The Influence of Tibetan Plateau on the Interannual Variability of Asian Monsoon

ＴｈｅＩｎｆｌｕｅｎｃｅｏｆＴｉｂｅｔａｎＰｌａｔｅａｕｏｎｔｈｅＩｎｔｅｒａｎｎｕａｌＶａｒｉａｂｉｌｉｔｙｏｆＡｓｉａｎＭｏｎｓｏｏｎ①ＷｕＡｉｍｉｎｇ（吴爱明）ａｎｄＮｉＹｕｎｑｉ（倪允琪）ＤｅｐａｒｔｍｅｎｔｏｆＡｔｍｏｓｐｈｅｒｉｃＳｃｉｅ...     

Climatology and Interannual Variability of the Southeast Asian Summer Monsoon

ＣｌｉｍａｔｏｌｏｇｙａｎｄＩｎｔｅｒａｎｎｕａｌＶａｒｉａｂｉｌｉｔｙｏｆｔｈｅＳｏｕｔｈｅａｓｔＡｓｉａｎＳｕｍｍｅｒＭｏｎｓｏｏｎＫ．－Ｍ．ＬａｕＬａｂｏｒａｔｏｒｙｆｏｒＡｔｍｏｓｐｈｅｒｅｓ，Ｃｏｄｅ９１３，ＮＡＳＡ－ＧｏｄｄａｒｄＳｐａｃ...     

Impacts of Coastal SST Variability on the East Asian Summer Monsoon

The impacts of the seasonal and interannual SST variability in the East Asia coastal regions （EACRSST） on the East Asian summer monsoon （EASM） have been examined using a regional climate model （PδRCM9） in this paper. The simulation results show that the correlation between the EACRSST and the EASM is strengthened after the mid-1970s and also the variability of the EACRSST forcing becomes much more important to the EASM interannual variability after the mid-1970s. The impacts of the EACRSST on the summer precipitation over each sub-region in the EASM region become weak gradually from south to north, and the temporal evolution features of the summer precipitation differences over North and Northeast China agree well with those of the index of EASM （IEASM） differences.
The mechanism analyses show that different EACRSST forcings result in the differences of sensible and latent heat flux exchanges at the air-sea interface, which alter the heating rate of the atmosphere. The heating rate differences induce low level air temperature differences over East Asia, resulting in the differences of the land-sea thermal contrast （LSTC） which lead to 850 hPa geopotential height changes. When the 850 hPa geopotential height increases over the East Asian continent and decreases over the coast of East China and the adjacent oceans during the weakening period of weakens consequently. On the contrary, the EASM enhances during the strengthening period of the LSTC.     

The Variability of the Interannual Oscillations of the Indian Summer Monsoon Rainfall

A new method of analysis namely, Singular Spectrum Analysis (SSA) is applied to the Indian Summer Monsoon (June-September) Rainfall (ISMR) series. The method is efficient in extracting the statistically significant oscillations with periods 2.8 and 2.3 year from the white noise of the ISMR series. The study shows that 2.8 / 2.3 year cycle captures the variability of the ISMR related to Southern Oscillation / Quasi Biennial Oscillation. The temporal structure of these oscillations show that these are in phase in extreme (excess and drought) monsoon conditions as well as in El Nino Southern Oscillation (ENSO) years. Both these oscillations show minimum variability during the period 1920-1940 and there is an increasing trend in the variability of these oscillations in the recent decades. The study enables to obtain pure signal consisting of reconstructed time series using these two Oscillations, from the original white noise series.     

Numerical Study for Characteristic Change of Asian Summer Monsoon Circulation and Its Influence Mechanism during the EI Nino Period

In this paper, the relation between Asian summer monsoon circulation and sea surface temperature anomalies over equatorial central-eastern Pacific is investigated by using a global spectral model. This model has nine layers in the vertical and the model variables are represented in the horizontal as truncated expansions of the surface spherical harmonics with rhomboidal truncation at wave number 15. The model involves comparatively complete physical processes and parameterizations with mountains.Using the above model, two experimental schemes are designed, namely control case and anomalous sea surface temperature case. The above two schemes are respectively integrated for forty days and the simulated results are obtained from the last 30-day averaged simulations.The simulations show that positive SST anomalies over equatorial central-eastern Pacific weakens Indian monsoon circulation,decreases precipitation in Indian sub-continent whereas it intensifies East Asian monsoon circulation and increases preci     

Interannual Variability of the Normalized Difference Vegetation Index on the Tibetan Plateau and Its Relationship with Climate Change

The Qinghai-Xizang Plateau, or Tibetan Plateau, is a sensitive region for climate change, where the manifestation of global warming is particularly noticeable. The wide climate variability in this region significantly affects the local land ecosystem and could consequently lead to notable vegetation changes. In this paper, the interannual variations of the plateau vegetation are investigated using a 21-year normalized difference vegetation index （NDVI） dataset to quantify the consequences of climate warming for the regional ecosystem and its interactions. The results show that vegetation coverage is best in the eastern and southern plateau regions and deteriorates toward the west and north. On the whole, vegetation activity demonstrates a gradual enhancement in an oscillatory manner during 1982-2002. The temporal variation also exhibits striking regional differences： an increasing trend is most apparent in the west, south, north and southeast, whereas a decreasing trend is present along the southern plateau boundary and in the central-east region. Covariance analysis between the NDVI and surface temperature/precipitation suggests that vegetation change is closely related to climate change. However, the controlling physical processes vary geographically. In the west and east, vegetation variability is found to be driven predominantly by temperature, with the impact of precipitation being of secondary importance. In the central plateau, however, temperature and precipitation factors are equally important in modulating the interannual vegetation variability.     

The Influence of Tibetan Plateau on the Interannual Variability of Atmospheric Circulation over Tropical Pacific

ＴｈｅＩｎｆｌｕｅｎｃｅｏｆＴｉｂｅｔａｎＰｌａｔｅａｕｏｎｔｈｅＩｎｔｅｒａｎｎｕａｌＶａｒｉａｂｉｌｉｔｙｏｆＡｔｍｏｓｐｈｅｒｉｃＣｉｒｃｕｌａｔｉｏｎｏｖｅｒＴｒｏｐｉｃａｌＰａｃｉｆｉｃＷｕＡｉｍｉｎｇ（吴爱明）ａｎｄＮｉＹｕｎｑｉ（倪允琪...     

Reappraisal of Asian Summer Monsoon Indices and the Long-Term Variation of Monsoon

The Webster and Yang monsoon index (WYI)-the zonal wind shear between 850 and 200 hPa was calculated and modified on the basis of NCEP/NCAR reanalysis data. After analyzing the circulation and divergence fields of 150-100 and 200 hPa, however, we found that the 200-hPa level could not reflect the real change of the upper-tropospheric circulation of Asian summer monsoon, especially the characteristics and variation of the tropical easterly jet which is the most important feature of the upper-tropospheric circulation. The zonal wind shear U850-U(150 100) is much larger than U850-U200, and thus it can reflect the strength of monsoon more appropriately. In addition, divergence is the largest at 150 hPa rather than 200 hPa, so 150 hPa in the upper-troposphere can reflect the coupling of the monsoon system. Therefore, WYI is redefined as DHI, i.e., IDH=U850* - U(150 100)*, which is able to characterize the variability of not only the intensity of the center of zonal wind shear in Asia, but also the monsoon system in the upper and lower troposphere. DHI is superior to WYI in featuring the long-term variation of Asian summer monsoon as it indicates there is obvious interdecadal variation in the Asian summer monsoon and the climate abrupt change occurred in 1980. The Asian summer monsoon was stronger before 1980 and it weakened after then due to the weakening of the easterly in the layer of 150-100 hPa, while easterly at 200 hPa did not weaken significantly. After the climate jump year in general, easterly in the upper troposphere weakened in Asia, indicating the weakening of summer monsoon; the land-sea pressure difference and thermal difference reduced, resulting in the weakening of monsoon; the corresponding upper divergence as well as the water vapor transport decreased in Indian Peninsula, central Indo-China Peninsula, North China, and Northeast China, indicating the weakening of summer monsoon as well. The difference between NCEP/NCAR and ERA-40 reanalysis data in studying the intensity and long-term variation of Asian summer monsoon is also compared in the end for reference.     

Interannual to Decadal Variability of the Winter Aleutian LowIntensity During 1900–2004

A new winter Aleutian Low (AL) intensity index was defined in this paper. A centurial-long time seriesof this index was constructed using the sea level pressure (SLP) data of nearly 100 years. The featuresof interannual and decadal variability of the winter AL intensity since 1900 were analyzed by applyingthe wavelet analysis. The relationship between the winter AL intensity and atmospheric circulation wasexamined. The cross-wavelet analysis technique was used to further reveal the relationship between the ALintensity and sea surface temperature (SST) in the equatorial eastern Pacific (EEP) and tropical IndianOcean (TIO) in winter. The results indicate that: 1) On the interannual timescale, the winter AL intensitydisplays 3–7-yr oscillations, while on the decadal timescale, 8–10-yr and 16–22-yr oscillations are moreobvious. 2) Of the linkage to atmospheric circulation, both AO (Arctic Oscillation) and PNA (Pacific NorthAmerica pattern) are closely associated with winter AL intensity on the interannual timescale, but onlyPNA contributes to the variation of winter AL intensity on the decadal timescale. 3) As to the oceanimpact, winter EEP SST is a major factor affecting the winter AL intensity on the interannual timescale,especially on the 3–7-yr periods. However, on the decadal timescale, though both the TIO and EEP SSTsare associated with the AL intensity in winter, the TIO SST impact is more significant     

An Introduction to the Integrated Climate Model of the Center for Monsoon System Research and Its Simulated Influence of El Ni?no on East Asian–Western North Pacific Climate

This study introduces a new global climate model—the Integrated Climate Model(ICM)—developed for the seasonal prediction of East Asian–western North Pacific(EA–WNP) climate by the Center for Monsoon System Research at the Institute of Atmospheric Physics(CMSR, IAP), Chinese Academy of Sciences. ICM integrates ECHAM5 and NEMO2.3 as its atmospheric and oceanic components, respectively, using OASIS3 as the coupler. The simulation skill of ICM is evaluated here, including the simulated climatology, interannual variation, and the influence of El Nińo as one of the most important factors on EA–WNP climate. ICM successfully reproduces the distribution of sea surface temperature(SST) and precipitation without climate shift, the seasonal cycle of equatorial Pacific SST, and the precipitation and circulation of East Asian summer monsoon. The most prominent biases of ICM are the excessive cold tongue and unrealistic westward phase propagation of equatorial Pacific SST. The main interannual variation of the tropical Pacific SST and EA–WNP climate—El Nińo and the East Asia–Pacific Pattern—are also well simulated in ICM, with realistic spatial pattern and period. The simulated El Nińo has significant impact on EA–WNP climate, as in other models. The assessment shows ICM should be a reliable model for the seasonal prediction of EA–WNP climate.     

The interannual variability of East Asian Winter Monsoon and its relation to the summer monsoon

1.IntroductionOvertheEastAsiaregion,themostprominentsurfacefeatureofthewintermonsoonisstrongnortheasterliesalongtheeastflankoftheSiberianhighandthecoastofEastAsia.At500hPathereisabroadtroughcenteredaboutatthelongitudesofJapan.Thedominantfea-tureat2O0hPaistheEastAsianjetwithitsmaximumlocatedatjustsoutheastofJapan.Thisktisassociatedwithintensebaroclinicity,largeverticalwindshearandstrongadvectionofcoldair(StaffmembersofAcademiaSinica,l957,LauandChang,1987;BoyleandChen,1987;Chenetal.,1991…     

Predictability of the East Asian winter monsoon interannual variability as indicated by the DEMETER CGCMS

The interannual variability of East Asian winter monsoon(EAWM) circulation from the Development of a European Multi-Model Ensemble(MME) System for Seasonal to Inter-Annual Prediction(DEMETER) hindcasts was evaluated against observation reanalysis data.We evaluated the DEMETER coupled general circulation models(CGCMs)’ retrospective prediction of the typical EAWM and its associated atmospheric circulation.Results show that the EAWM can be reasonably predicted with statistically significant accuracy,yet the major bias of the hindcast models is the underestimation of the related anomalies.The temporal correlation coefficient(TCC) of the MME-produced EAWM index,defined as the first EOF mode of 850hPa air temperature within the EAWM domain(20-60 N,90-150 E),was 0.595.This coefficient was higher than those of the corresponding individual models(range:0.39-0.51) for the period 1969-2001;this result indicates the advantage of the super-ensemble approach.This study also showed that the ensemble models can reasonably reproduce the major modes and their interannual variabilities for sea level pressure,geopotential height,surface air temperature,and wind fields in Eurasia.Therefore,the prediction of EAWM interannual variability is feasible using multimodel ensemble systems and that they may also reveal the associated mechanisms of the EAWM interannual variability.     

东亚冬季风指数的对比分析及其与中国冬季气候的关系

利用1951—2022年ERA5再分析大气环流资料和国家气候中心全国站点气温和降水资料,将33个常用的东亚冬季风（EAWM）指数划分为海陆差异类、高压特征类、大槽特征类、低层风场类、中高层风场类和综合类6类,按类别对比分析了它们的线性变化趋势和年际、年代际变化特征,并就各指数对中国冬季气温、降水时空变化的表征能力以及与厄尔尼诺-南方涛动（ENSO）、北极涛动（AO）等气候系统主要内部变率的关系进行了评估分析。结果显示：（1）在趋势变化方面,中国冬季气候暖湿化特征明显,但仅大槽特征类和综合类指数反映出季风的减弱趋势,其余类型指数则多呈现微弱的增强趋势,表明EAWM各子成员对当前全球变暖的响应存在差异;（2）在年际、年代际变化方面,EAWM指数主要表现为准4 a、准8 a和准16 a的周期振荡,基本都能刻画出20世纪80年代中后期EAWM的年代际减弱,对于21世纪第1个10年中期EAWM的年代际增强,考虑了南北气压差的海陆差异类指数以及高压特征类、大槽特征类和中高层风场类指数能较好表征;（3）在反映中国冬季气温变率的能力方面,除低层风场类指数外,各类指数表现良好,尤其是高压特征类指数的表征能力最佳,而在降水变率方面,高压特征类指数的代表性较差,低层风场类指数的指示意义最好;（4）在与气候系统主要内部变率的关系方面,大多数指数能较好反映ENSO与EAWM之间的关系,其中低层风场类指数的表征能力最好。而在反映AO与EAWM的关系上,则是高压特征类和大槽特征类指数的表现更佳。总体而言,除趋势变化存在较大差异外,各类EAWM指数能够一致地反映中国冬季气候变化的主要特征,但不同类别指数所表征的侧重点存在差异。因此,在分析EAWM相关科学问题时应根据研究的目的选择合适的指数。

     

The interannual variability of East Asian Monsoon and its relationship with SST in a coupled Atmosphere-Ocean-Land climate model

1.IntroductionThelargestinterannualvariabilityassociatedwiththeENSOcycleexistsinmonsoonregionsliketheAfricanmonsoon,Australianmonsoon,Pan--AmericanmonsoonandAsianmonsoon(RopelewskiandHalpert,1987;WebsterandYang,1992;JuandSlingo,1995).OnebasicquestionishowtorepresenttheAsianmonsoonanditsvariability.WebsterandYang(1992)foundareasonableindexbyaveragingthezonalwindshearbetween850hpaand200hpaovertheSouthAsianregion(40--110E,0--20N)todescribetheSouthAsianmonsooncirculationanditsvariability.…     

BCC大气环流模式对亚澳季风年际变率主导模态的模拟

利用观测海温驱动下的北京气候中心大气环流模式(BCC-AGCM)1979-2000年的模拟数据,从亚澳季风(A-AM)年际变率的角度,对该模式的性能进行了分析.通过季节依赖的EOF分析方法(SEOF)得到观测第1模态,与ENSO从暖位相向冷位相的转变相联系,并伴随东南印度洋和西北太平洋的降水异常随季节变化.该模态具有准2a和4-6a周期的谱峰.分析结果显示,BCC模式可以很好地模拟出第1模态的时间变化特征,及其与ENSO位相的同步关系.但是,模式模拟的降水空间型与观测存在偏差,这主要是由于模式对环流场模拟的偏差造成的,具体表现在西北太平洋(WNP)反气旋和南印度洋(SIO)反气旋的季节锁相模拟偏差.前者与模式模拟的环流场整体偏东有关,后者是由于SIO反气旋的发展和衰亡过程受印度洋局地海气相瓦作用影响,而单独大气模式则无法合理地反映这一过程.另外,模式模拟的第一模态降水空间型在夏季效果较差,原因在于模式模拟的夏季平均降水量存在偏差,尤其是东南印度洋的降水量模拟偏少.进一步分析表明,这可能与对流参数化方案的选择有关.     

冬季东亚大槽强度年际变化及其与中国气候联系的再分析

利用NCEP/NCAR再分析资料以及国家气象局整编的中国160站逐月降水和气温资料,定义了一个北半球冬季500hPa东亚大槽强度指数(I_EAT),并分析了该指数所反映的冬季东亚大槽强度的年际变化规律及其与同期中国冬季降水、气温的关系.结果表明:I_EAT指数反映了对流层中层冬季亚洲大陆高压脊与西北太平洋上空的低压槽系统之间的平均经向风强度,且能够较好地反映冬季东亚大槽的强度.东亚大槽的强度在20世纪80年代之前相对较弱,并存在2-3年和准4年的年际变化周期.冬季东亚大槽强弱变化可能与源自地中海地区的罗斯贝波动能量沿亚洲急流东传有关,且这种西风带中的扰动具有准正压结构.I_EAT指数与青藏高原东部地区的冬季降水和气温相关显着.当I_EAT指数为正(负),东亚大槽偏强(弱),对应着中国华中地区以及华东大部分地区冬季总降水量偏少(多),且华中地区冬季平均气温偏高(低).进一步研究发现,在东亚大槽偏强年,华中地区冬季平均气温异常升高主要是由于异常非绝热加热和下沉运动导致的异常动力增温所致.这些研究结果有助于更好地理解由于东亚大槽强度的变化而导致的中国冬季气候变化特征及其原因.     

东亚冬季风的变化与中国气温异常的关系

分析了近40年(1951—1990年)东亚冬季(12、1、2月)季风的变化及其与中国气温的关系。用两个指标定义冬季风：一个为IWS,表示冬季风的强度,另一个为IWE,表示冬季风向南扩展的程度。IWS的的主要周期为11.0年和2.2年,IWE的主要周期为7.3年和3.1年。IWS与全国气温的关系除西南高原地区外,均为明显负相关。IWE和全国气温的关系与IWS有所不同,高相关区沿东部和南部沿海及长江上游,形成Ｕ形分布。50年代IWS为正,IWE为负,所以我国北方偏冷,但Ｕ形带的气温则偏高。80年代相反,IWS     

Seasonal evolution mechanism of the East Asian winter monsoon and its interannual variability

This study investigates the space–time evolution of the East Asian winter monsoon (EAWM) and its relationship with other climate subsystems. Cyclostationary Empirical Orthogonal Function (CSEOF) analysis and the multiple regression method are used to delineate the detailed evolution of various atmospheric and surface variables in connection with the EAWM. The 120 days of winter (November 17–March 16) per year over 62 years (1948–2010) are analyzed using the NCEP daily reanalysis dataset. The first CSEOF mode of 850-hPa temperatures depicts the seasonal evolution of the EAWM. The contrast in heat capacity between the continent and the northwestern Pacific results in a differential heating in the lower troposphere. Its temporal evolution drives the strengthening and weakening of the Siberian High and the Aleutian Low. The anomalous sea level pressure pattern dictates anomalous circulation, in compliance with the geostrophic relationship. Thermal advection, in addition to net surface radiation, partly contributes to temperature variations in winter. Latent and sensible heat fluxes (thermal forcing from the ocean to the atmosphere) increase with decreased thermal advection. Anomalous upper-level circulation is closely linked to the low-level temperature anomaly in terms of the thermal wind equation. The interannual variability of the seasonal cycle of the EAWM is strongly controlled by the relative strength of the Siberian High to the Aleutian Low. A stronger than normal gradient between the two pressure systems amplifies the seasonal cycle of the EAWM. The EAWM seasonal cycle in the mid-latitude region exhibits a weak negative correlation with the Arctic Oscillation and the East Atlantic/West Russia indices.