Big Data Promotes the Tibetan Plateau and Pan-Third Pole Earth System Science

The Pan-Third Pole includes the Tibetan Plateau and the northern intracontinental arid region of Asia, extending to the Caucasus Mountains in the west and the western Loess Plateau in the east. This region covers 20 million square kilometers and affects the environment inhabited by three billion people. Two special projects have been implemented to provide important scientific support for eco-environmental refining and sustainable economic and social development of the Pan-Third Pole region, with the Tibetan Plateau as its core: the Second Tibetan Plateau Scientific Expedition Program (a national special project) and the Pan-Third Pole Environmental Change and Construction of the Green Silk Road (hereinafter referred to as the Silk Road and Environment), a strategic pilot science and technology project (Category A) of the Chinese Academy of Science. The Pan-Third Pole big data system is an important data support platform for these two major research programs and has several purposes: the storage, management, analysis, mining and sharing of scientific data for various disciplines, such as resources, the environment, ecology and atmospheric science of the Pan-Third Pole; preparation of key scientific data products of the Pan-Third Pole; the gradual development of functions such as online big data analysis and model application; the construction of a cloud-based platform to integrate data, methods, models; and services for Pan-Third Pole research and promote application of big data technology in scientific research in the region. This paper demonstrates in detail various aspects of the Pan-Third Pole big data system, including the system architecture, data resource integration and big data analysis methods. The system improves big data processing capability in geoscience, serves as a new paradigm of geoscience research driven by big data and facilitates scientific research of the Earth system of the Pan-Third Pole.