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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 -
High-Accuracy Sea Ice Mapping Based on MODIS
The sea ice cover is changing rapidly in polar regions, and sea ice products with high temporal and spatial resolution are of great importance in studying global climate change... -
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 Phenology Dataset of 753 Lakes in the Northern Hemisphere
Lake-ice phenology (LIP) is an essential indicator of climate change and helps to understand regional characteristics of the climate change impact. Ground observation records... -
Constructing dataset of classified drainage areas based on surface water-supp...
The High Mountain Asia (HMA) region is a geographical unit, holds the largest reservoir of glaciers and snow outside Earth poles. Four datasets were thus obtained: Glacier- and... -
SIMBA snow/ice mass balance buoy data and weather station data
The high spatial resolution (2cm) vertical air-snow-ice-water temperature time series have been measured in an Arctic lake during winter seasons 2009-2020. Snow depth, ice... -
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... -
Dataset of MODIS-based Daily River Ice Fraction for the Arctic
Daily River Ice Fraction for the Arctic.
