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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 -
Data Set of Automatic Meteorological Station measurements in Svalbard
This data set contains in situ measurements of atmospheric surface variables, such as air temperature, humidity, pressure, and wind speed. An Automatic Meteorological Station... -
Sea Ice Forecasting Products of Arctic Ice-Ocean Prediction System (ArcIOPS v...
The Arctic Ice-Ocean Prediction System assimilates near-real-time sea ice concentration, sea ice thickness, and sea surface temperature in ice-free regions. Sea ice thickness... -
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... -
Ice Mass Balance Buyo data deployed in Arctic on 10.08.2018
Two sets of Ice Mass Balance buyo were deployed in Arctic during the CHINARE9. One works for 9 months and the other works for 14 months. Temperature profiles of... -
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...
