 20 coupled climate models used in IPCC AR4 and observational data from NCEP, the capability of the models to simulate the boreal winter climatology of the East Asian sea level pressure, 850-hPa wind, and surface air temperature; the decadal variations of the East Asian winter monsoon (EAWM) intensity and EAWM-related circulation, and the interdecadal variations of EAWM-related circulation are systematically evaluated. The results indicate that 16 models can weakly simulate the declining trend of the EAWM in the 1980s. More than half of the models produce relatively reasonable decadal variations of the EAWM-related circulation and the interdecadal differences of EAWM-related circulation between the boreal winters of 1960-1985 and 1986-1998, including the weakened Siberian high, Aleutian low, and East Asian trough, the enhanced Arctic oscillation and North Pacific oscillation, and a deepened polar vortex. It is found that the performance of the multi-selected-model ensemble in reproducing the spatial distribution of the variations is encouraging, although the variational amplitudes are generally smaller than the observations. In addition, it is found that BCCR-BCM2.0, CGCM3.1-T63, CNRM-CM3, CSIRO-MK3.0, GISS-ER, INM-CM3.0, and MRI-CGCM2.3.2 perform well in every aspect.     

东亚夏季风的自然变率——NCARCam3模拟结果分析

利用季节循环的全球观测海表温度及海冰驱动NCARCam3全球大气环流模式的100a模拟结果,通过定义东亚夏季风指数,分析了模拟的大气内部变化中东亚夏季风的变化特征。结果表明：模拟的东亚夏季风自然变率主要表现为3—7a较显著的年际周期,并具有较明显的年代际变化特征。在弱夏季风年代,亚洲大陆海平面气压增强,日本附近及东亚沿海地区海平面气压降低;500hPa位势高度上,欧洲地区为负高度距平,里海附近地区为正高度距平,日本及其以东太平洋为负高度距平,易形成类似欧亚（EU）型的遥相关波列。在强夏季风年代,其环流异常分布基本与弱夏季风年代相反。模拟的东亚夏季风变化与夏季大气内部500hPa高度场上EU型遥相关波列的关系密切。