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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... -
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... -
Snow cover dataset based on optical instrument remote sensing with 1km spatia...
Snow cover dataset is produced by snow and cloud identification method based on optical instrument observation data, covering the time from 1989 to 2018 (two periods, from... -
Snow cover dataset based on multi-source remote sensing products blended with...
This dataset is blended by two other sets of data, snow cover dataset based on optical instrument remote sensing with 1km spatial resolution on the Qinghai-Tibet Plateau...
