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西藏现代冰川分区(1973-1979)

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国家青藏高原科学数据中心2025-03-05 更新2025-03-22 收录
下载链接:
https://data.tpdc.ac.cn/zh-hans/data/5c65487b-9aa8-4803-89a9-9bab9fbbf7ef
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资源简介:
该数据集以Excel格式存储,包含45张工作簿,详尽记录了西藏现代冰川的分区及其特征。喜马拉雅山作为世界上最雄伟的山脉,冰川规模最大,拥有良好的地势条件和充足的补给,成为青藏高原冰川分布的重要区域。数据集中包括了喜马拉雅山及其周边山脉的冰川类型、面积统计、雪线高程与积累区比率等多项指标,涵盖纳木那尼峰、珠穆朗玛峰、冈底斯山、唐古拉山和喀喇昆仑山等地的现代冰川信息。此外,数据还涉及降水观测、气候因素及冰川特点的综合分析,为理解冰川的形成和演变提供了重要依据。这些数据为第一次青藏科学考察数据的数字化整理成果,旨在为研究人员和相关领域的专家提供全面、系统的冰川资料,助力于对西藏高原冰川生态系统的深入研究与保护,进一步推动对全球气候变化影响的认识。

This dataset is stored in Excel format, comprising 45 worksheets that exhaustively document the zoning and characteristics of modern glaciers in Tibet. The Himalayas, the most majestic mountain range on Earth, boast the largest glacier scale, with favorable topographic conditions and abundant ice and snow supply, making them a key region for glacier distribution across the Tibetan Plateau. The dataset includes multiple indicators such as glacier types, area statistics, snow line elevation and accumulation area ratio for glaciers in the Himalayas and its surrounding mountain ranges, covering modern glacier information from locations including Naimona'nyi Peak, Mount Qomolangma (Everest), the Gangdise Mountains, the Tanggula Mountains and the Karakoram Mountains. In addition, the dataset also involves comprehensive analyses of precipitation observations, climatic factors and glacier characteristics, providing critical foundational data for understanding the formation and evolution of glaciers. This dataset is a digital collation of the data from the first Qinghai-Tibet Scientific Expedition, designed to provide comprehensive and systematic glacier resources for researchers and experts in relevant fields, support in-depth research and conservation of glacial ecosystems on the Tibetan Plateau, and further advance understanding of the impacts of global climate change.
提供机构:
中国科学院西藏科学考察队,李吉均
创建时间:
2021-04-16
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是1973-1979年西藏现代冰川分区的详细记录,以Excel格式存储,包含45张工作簿,涵盖喜马拉雅山、珠穆朗玛峰、冈底斯山等山脉的冰川类型、面积、雪线高程等关键指标。它基于第一次青藏科学考察数据数字化整理,旨在为冰川生态系统研究和气候变化影响分析提供全面、系统的资料。
以上内容由遇见数据集搜集并总结生成
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