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数字极地报告_第六期（程晓-中山大学）
报告内容: 极地环境与气候的快速变化及其影响是全球科学界和政府最为关注的话题之一。极地自然环境恶劣，难以到达，因此观测数据极为缺乏，急需建立空天地海立体观监测平台以获取时空连续的极地数据，提升对极地环境与气候变化的认知水平，回答全球变化的关键科学问题，对极地和全球气候的未来变化做出准确预测。... -
数字极地报告_第五期（杨大庆-Enviroment Canada）
报告内容：Due to strong climate warming in the northern regions over the past several decades, arctic hydrology and permafrost have changed substantially. Many recent studies... -
数字极地报告_第四期（王显威-上海交通大学海洋学院）
报告内容：全球气候和海洋变化对南极、格陵兰岛的冰川造成严重影响，已经导致极地冰川大范围的快速消融。 2003- 2019，极地冰川的消融已经导致全球海平面升高约14... -
数字极地报告_第三期（李荣兴-同济大学）
报告内容:... -
数字极地报告_第二期（徐世明-清华大学地球系统科学系）
报告内容:极地海冰及其雪盖是全球气候系统的重要组成部分，随着气候变暖，北极海冰的范围和厚度发生显著变化，对北极和北半球天气气候产生重要影响。卫星测高是获取海盆尺度海冰厚度的最主要手段，为气候研究和季节预测等关键应用提供重要支撑。本报告主要介绍海冰和冰上积雪厚度反演的现状和前沿性问题，重点介绍现有测高算法的不确定性和改进方法，以及冰上积雪重建的国际现状和... -
数字极地报告_第一期（施建成-中科院国家空间科学中心）
报告内容:全球和区域的水循环时空分布及变化特征研究中，现有能力的水平无论是模型预报还是观测方面还都相当有限。国际上现有的或规划近期发射的，针对水循环要素的地球观测卫星的测量能力还远不能满足水循环研究的需求。针对相关需求以及目前遥感监测中存在的缺陷和问题，创新性地设计和提出国际上第一颗新型自主的、多要素的综合水循环观测卫星-中法水循环观测卫星计划(Chi... -
Arctic sea ice drifting buoy（2018.01-2018.09）
Starting points: 76.998, 179.130 End point: 81.771, 168.588 Roughly covered sea: the East Siberian Sea Buoy number: 300234062559750 -
Arctic sea ice drifting buoy（2018.02-2018.08）
Starting points: 72.119, -139.730 End points: 73.332, -169.653 Roughly covered sea: Beaufort Sea Buoy number: 300234065164080 -
Arctic sea ice drifting buoy（2019.1-2019.12）
Buoy number: 300234066036110 Starting point: 74.425, -137.130 End: 75.481, -170.394 Approximate sea coverage: Beaufort Sea -
Arctic sea ice drifting buoy（2019.01-2019.08）
Buoy number: 300234065494020 Starting point: 74.774, -148.631 End point: 73.015, -137.530 Approximate sea coverage: Beaufort Sea -
Arctic sea ice drifting buoy（2019.01-2019.12）
Buoy number: 300234062880820 Starting point: 78.320, -167.886 End point: 83.562, -151.835 Approximate sea coverage: the central region of the Arctic -
Arctic sea ice drifting buoy（2020.01-2020.04）
Buoy number: 174640 Starting points: 79.743, 65.388 End: 76.380, 56.401 Approximate sea coverage: Barents Sea -
Arctic sea ice drifting buoy（2020.09-2020.11）
Buoy number: 300534060210350 Starting point: 78.880, -158.499 End point: 81.387, -158.309 Approximate sea coverage: Beaufort Sea -
A dataset of glacier distribution and glacier changes in the Kangri Karpo Mou...
Located in southeastern Tibetan Plateau, the Kangri Karpo Mountains extents about 280 km from north-west to south-east, south of Bomê County and neighboring Motuo, Zayü and Basu... -
A dataset of glaciers in the Tanggula Mountains in 1991 and 2015
The Tanggula Mountains are located in the central part of the Tibetan Plateau (31°15′–34°45′N, 90°23′–95°52′E), are bordered by the Zulkkora Mountains to the west and by the... -
A dataset of spatial distribution of degree-day factors for glaciers in High ...
The degree-day model, a widely used approach for ice and snow melt computation, rests upon a relationship between snow or ice melt and air temperature that is usually expressed... -
A dataset of glacier mass balance of Hailuogou catchment in Mount Gongga, sou...
Glacier mass balance is among the clearest natural indicators of ongoing climate change and is important for the assessment of water resources and sea-level rise. However, few... -
A dataset of glacier elevation change in Muztag Ata and Kongur Tagh from 1971...
While climate-driven glacier change significantly impacts regional water resources, particularly the hydrological cycle, glacier elevation change is a key indicator of climate... -
Dataset of the May 2015 Karayaylak Glacier surge in eastern Pamir
Karayaylak Glacier (38°35′6″N–38°44′48″N, 75°7′47″E–75°22′29″E) is located in the northern slope of Jiubie Peak of Kongur Mountains, eastern Pamir, China. Its surge in May 2015... -
A dataset of glacier elevation changes in the Kangri Karpo Mountains during 1...
Due to the influence of the Indian monsoon, the Kangri Karpo Mountains, located in southeast Tibet, is the most humid and maritime glacier-concentrated region on the Tibetan...
