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1Solar influenced late Holocene temperature changes on the northern Tibetan Plateau显示文摘Considerable efforts have been made to extend temperature records beyond the instrumental period through proxy reconstructions,in order to further understand the mechanisms of past climate variability.Yet,the global coverage of existing temperature records is still limited,especially for some key regions like the Tibetan Plateau and for earlier times including the Medieval Warm Period(MWP).Here we present decadally-resolved,alkenone-based,temperature records from two lakes on the northern Tibetan Plateau.Characterized by marked temperature variability,our records provide evidence that temperatures during the MWP were slightly higher than the modern period in this region.Further,our temperature reconstructions,within age uncertainty,can be well correlated with solar irradiance changes,suggesting a possible link between solar forcing and natural climate variability,at least on the northern Tibetan Plateau.HE YuXin LIU WeiGuo ZHAO Cheng WANG Zheng WANG HuanYe LIU Yi QIN XianYan HU QiHou AN ZhiSheng LIU ZhongHui 2013Chinese Science Bulletin2013,58,9:11
2A high-resolution environmental change record since 19 cal ka BP in Pumoyum Co, southern Tibet显示文摘A 380-cm-long sediment core was acquired from the deep water area of Pumoyum Co, southern Tibet. Twenty-five plant residue samples were selected, and organic carbon stable isotopes were obtained using the AMS 14 C chronological method. The 14 C age and carbon reservoir effect were calibrated with surface sedimentation rate measurements using 210 Pb dating. Results showed that the core sediment deposited over 19 cal ka BP. Based on a multi-proxy analysis of TOC and IC contents, grain size and pollen assemblage data, the palaeoclimatic evolution of Pumoyum Co was reconstructed since the last glacial. Pumoyum Co was a shallow lake prior to 16.2 cal ka BP; although the glacier around the lake began to melt due to increasing temperatures, climate was still cold and dry. In the interval of 16.2-11.8 cal ka BP, the sedimentary environment fluctuated drastically and frequently. Two cold-events occurred at 14.2 and 11.8 cal ka BP, and these may correspond to the Older Dryas and the Younger Dryas events, respectively. After 11.8 cal ka BP, Pumoyun Co developed into the deep lake as it is now. The lake water temperature was relatively lower at that time because of influx of cold water from glacial meltwater entering the lake. As a result, the multi-proxy indicators showed no sign of warm conditions. Comparisons between the sedimentary record of Pumoyum Co with that of other lakes of the same age in southern Tibet indicate a warmer climate following the last deglaciation influenced the southeastern Tibetan Plateau. These results imply that the southwest Asian monsoon gradually became stronger since the deglaciation during its expansion to the inner plateau. The glacial-supplied water of the lake responded sensitively to cold-events. The entire southern Tibet region was dominantly influenced climatically by the southwest Asian monsoon during the Holocene.LU XinMiao ZHU LiPing NISHIMURA Mitsugu MORITA Yoshimune WATANABE Takahiro NAKAMURA Toshio WANG Yong 2011Chinese Science Bulletin2011,56,27:10
3黄河源区阿尼玛卿山耶和龙冰川积雪中不溶微粒组成特征及环境意义显示文摘2005年9月下旬,在黄河源区阿尼玛卿山耶和龙冰川平衡线附近挖取了6个雪坑,固定层厚采集了89个雪冰样品,分析了样品的δ18O值及不溶微粒的浓度、粒径,研究了耶和龙冰川中不溶微粒的时空分布特征及环境意义。结果表明:雪冰样品中不溶微粒浓度平均值为1.1×10^(5)个·mL^(-1),PM_(10)占到总粒子的99%;以微粒数浓度为权重计算的平均粒径分布在1.1~1.8μm之间,说明耶和龙冰川积雪中不溶微粒以细粒子为主;不溶微粒的粒度谱分布不符合正态分布规律,粒子浓度的众数出现在小粒径;微粒源区输入和大气环流强度是控制积雪中不溶微粒特征的主要因素。源区输入和风场强度均较大时,积雪中不溶微粒浓度及粒径均较大;源区输入较弱而风场强度较大时,积雪中微粒浓度有所增加,粒径增加更加显著。结合HYSPLIT-4模式研究发现,在耶和龙冰川积雪中不溶微粒的浓度及粒径随雪坑深度的变化可以反映气团强度的季节变化,夏季降水增加使微粒的季节变化更加显著。西风携带的塔克拉玛干沙漠和中亚干旱区尘埃是耶和龙冰川春、秋季节积雪中不溶微粒的重要来源。武小波 李全莲 贺建桥 2021冰川冻土2021,43,6:2
4Reconstruction of the Northern Hemisphere temperature from 1500 to 1949 by optimal regional averaging method显示文摘The rareness and inhomogeneity of the data points cause difficulties in the reconstruction of past average temperature. Optimal regional averaging is a method that can overcome these difficulties and obtain the average temperature of target area by means of optimal weights using limited temperature data. In this paper, the average temperature in the Northern Hemisphere is calculated by the optimal regional averaging method using two types of data: temperature data from Climatic Research Unit from 1901 to 2000 and maximum latewood density dataset of tree from 1500 to 1949. Five, ten, fifteen data points from CRU and forty data points from MXD are used in our research. The results show that even with the relatively less data used in this reconstruction, the method allows the reconstruction of the average temperature of the Northern Hemisphere more accurately, which provides the temperature information for palaeoclimate reconstruction.Cong Wang Ning Huang Jing Guo Bao Yang 2014Chinese Science Bulletin2014,59,34:0
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