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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 -
MODIS daily cloud-free snow cover products over Tibetan Plateau
Snow cover over Tibetan Plateau plays an important role in regional water andenergy circulation. Snow ablation also affects downstream rivers. Snow parameters and their longterm... -
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...