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Featured researches published by Lang Zhang.


Theoretical and Applied Climatology | 2015

A 3-year dataset of sensible and latent heat fluxes from the Tibetan Plateau, derived using eddy covariance measurements

Maoshan Li; Wolfgang Babel; Xuelong Chen; Lang Zhang; Fanglin Sun; Binbin Wang; Yaoming Ma; Zeyong Hu; Thomas Foken

The Tibetan Plateau (TP) has become a focus of strong scientific interest due to its role in the global water cycle and its reaction to climate change. Regional flux estimates of sensible and latent heat are important variables for linking the energy and hydrological cycles at the TP’s surface. Within this framework, a 3-year dataset (2008–2010) of eddy covariance measured turbulent fluxes was compiled from four stations on the TP into a standardised workflow: corrections and quality tests were applied using an internationally comparable software package. Second, the energy balance closure (CEB) was determined and two different closure corrections applied. The four stations (Qomolangma, Linzhi, NamCo and Nagqu) represent different locations and typical land surface types on the TP (high altitude alpine steppe with sparse vegetation, a densely vegetated alpine meadow, and bare soil/gravel, respectively). We show that the CEB differs between each surface and undergoes seasonal changes. Typical differences in the turbulent energy fluxes occur between the stations at Qomolangma, Linzhi and NamCo, while Nagqu is quite similar to NamCo. Specific investigation of the pre-monsoon, the Tibetan Plateau summer monsoon, post-monsoon and winter periods within the annual cycle reinforces these findings. The energy flux of the four sites is clearly influenced by the Tibetan Plateau monsoon. In the pre-monsoon period, sensible heat flux is the major energy source delivering heat to the atmosphere, whereas latent heat flux is greater than sensible heat flux during the monsoon season. Other factors affecting surface energy flux are topography and location. Land cover type also affects surface energy flux. The energy balance residuum indicates a typically observed overall non-closure in winter, while closure (or ‘turbulent over-closure’) is achieved during the Tibetan Plateau summer monsoon at the Nagqu site. The latter seems to depend on ground heat flux, which is higher in the wet season, related not only to a larger radiation input but also to a thermal decoupling of dry soils. Heterogeneous landscape modelling using a MODIS product is introduced to explain energy non-closure.


Advances in Atmospheric Sciences | 2018

Comparison of Different Generation Mechanisms of Free Convection between Two Stations on the Tibetan Plateau

Lang Zhang; Yaoming Ma; Weiqiang Ma; Binbin Wang

Based on high-quality data from eddy covariance measurements at the Qomolangma Monitoring and Research Station for Atmosphere and Environment (QOMS) and the Southeast Tibet Monitoring and Research Station for Environment (SETS), near-ground free convection conditions (FCCs) and their characteristics are investigated. At QOMS, strong thermal effects accompanied by lower wind speeds can easily trigger the occurrence of FCCs. The change of circulation from prevailing katabatic glacier winds to prevailing upslope winds and the oscillation of upslope winds due to cloud cover are the two main causes of decreases in wind speed at QOMS. The analysis of results from SETS shows that the most important trigger mechanism of FCCs is strong solar heating. Turbulence structural analysis using wavelet transform indicates that lower-frequency turbulence near the ground emerges from the detected FCCs both at QOMS and at SETS. It should be noted that the heterogeneous underlying surface at SETS creates large-scale turbulence during periods without the occurrence of FCCs. Regarding datasets of all seasons, the distribution of FCCs presents different characteristics during monsoonal and non-monsoonal periods.摘要利用珠穆朗玛大气与环境观测站(QOMS)及藏东南高山环境综合观测研究站(SETS)的经质量控制后并被质量评价为高质量的涡度相关观测数据, 对近地层自由对流条件的(FCCs)产生机制及其特征进行了分析. 在QOMS, 较强的加热作用配合低风速容易触发FCCs. 上午, 盛行弱的下山冰川风转换为盛行上坡风l上坡风建立以后, 当有云影响时, 加热小幅减弱(未减弱到使上坡风消失的程度), 风速减小. 这是QOMS局地环流中风速减小的两个主要原因. SETS的分析结果则显示, 该站FCCs的主要触发机制是较强的太阳辐射加热. 利用小波分析方法, 对两个站的近地层湍流结构进行了分析, 两个站的结果均显示存在一些较大尺度的湍流. 另外, SETS的非均匀下垫面导致在没有发生FCCs的时间段里, 出现了许多大尺度湍流, 这可能是造成该站能量不闭合的一个主要原因. 对两个站点全年FCCs发生时间的统计结果显示, 由于环流调整, 季风期与非季风期存在显著区别: QOMS, 季风期比非季风期FCCs发生时间晚, 发生频率低;SETS, 季风期FCCs发生时间不再主要集中在上午.


Arctic, Antarctic, and Alpine Research | 2017

Observation of Strong Winds on the Northern Slopes of Mount Everest in Monsoon Season

Fanglin Sun; Yaoming Ma; Zeyong Hu; Maoshan Li; Tobias Gerken; Lang Zhang; Cunbo Han; Genhou Sun

ABSTRACT An analysis of the local atmospheric circulation in a northern Himalayan valley in the region of Mount Everest is presented. Data were collected using an automatic weather station over a one-year period in 2014. A ground-based wind profiler radar (WPR) and an in situ GPS radiosonde (RS) were also employed. This study focuses on the characteristics of afternoon strong wind events in the downstream of Rongbuk Valley. We found that: (1) The occurrence of the southwesterly wind during non-monsoon was in good consistency with high values of westerly wind at high levels over this region and confirmed to be driven by the strong westerly jet aloft. (2) The strong afternoon wind in monsoon season has a persistent southeasterly direction, which differs from the prevailing direction of the strong wind in non-monsoon. This flow was found to be independent of the wind aloft and was strongly seasonal, developing at Qomolangma Station (QOMS) when the subtropical jet stream had moved northward and was most stable and strongest in the early monsoon season but before the rainy season. (3) The southeasterly wind in monsoon is colder than local air, suggesting that it is driven by a strong thermal gradient from the Arun Valley to QOMS. Our results contribute to improving our knowledge of local circulation patterns in the Himalayas, and also to gaining a detailed understanding of the mountain chains role in both the monsoon system and regional transport of atmospheric pollutants.


Atmospheric Chemistry and Physics | 2015

Observations of relative humidity effects on aerosol light scattering in the Yangtze River Delta of China

Lang Zhang; J. Y. Sun; Xiaojing Shen; Yangmei Zhang; Haochi Che; Qianli Ma; Y. W. Zhang; Xiaoye Zhang; John A. Ogren


Biogeosciences | 2014

Pasture degradation modifies the water and carbon cycles of the Tibetan highlands

Wolfgang Babel; Tobias Biermann; Heinz Coners; Eva Falge; Elke Seeber; Johannes Ingrisch; Per Marten Schleuß; Tobias Gerken; Jürgen Leonbacher; Thomas Leipold; Sandra Willinghöfer; K. Schützenmeister; Olga Shibistova; Lena Becker; Silke Hafner; Sandra Spielvogel; Xiaogang Li; Xingliang Xu; Yue Sun; Lang Zhang; Yongping Yang; Yaoming Ma; Karsten Wesche; Hans-F. Graf; Christoph Leuschner; Georg Guggenberger; Yakov Kuzyakov; Georg Miehe; Thomas Foken


Biogeosciences | 2009

Impact of cloudiness on net ecosystem exchange of carbon dioxide in different types of forest ecosystems in China

Mi Zhang; Gui Yu; Lang Zhang; Xianyun Sun; Xuefa Wen; Shijie Han; Junhua Yan


Theoretical and Applied Climatology | 2014

Using MODIS and AVHRR data to determine regional surface heating field and heat flux distributions over the heterogeneous landscape of the Tibetan Plateau

Yaoming Ma; Cunbo Han; Lei Zhong; Binbin Wang; Zhikun Zhu; Yongjie Wang; Lang Zhang; Chunchun Meng; Chao Xu; Pukar Man Amatya


Agricultural and Forest Meteorology | 2015

Carbon dioxide exchange between an alpine steppe ecosystem and the atmosphere on the Nam Co area of the Tibetan Plateau

Zhikun Zhu; Yaoming Ma; Maoshan Li; Zeyong Hu; Chao Xu; Lang Zhang; Cunbo Han; Yongjie Wang; Tamagawa Ichiro


Quarterly Journal of the Royal Meteorological Society | 2015

Estimates of effective aerodynamic roughness length over mountainous areas of the Tibetan Plateau

Cunbo Han; Yaoming Ma; Zhongbo Su; Xuelong Chen; Lang Zhang; Maoshan Li; Fanglin Sun


Atmospheric Chemistry and Physics | 2017

Surface ozone at Nam Co in the inland Tibetan Plateau: variation, synthesis comparison and regional representativeness

Xiufeng Yin; Shichang Kang; Benjamin de Foy; Zhiyuan Cong; Jiali Luo; Lang Zhang; Yaoming Ma; Guoshuai Zhang; Dipesh Rupakheti; Qianggong Zhang

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Yaoming Ma

Chinese Academy of Sciences

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Maoshan Li

Chinese Academy of Sciences

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Cunbo Han

Chinese Academy of Sciences

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Zeyong Hu

Chinese Academy of Sciences

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Binbin Wang

Chinese Academy of Sciences

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Fanglin Sun

Chinese Academy of Sciences

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Zhikun Zhu

Chinese Academy of Sciences

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Chao Xu

Chinese Academy of Sciences

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Pukar Man Amatya

Chinese Academy of Sciences

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