Datasets
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SDGSAT(2023.07-2023.08)
SDGSAT-1 satellite is designed for solar synchronous orbit, carrying three kinds of loads: high-resolution wide-width thermal infrared, low-light level and multispectral imager.... -
Precipitation data(2019/06-2019/09)
This dataset is the GPM Level 3 IMERG Early Daily 10 x 10 km (GPM_3IMERGDE) derived from the half-hourly GPM_3IMERGHHE. -
Sea ice drift field(2019/06-2019/09)
The medium resolution sea ice drift product is a grid dataset. The grid has a spacing of 20 km on the polar stereoscopic projection map. -
Total cloud cover(2019/06-2019/09)
This parameter is the proportion of the grid frames covered by the cloud. Total cloud cover is a single-stage field of cloud computing that occurs according to different model... -
10m component of wind(2019/10-2019/10)
This parameter is the northerly component of 10m wind. It is the horizontal speed at which the air moves northward, at an altitude of ten meters above the Earth's surface, in... -
2m temperature(2019/06-2019/09)
This parameter is the air temperature 2m above the surface of land, sea or inland waters. The 2m temperature is calculated by interpolating between the lowest model level and... -
Meteorological and Hydrological Data _ Water vapor(2019/06-2019/09)
This parameter is a simplified representation of the amount of water evaporating from the Earth's surface, including transpiration (from vegetation), into vapor in the air above. -
Radar satellite data (Sentinel-1 SAR)(2021/07-2021/11)
sentinel-1 is composed of two polar-orbiting satellites A and B, equipped with C-band SAR sensors, and belongs to the active microwave remote sensing satellite. -
Surface roughness(2019/06-2019/09)
This parameter is the natural logarithm of the length of the heat roughness. The surface roughness of heat is a measure of the resistance of surface heat transfer. This... -
Optical Satellite Data (MODIS)(2021/04-2021/07)
The product is MODIS-L1B, the instrument-calibrated MODIS data product with the product number MOD02/MYD02, which was obtained on the Terra and Aqua satellites respectively and... -
Significant height of combined wind waves and swell(2019/06-2019/09)
This parameter represents the average height of the top third of the surface ocean/waves generated by wind and waves. -
Mean sea level pressure(2019/01-2019/12)
The unit of this parameter is the PASCAL (Pa). The surface pressure is usually measured in hPa, sometimes expressed in millibar's old unit mb (1 hPa = 1 mb = 100 Pa). -
Sea surface temperature(2019/01-2019/12)
NOAA 1/4° Daily Optimal Interpolated Sea Surface Temperature (OISST) is a long-term climate data record that incorporates observations from different platforms (satellites,... -
Sea ice density data(2019/01-2019/12)
The product is based on AMSR2(and AMSR-E) light temperature data and uses the ASI sea ice density algorithm to calculate daily near-real-time data products. -
Sea ice thickness data(2019/06-2019/09)
Depending on the temperature and salinity of the ice, the sea ice thickness is obtained from the SMOS L1C product, which is between 0.5-1 meters thick. The product complements... -
Sea ice boundary line(2019/06-2019/09)
Daily ice analysis chart, the product in yellow indicates marginal ice area (sea ice density ≤80%), and in red indicates dense floating ice (sea ice density > 80%). -
Optical Satellite Data(2021/04-2021/11)
High spatio-temporal resolution ice map ice water classification Remote sensing images (GF3, Landsat, Modis, Sentinel-1, SDG) -
Walk-by-sailing CTD(2019.08-2019.09)
54°N-76°N, 171°E-165°W CTD, vertical resolution 1m -
Sequence of permafrost area changes(2006-2100)
Results of permafrost area change in northern hemisphere based on 21 global model atmospheric data driven ground freezing index model -
Average permafrost distribution (2016-2035)
Latitude:89.8°~89.8°N; Longitude: 0.3°~359.8°S 0.5°× 0.5° Results of average permafrost extent variation in the Northern Hemisphere from 2016 to 2035 based on 21 global model... -
Walk-by-sailing CTD(2019.08.24-2019.09.08)
54°N-76°N, 171°E-165°W Surface multi-element continuous automatic measurement system to determine temperature, salinity and depth; Horizontal resolution 10m -
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 -
Island and reef economic belt data
Other subtasks of the topic are provided,Visualization: Vector layers/and background map overlays -
Data such as seaports, research sites
Visualization: Vector layers/and background map overlays -
Shipping and scientific expeditions track data
Visualization: Vector layers/and background map overlays -
Water vapor data
Visualization: Raster layers/and background map overlays -
Precipitation data
Visualization: Raster layers/and background map overlays -
Wave data
Visualization: Raster layers/and background map overlays -
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 -
Sea surface temperature
Visualization: Raster layer (color legend) -
Sea surface wind field (Observation)
Visualization: vector layer/wind direction (wind direction icon), intensity (color legend) -
Sea ice edge products
Visualization: Vector layers/and background map overlays -
Sea ice drift field
Visualization form: 1. Vector layer/direction (direction icon), speed (color legend) 2. Dynamic change chart over a long period of time -
Sea ice thickness data
Visualization form: 1. Raster layer/and background map overlay display 2. Multi-year history layer overlay to draw a specified route history map -
Sea ice density data
Visualization form: 1. Raster layer/and background map overlay display 2. Multi-year history layer overlay to draw a specified route history map -
Radar satellite data (Sentinel-1 SAR)
Radar satellite imagery data in the Arctic,Visualization: Raster layers/and background map overlays -
Optical Satellite Data (MODIS)
Optical satellite imagery data for the Arctic,Visualization: Raster layers/and background map overlays -
Vessel position data
Vector layers (point and line layers)/point sequences, track lines -
Basic geographic data
Map data in vector and raster formats,Visualization: Raster layer/background map