Seasonal Arctic sea ice forecasting with probabilistic deep learning
Nature Communications, 2021 Anthropogenic warming has led to an unprecedented year-round reduction in Arctic sea ice extent. This has far-reaching consequences for indigenous and local communities, polar ecosystems, and global climate, motivating the need for accurate seasonal sea ...
Tom R. Andersson +16 more
semanticscholar +1 more source
Satellite-based sea ice thickness changes in the Laptev Sea from 2002 to 2017: comparison to mooring observations [PDF]
The Cryosphere, 2020 The gridded sea ice thickness (SIT) climate data record (CDR) produced by the European Space Agency (ESA) Sea Ice Climate Change Initiative Phase 2 (CCI-2) is the longest available, Arctic-wide SIT record covering the period from 2002 to 2017.
H. J. Belter +6 more
doaj +1 more source
Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR
GIScience & Remote Sensing, 2020 Surface roughness of sea ice is primary information for understanding sea ice dynamics and air–ice–ocean interactions. Synthetic aperture radar (SAR) is a powerful tool for investigating sea ice surface roughness owing to the high sensitivity of its ...
Hyangsun Han +8 more
doaj +1 more source
INCORRECT MATCH DETECTION METHOD FOR ARCTIC SEA-ICE RECONSTRUCTION USING UAV IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Shapes and surface roughness, which are considered as key indicators in understanding Arctic sea-ice, can be measured from the digital surface model (DSM) of the target area.
J.-I. Kim, H.-C. Kim
doaj +1 more source
New insights into radiative transfer within sea ice derived from autonomous optical propagation measurements [PDF]
The Cryosphere, 2021 The radiative transfer of shortwave solar radiation through the sea ice cover of the polar oceans is a crucial aspect of energy partitioning at the atmosphere–ice–ocean interface.
C. Katlein +4 more
doaj +1 more source
MOSAICKING VERY-HIGH-RESOLUTION HELICOPTER-BORNE IMAGES ACQUIRED OVER DRIFTING ARCTIC SEA ICE USING COTS SENSORS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In order to observe and record conditions of the sea ice efficiently and specifically during in-situ investigation with the support of icebreaker research vessel (IBRV), the very-high-resolution (VHR) imaging systems have been used in recent past.
C. U. Hyun, H. C. Kim
doaj +1 more source
Remote Sensing, 2020 Backscattering coefficients of Sentinel-1 synthetic aperture radar (SAR) data of drifting multi-year sea ice in the western Beaufort Sea during the transition period between the end of melting and onset of freeze-up are analyzed, in terms of the ...
Seung Hee Kim +10 more
doaj +1 more source
Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements [PDF]
The Cryosphere, 2022 Knowledge of sea-ice thickness and volume depends on freeboard observations from satellite altimeters and in turn on information of snow mass and sea-ice density required for the freeboard-to-thickness conversion.
A. Jutila +7 more
doaj +1 more source
Tracer Measurements in Growing Sea Ice Support Convective Gravity Drainage Parameterizations [PDF]
, 2020 Gravity drainage is the dominant process redistributing solutes in growing sea ice. Modeling gravity drainage is therefore necessary to predict physical and biogeochemical variables in sea ice.
Bakker, D. C. E. +6 more
core +3 more sources
Geophysical Research Letters, 2020 We examine CMIP6 simulations of Arctic sea‐ice area and volume. We find that CMIP6 models produce a wide spread of mean Arctic sea‐ice area, capturing the observational estimate within the multimodel ensemble spread.
D. Notz, Simip Community
semanticscholar +1 more source