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CASEarth Poles: Big Data for the Three Poles

Xin LiNational Tibetan Plateau Data Center, Key Laboratory of Tibetan Environmental Changes and Land Surface Processes, Institute of Tibetan Plateau Research, and CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, and University of Chinese Academy of Sciences, Beijing, China

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Tao CheCAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, and Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

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Xinwu LiInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China

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Lei WangCAS Center for Excellence in Tibetan Plateau Earth Sciences, and Institute of Tibetan Plateau Research, Chinese Academy of Sciences, and University of Chinese Academy of Sciences, Beijing, China

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Anmin DuanCAS Center for Excellence in Tibetan Plateau Earth Sciences, and Institute of Atmospheric Physics, Chinese Academy of Sciences, and University of Chinese Academy of Sciences, Beijing, China

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Donghui ShangguanNorthwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

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Xiaoduo PanNational Tibetan Plateau Data Center, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China

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Miao FangNorthwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

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Qing BaoInstitute of Atmospheric Physics, Chinese Academy of Sciences, and University of Chinese Academy of Sciences, Beijing, China

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Abstract

Unprecedented changes in the climate and environment have been observed in the three poles, including the North Pole, the South Pole, and the Third Pole–Tibetan Plateau. Although considerable data have been collected and several observation networks have been built in these polar regions, the three poles are relatively data-scarce regions due to inaccessible data acquisition, high-cost labor, and difficult living environments. To address the obstacles to better understanding the unprecedented changes in the three poles and their effects on the global environment and humans, there is a pressing need for better data acquisition, curation, integration, service, and application to support fundamental scientific research and sustainable development for the three poles. CASEarth Poles, a project within the framework of the “CAS Big Earth Data Science Engineering” program of the Chinese Academy of Sciences, aims to construct a big data platform for the three poles. CASEarth Poles will be devoted to 1) breaking the bottleneck of polar data curation, integration, and sharing; 2) developing high-resolution remote sensing products over the three poles; 3) generating atmospheric reanalysis datasets for the polar regions; 4) exploring the synchronization, asynchronization, and teleconnection of the environmental changes in the three poles; 5) investigating the climate, water cycle, and ecosystem dynamics and the interactions among the multispheres in the polar regions and their global effects; and 6) supporting decision-making with regard to sea ice forecasting, infrastructure, and sustainable development in polar regions. CASEarth Poles will collaborate with international efforts to enable better data and information services for the three poles in the big data era.

Corresponding author: Xin Li, xinli@itpcas.ac.cn

Abstract

Unprecedented changes in the climate and environment have been observed in the three poles, including the North Pole, the South Pole, and the Third Pole–Tibetan Plateau. Although considerable data have been collected and several observation networks have been built in these polar regions, the three poles are relatively data-scarce regions due to inaccessible data acquisition, high-cost labor, and difficult living environments. To address the obstacles to better understanding the unprecedented changes in the three poles and their effects on the global environment and humans, there is a pressing need for better data acquisition, curation, integration, service, and application to support fundamental scientific research and sustainable development for the three poles. CASEarth Poles, a project within the framework of the “CAS Big Earth Data Science Engineering” program of the Chinese Academy of Sciences, aims to construct a big data platform for the three poles. CASEarth Poles will be devoted to 1) breaking the bottleneck of polar data curation, integration, and sharing; 2) developing high-resolution remote sensing products over the three poles; 3) generating atmospheric reanalysis datasets for the polar regions; 4) exploring the synchronization, asynchronization, and teleconnection of the environmental changes in the three poles; 5) investigating the climate, water cycle, and ecosystem dynamics and the interactions among the multispheres in the polar regions and their global effects; and 6) supporting decision-making with regard to sea ice forecasting, infrastructure, and sustainable development in polar regions. CASEarth Poles will collaborate with international efforts to enable better data and information services for the three poles in the big data era.

Corresponding author: Xin Li, xinli@itpcas.ac.cn
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