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Near-surface wind field (Forecast)
Visualization form: 1. Vector layer / wind direction (wind direction icon), intensity (color legend) 2. Forecast the dynamic change map in a fixed time -
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... -
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... -
[EU-H2020]INTAROS Data Catalogue
Integrated Arctic observation system (INTAROS) is a research and innovation project funded by EC - H2020-BG-09-2016 for 5 years (2016-2021). INTAROS has a strong focus on... -
Dataset of MODIS-based Daily River Ice Fraction for the Arctic
Daily River Ice Fraction for the Arctic. -
Arctic sea ice melt pond fraction derived from MODIS
Melt pond fraction (MPF) on sea ice is an important factor for ice-albedo feedback throughout the Arctic Ocean. Based on The Moderate Resolution Imaging Spectroradiometer...
