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泛第三极本底数据集(1980-2020)

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以青藏高原为核心的泛第三极地区,在全球气候系统和水文循环中起着至关重要的作用。随着全球气候变化,泛第三极地区的环境变化引起了广泛关注。为了避免科学家耗费大量时间和精力在获取和处理泛第三极数据集上,同时为泛第三极地球系统模型提供驱动和验证数据集,本研究集成不同来源、格式各异和范围不一的多源数据,采用统一标准(包括投影系统、边界和时空分辨率),生成一套包括泛第三极基础地理数据、冰冻圈数据、水文大气数据、生态数据、灾害数据和人文地理数据等类型的泛第三极本底数据集。为确保数据质量,本数据集对所有原始数据进行遴选,并对关键数据集进行多源融合以充分利用不同数据集的优势,降低信息冗余,提供更高质量的关键数据集。泛第三极本底数据集的发布旨在为泛第三极地区的科学研究和可持续发展提供重要的数据支撑,并促进泛第三极模型集成(如陆面过程模型、水文模型和生态模型等)的研究。
A dataset of comprehensive background data series over the Pan-Third Pole(1980-2020)
The Pan-Third Pole,with the Tibetan Plateau as its core,plays a crucial role in the global climate system and hydrological cycle.As a result of global climate change,environmental changes in the Pan-Third Pole region have attracted widespread attention.To save the time and effort spent by scientists in obtaining and preprocessing Pan-Third Pole datasets,and to providing driving and validation datasets for Earth system models,this study integrates multi-source data of different formats and ranges,using unified standards(including projection systems,boundaries,and spatiotemporal resolutions).In this way,we produced a dataset of comprehensive background data series over the Pan-Third Pole(1980-2020),including basic geographic data,cryospheric data,hydro-atmospheric data,ecological data,disaster data,and human geographic data.In terms of data quality,all original data are carefully selected,and key datasets have been integrated to maximize the advantages of different sources,reduce information redundancy,and ensure the higher quality of the dataset.The dataset is aimed to provide important data support for scientific research and sustainable development in the Pan-Third Pole region,and promote advancements in the integration of Pan-Third Pole models(e.g.land surface process models,hydrological models,and ecological models).

data Integrationdata Fusiondata sharingPan-Third Pole

李虎、潘小多、冯敏、盖春梅、王建邦、戚靖文

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中国科学院青藏高原研究所,青藏高原地球系统科学国家重点实验室,三极观测与大数据中心,北京 100101

中国科学院大学,北京 100049

青海师范大学高原科学与可持续发展研究院,西宁 810016

中国科学院西北生态环境资源研究院,兰州 730000

兰州大学资源环境学院,兰州 730000

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数据集成 数据融合 数据共享 泛第三极

2024

中国科学数据(中英文网络版)

中国科学数据(中英文网络版)

CSTPCD
ISSN:2096-2223
年,卷(期):2024.9(3)