Observations and geophysical value-added datasets for cold high mountain and polar regions

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Big Earth Data Pub Date : 2022-10-02 DOI:10.1080/20964471.2022.2154974
Y. Qiu, H. Lappalainen, Tao Che, S. Sandven, T. Zhao
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引用次数: 2

Abstract

The Earth’s cold regions, in particular, the Arctic, Antarctic, and High-Mountain Asia (HMA), are dominated by the changing cryosphere and have inherently fragile environments (Guo, 2018; Kulmala, 2018; Guo et al., 2020; Li et al., 2020; Yao et al., 2022; Group on Earth Observations (GEO), 2022). Warming has reshaped the regions where the cryosphere is located; it has also been affecting water availability in lowland downstream areas, opening up northern sea routes, and affecting the stability of roads and infrastructure in permafrost rich areas (Pulliainen et al., 2019). Changes in the phase of water and its consequences have thus had a major impact on the environment and the lives of billions of people. Timely and accurate information on the elements that comprise the cryosphere, including snow, glaciers, permafrost, freshwater ice, sea ice, and solid precipitation, provide the data-evidenced support to the protection of these cold regions’ fragile ecosystems and environment, facilitating the sustainable exploitation of environmental resources, providing driven data for hydrometeorological model, and supporting the safe use of infrastructure over land and ocean (Pulliainen et al., 2019; Guo et al., 2020). The availability of data and information thus helps with the achievement of United Nations Sustainable Development Goals (UN SDGs) (Hu et al., 2017; Qiu et al., 2016; Qiu et al., 2017; Zhao et al., 2021; Zhao et al., 2021; GEO, 2022). Awareness of the open sharing and interoperability of Earth observations and valueadded datasets has been promoted by international programs and projects; for example, the Group on Earth Observations (GEO), the GEO Cold Regions Initiative (Qiu et al., 2016; Pirazzini et al., 2020; GEO, 2022), and the Pan-Eurasian Experiment program (Lappalainen et al., 2022), as well as environmental projects concerned with polar regions, such as the Integrated Arctic Observation System (INTAROS), which is part of the EU’s Horizon 2020 project (Sandven et al., 2020), and its counterpart project Multi-Parameters Arctic Environmental Observations and Information Services funded by Ministry of Science and Technology of China (MARIS); the ERA-PLANET Strand-4 Integrative and Comprehensive Understanding on Polar Environments project (iCUPE) (Petäjä et al., 2020); the CASEarth Poles project (Li et al., 2020), which is part of the Chinese Academy of Sciences Big Earth Data Science Engineering Program (Guo, 2018); the Digital Belt and Road Program Working Group on High Mountain and Cold Regions (Qiu et al., 2017); and the Third Pole Environment (Yao et al., 2012; Yao et al., 2022). Many recent developments have been concerned with the rich deliverables of data gathered continuously by the increasing number of national and international Earth observation systems to the public. However, the opening up of datasets is posing challenges for the study of the Earth’s cold regions. In particular, the lack of the efficient BIG EARTH DATA 2022, VOL. 6, NO. 4, 381–384 https://doi.org/10.1080/20964471.2022.2154974
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寒冷高山和极地地区的观测和地球物理增值数据集
地球寒冷地区,特别是北极、南极和亚洲高山地区(HMA),受冰冻圈变化的支配,具有固有的脆弱环境(Guo, 2018;Kulmala, 2018;郭等,2020;Li et al., 2020;Yao et al., 2022;地球观测组织(GEO), 2022)。变暖重塑了冰冻圈所在的区域;它还影响了下游低地地区的水资源供应,开辟了北方海上航线,并影响了多年冻土丰富地区道路和基础设施的稳定性(Pulliainen et al., 2019)。因此,水相的变化及其后果对环境和数十亿人的生活产生了重大影响。关于构成冰冻圈要素(包括雪、冰川、永久冻土、淡水冰、海冰和固体降水)的及时准确信息,为保护这些寒冷地区脆弱的生态系统和环境提供了数据证据支持,促进了环境资源的可持续开发,为水文气象模型提供了驱动数据,并支持陆地和海洋基础设施的安全使用(Pulliainen et al., 2019;郭等人,2020)。因此,数据和信息的可用性有助于实现联合国可持续发展目标(UN SDGs) (Hu et al., 2017;邱等,2016;邱等,2017;赵等,2021;赵等,2021;地理,2022)。通过国际计划和项目,促进了对地观测和增值数据集的开放共享和互操作意识;例如,地球观测组织(GEO), GEO寒冷地区倡议(Qiu et al., 2016;Pirazzini et al., 2020;GEO, 2022),以及泛欧亚实验计划(Lappalainen et al., 2022),以及与极地有关的环境项目,如欧盟地平线2020项目(Sandven et al., 2020)中的北极综合观测系统(INTAROS),以及中国科技部资助的多参数北极环境观测与信息服务项目(MARIS);ERA-PLANET Strand-4极地环境综合认识项目(iCUPE) (Petäjä et al., 2020);中国科学院大地球数据科学工程项目CASEarth极地项目(Li et al., 2020) (Guo, 2018);高山寒区数字“一带一路”工作组(Qiu et al., 2017);和第三极环境(Yao et al., 2012;姚等人,2022)。最近的许多发展都涉及到向公众提供越来越多的国家和国际地球观测系统不断收集的丰富数据。然而,数据集的开放给地球寒冷地区的研究带来了挑战。特别是,缺乏有效的大地球数据2022,VOL. 6, NO. 6。4,381 - 384 https://doi.org/10.1080/20964471.2022.2154974
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来源期刊
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
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