柴达木盆地晚中新世河湖相沉积物粒度组成及其古环境意义

本文应用沉积物粒度端元分析模型对柴达木盆地怀头他拉剖面开放湖相沉积物进行分离,得到4个具有现实环境意义的端元组分,分别代表 4种动力过程。端元1为河流沉积,端元2、3都为湖相沉积,端元4为三角洲沉积。这些成分含量在晚中新世的变化趋势不明显但变化幅度相对较大,表明柴达木盆地这套地层记录了沉积环境或气候的快速变化。尽管怀头他拉粒度变化趋势总体不明显,然而平均粒径在约8.3~7.0Ma期间有所降低,指示当时亚洲季风可能发生了增强,导致柴达木古湖面积扩大,到达研究站点沉积物的粒度变细。东亚和南亚地区古气候数据合成支持这一推论,由此我们推断亚洲大陆在约8.3~7.0Ma期间气候相对较湿润,是青藏高原隆升的一个直接反应;而7Ma以后气候变干可能反映了大气CO₂含量下降的驱动。轨道尺度研究表明柴达木盆地气候在约8.3~7.0Ma期间发生了较大幅度的变化,支持青藏高原隆升是气候变化放大器的观点。

     

内蒙古中东部查干淖尔湖流域7000年以来的气候演变

内蒙古中东部处于亚洲季风与西风带的过渡带上,对于季风强弱以及全球气候变化响应敏感。本文以内蒙古中东部查干淖尔湖为研究对象,采用该湖沉积剖面的AMS ¹⁴C测年、烧失量、粒度及端元组分等指标的分析,重建了近7000年以来内蒙古中东部地区的气候演变序列。结果表明,千年尺度上,7000年以来研究区气候逐步变干,但6900~5800cal.a B.P.和4500~2000cal.a B.P.期间气候相对湿润,5800~4500cal.a B.P.和2000~0cal.a B.P.时期气候干旱。中晚全新世以来千年尺度上的气候总体变干,与太阳辐射的逐步降低引起的东亚季风的减弱有关。百年尺度上,查干淖尔湖经历了5次较为明显的干旱事件,分别发生于5800~4700cal.a B.P.、3500~3100cal.a B.P.、2600~2100cal.a B.P.、1700~1200cal.a B.P.和560~370cal.a B.P.,这些干旱事件的发生,在定年误差范围内,与太阳活动减弱事件和北大西洋冰漂碎屑事件基本一致,表明百年尺度上东亚季风强度的变化受北半球高纬气候和太阳活动的共同影响。

     

晚新生代黄土高原风尘序列的粒度和沉积速率与中国北方大气环流演变

文章以风尘沉积的粗粒和细粒组分与季风和西风环流的联系为基础,利用黄土高原中部的洛川剖面、西峰剖面和灵台剖面的粒度和沉积速率记录,讨论了晚新生代中国北方季风环流和西风环流的演变历史,总结了这一时期大气环流演变的基本规律和大气环流演变的动力机制.研究表明,自8～7Ma风尘沉积发育至5Ma左右,西风环流和季风环流都有减弱的趋势;自5Ma以来,西风环流和季风环流的强度都在逐步加强;与此同步,季风环流对风尘沉积的贡献增加,而西风环流对风尘的贡献逐渐减小,这一逐渐发展的大气环流趋势与北半球高纬冰盖的逐步发展有关;大气环流的这种趋势变化在8～7Ma,3.4Ma和1.2～0.9Ma这几个时期存在着突变,可能反映了青藏高原的阶段性隆升对中国北方季风环流演化的决定性作用以及对西风环流结构和强度的重要影响.中国北方大气环流在轨道尺度变化的基本特征是,低空季风环流在冰期加强,在间冰期减弱.西风环流和季风环流在冰期和间冰期的强度和格局可能主要与全球冰量的基本状况和青藏高原原面的性质有关.黄土高原的风尘记录在万年尺度和千年尺度的气候事件上都表现出相当明显的区域差异,可能主要与局部地形的大气环流效应有关.     

Monsoonal precipitation variation in the East Asia since A.D. 1840

Three tree-ring rainfall reconstructions from China and Korea are used in this paper to investigate the East Asian summer monsoon-related precipitation variation over the past 160 years. Statistically, there is no linear correlation on a year-by-year basis between Chinese and Korean monsoon rainfall, but region-wide synchronous variation on a decadal-scale was observed. More rainfall intervals were 1860–1890, 1910–1925, and 1940–1960, and dry or even drought periods were 1890–1910, 1925–1940, and 1960–present. Reconstructions also display that the East Asian summer monsoon precipitation suddenly changed from more into less around mid-1920. These tree-ring precipitation records were also confirmed by Chinese historical dryness/wetness index and Korean historical rain gauge data.     

云南丽江树轮δ18O记录的大气环流变化信息

通过对云南玉龙雪山丽江冷杉年轮晚材纤维素氧同位素 (δ¹⁸O) 的分析,建立了1902-2004时段年分辨率的树轮δ¹⁸O序列。将所得序列与相邻的丽江市气象站记录的气候资料对比,分析了树轮δ¹⁸O对气候要素的响应。结果表明,丽江冷杉年轮晚材中的δ¹⁸O与其生长季气候因子密切相关。主要与季风期 (8-10月) 的降水和相对湿度、6-10月总云量、5-6月平均温度显著相关,尤其和总云量相关性最高 (r = -0.45,P = 0.01)。同时,树轮δ¹⁸O年际变化与南亚季风指数、东亚夏季风指数呈反相关关系,并与1-5月南方涛动指数负相关显著,在一定程度上反映了大尺度的大气环流影响。     

Prediction of the Asian-Australian Monsoon Interannual Variations with the Grid-Point Atmospheric Model of IAP LASG （GAMIL）

Seasonal prediction of Asian-Australian monsoon （A-AM） precipitation is one of the most important and challenging tasks in climate prediction. In this paper, we evaluate the performance of Grid Atmospheric Model of IAP LASG （GAMIL） on retrospective prediction of the A-AM interannual variation （IAV）, and determine to what extent GAMIL can capture the two major observed modes of A-AM rainfall IAV for the period 1979-2003. The first mode is associated with the turnabout of warming （cooling） in the Nifio 3.4 region, whereas the second mode leads the warming/cooling by about one year, signaling precursory conditions for ENSO.
We show that the GAMIL one-month lead prediction of the seasonal precipitation anomalies is primarily able to capture major features of the two observed leading modes of the IAV, with the first mode better predicted than the second. It also depicts the relationship between the first mode and ENSO rather well. On the other hand, the GAMIL has deficiencies in capturing the relationship between the second mode and ENSO. We conclude： （1） successful reproduction of the E1 Nifio-excited monsoon-ocean interaction and E1 Nifio forcing may be critical for the seasonal prediction of the A-AM rainfall IAV with the GAMIL; （2） more efforts are needed to improve the simulation not only in the Nifio 3.4 region but also in the joining area of Asia and the Indian-Pacific Ocean; （3） the selection of a one-tier system may improve the ultimate prediction of the A-AM rainfall IAV. These results offer some references for improvement of the GAMIL and associated seasonal prediction skill.     

关于东亚副热带季风和热带季风的再认识

利用NCEP/NCAR再分析数据集和CMAP(Climate Prediction Center Merged Analysis of Precipitation)降水资料, 分析了东亚副热带夏季风与热带夏季风的区别和联系, 以及两者相互作用问题, 深入讨论了东亚副热带季风的本质。分析发现东亚副热带夏季风建立早于热带夏季风, 于3月中旬已经开始建立。两者是相互独立的两个过程, 前者并非是后者向北推进的结果;相反, 前者建立后的突然南压有利于后者的爆发。副热带夏季风为渐进式建立, 但撤退迅速;热带夏季风爆发突然, 但撤退缓慢。副热带夏季风的建立以偏南风的建立为特征, 而热带夏季风的建立以偏东风向偏西风转变为特征。热带夏季风的建立时间取决于经向海陆热力差异转向, 而东亚副热带夏季风则更依赖于纬向海陆热力差异的逆转。亚洲大陆（含青藏高原）与西太平洋之间的纬向海陆热力差异的季节逆转无论对东亚副热带夏季风还是热带夏季风均有重要作用。     

一个适用于描述中国大陆冬季气温变化的东亚冬季风指数

利用1951年1月-2007年2月的NCEP V1格点资料和中国台站观测资料,定义了一个冬季风环流指数(IEAWM),并分析其与中国冬季气温和东亚大气环流变化的联系.结果表明该指数能够很好地反映东亚冬季风系统各成员的变化,兼顾北方和南方的环流状况和东西部热力差异的影响,改进了原有冬季风指数大多针对单一的冬季风环流成员及对中国冬季气温变化反映能力的不足,能够很好地反映中国冬季平均气温的异常变化.分析表明,当该指数为正值时东亚冬季风偏强,对应着地面西伯利亚高压和高空东亚大槽均偏强,东亚地区对流层中层的高-低纬度之间的纬向风经向切变加强,有利于中高纬度冷空气向南侵入,导致中国大陆地区气温偏低,反之亦然.IEAWM的年代际变化表明东亚冬季风在1985年之前偏强,1985年之后明显偏弱,这与1985年之后中国冬季变暖是一致的.     

Interannual and decadal variations of snow cover over Qinghai-Xizang Plateau and their relationships to summer monsoon rainfall in China

Interannual and decadal variations of winter snow cover over the Qinghai-Xizang Plateau (QXP) are analyzed by using monthly mean snow depth data set of 60 stations over QXP for the period of 1958 through 1992. It is found that the winter snow cover over QXP bears a pronounced quasi-biennial oscillation, and it underwent an obvious decadal transition from a poor snow cover period to a rich snow cover period in the late 1970’s during the last 40 years.It is shown that the summer rainfall in the eastern China is closely associated with the winter snow cover over QXP not only in the interannual variation but also in the decadal variation. A clear relationship exists in the quasi-biennial oscillation between the summer rainfall in the northern part of North China and the southern China and the winter snow cover over QXP. Furthermore, the summer rainfall in the four climate divisions of Qinling-Daba Mountains, the Yangtze-Huaihe River Plain, the upper and lower reaches of the Yangtze River showed a remarkable transition from drought period to rainy period in the end of 1970’s, in good correspondence with the decadal transition of the winter snow cover over QXP.     

Local meteorology in a northern Himalayan valley near Mount Everest and its response to seasonal transitions

An automatic weather station(AWS) has been installed at the Qomolangma Station of the China Academy of Sciences(QOMS) since 2005, in a northern Himalayan valley near Mount Everest, with an altitude of 4,270 m a.s.l.. Nine years of meteorological records(2006–2014) from the automatic weather station(AWS) were analyzed in this study, aiming to understand the response of local weather to the seasonal transition on the northern slopes of Mount Everest, with consideration of the movement of the subtropical jet(STJ) and the onset of the Indian Summer Monsoon(ISM). We found:(1) Both the synoptic circulation and the orography have a profound influence on the local weather, especially the local circulation.(2) Southwesterly(SW) and southeasterly(SE) winds prevail alternately at QOMS in the afternoon through the year. The SW wind was driven by the STJ during the non-monsoon months, while the SE was induced by the trans-Himalayan flow through the Arun Valley, a major valley to the east of Mount Everest, under a background of weak westerly winds aloft.(3) The response of air temperature(T) and specific humidity(q) to the monsoon onset is not as marked as that of the nearsurface winds. The q increases gradually and reaches a maximum in July when the rainy period begins.(4) The alternation between the SW wind at QOMS and the afternoon SE wind in the pre-monsoon season signals the northward shift of the STJ and imminent monsoon onset. The average interval between these two events is 14 days.