Dynamic Response of Glaciers on the Tibetan Plateau to Climate Change - Phase III (DynRG-TiP-III)
Dynamic Response of Glaciers on the Tibetan Plateau to Climate Change - Phase III (DynRG-TiP-III)
批准号:
69015136
负责人:
Professor Dr. Manfred F. Buchroithner
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
2008
资助国家:
德国
项目状态:
已结题
起止时间:
2007-12-31 至 2017-12-31
中文摘要
青藏高原冰川是自然环境的重要组成部分,形成了对生态系统和当地人口至关重要的水资源。在过去几十年中,观察到了强烈的气候趋势和冰川系统的相关变化。尽管存在许多冰川学研究,但实际上对尖点冰川对气候变化的动态响应一无所知。拟议研究的中心目标是通过增加新的数据和改进的方法来提高我们对TiP上大气-冰冻圈相互作用的理解,这些数据和方法涉及大规模大气强迫导致的能量和质量平衡分量的短期和长期变化,包括气候变化引起的冰川动态变化和转变。与DynRG-TiP项目的第一阶段一样,实地研究和遥感数据分析将集中在纳木错附近的念青唐古拉山脉的冰川上,中国科学院青藏高原研究所(ITP)在那里运营着TiP最便利的研究站之一。在第一阶段,ITP进行的实地测量得到了自己的实地测量和遥感数据分析的补充,并将在第二阶段继续进行并进一步改进。根据观测数据,我们将进一步开发和应用优化的数值模型框架,用于计算尖点上选定冰川的表面能量和质量平衡分量,以估计其未来对气候变化的动态响应。第一阶段取得的可喜成果表明,继续开展该项目具有很高的科学价值。
英文摘要
Glaciers on the Tibetan Plateau (TiP) are characteristic elements of the natural environment forming water resources of cardinal importance both for ecosystems and local population. During the last decades, strong climate trends and related changes in glacial systems have been observed. Despite the existence of many glaciological studies virtually nothing is known on the dynamic response of glaciers on the TiP to climate change. The central goal of the proposed research is improving our understanding of atmosphere-cryosphere interactions on the TiP by adding new data and improved methods on short- and long-term variations in energy and mass balance components due to large-scale atmospheric forcing, including variations and shifts in glacier dynamics induced by climate change. As in Phase I of the DynRG-TiP project, field studies and remote sensing data analyses will focus on glaciers in the Nyainqentanglha Mountains near Nam Co, where the Institute of Tibetan Plateau Research (ITP) of the Chinese Academy of Science (CAS) operates one of the best facilitated research stations of the TiP. The field measurements carried out by the ITP have been supplemented by own field measurements and analysis of remote sensing data in Phase I, and shall be continued and further improved in Phase II. Based on the observational data we will further develop and apply an optimised numerical model framework for computing surface energy and mass balance components of selected glaciers on the TiP to estimate their future dynamic response on climate change. The promising results achieved during Phase I indicate that the continuation of the project is of high scientific value.
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