Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection [PDF]
The Cryosphere, 2023 NASA's ICESat-2 mission has provided near-continuous, high-resolution estimates of sea ice freeboard across both hemispheres since data collection started in October 2018.
A. A. Petty +7 more
doaj +1 more source
An assessment of the Arctic Ocean in a suite of interannual CORE-II simulations. Part I: Sea ice and solid freshwater [PDF]
, 2016 The Arctic Ocean simulated in fourteen global ocean-sea ice models in the framework of the Coordinated Ocean-ice Reference Experiments, phase II (CORE II) is analyzed. The focus is on the Arctic sea ice extent, the solid freshwater (FW) sources and solid
Aagaard +95 more
core +2 more sources
Sea-ice thickness variability in Storfjorden, Svalbard [PDF]
Annals of Glaciology, 2011 AbstractResults from electromagnetic induction surveys of sea-ice thickness in Storfjorden, Svalbard, reveal large interannual ice-thickness variations in a region which is typically characterized by a reoccurring polynya. the surveys were performed in March 2003, May 2006 and March 2007 with helicopter- and ship-based sensors.
Hendricks, Stefan +5 more
openaire +3 more sources
Sea-ice evaluation of NEMO-Nordic 1.0: a NEMO–LIM3.6-based ocean–sea-ice model setup for the North Sea and Baltic Sea [PDF]
Geoscientific Model Development, 2017 The Baltic Sea is a seasonally ice-covered marginal sea in northern Europe with intense wintertime ship traffic and a sensitive ecosystem. Understanding and modeling the evolution of the sea-ice pack is important for climate effect studies and ...
P. Pemberton +6 more
doaj +1 more source
Improving numerical accuracy for the viscous-plastic formulation of sea ice [PDF]
, 2022 Accurate modeling of sea ice dynamics is critical for predicting environmental variables and is important in applications such as navigating ice breaker ships. Research for both modeling and simulating sea ice dynamics is ongoing, with the most widely accepted model based on the viscous-plastic (VP) formulation introduced by Hibler in 1979.
arxiv +1 more source
Evaluation of selected CMIP6 models' simulation on Arctic sea ice [PDF]
, 2022 To evaluate whether CMIP6 models provide good simulation in Arctic sea-ice extent, thickness, and motion, selected 6 CMIP6 models are EC-Earth3, ACCESS-CM2, BCC-CSM2-MR, GFDL-ESM4, MPI-ESM1-2-HR, NORESM2-LM.
Zhang, Xinfang Jr
core
Sea ice deformation and sea ice thickness change
, 2022 The Arctic Ocean is undergoing a major transition from a year-round sea ice cover to ice-free summers with global consequences. Sea ice thickness is at the center of the ongoing changes because the thickness regulates key processes of the Arctic climate system and in the last six decades, the mean thickness has more than halved.
openaire +2 more sources
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
On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses [PDF]
The Cryosphere, 2019 The ocean–sea ice reanalyses are one of the main sources of Arctic sea ice thickness data both in terms of spatial and temporal resolution, since observations are still sparse in time and space.
L. Ponsoni +4 more
doaj +1 more source
A New Perspective on Four Decades of Changes in Arctic Sea Ice from Satellite Observations
Remote Sensing, 2022 Arctic sea ice characteristics have been changing rapidly and significantly in the last few decades. Using a long-term time series of sea ice products from satellite observations—the extended AVHRR Polar Pathfinder (APP-x)—trends in sea ice concentration,
Xuanji Wang +3 more
doaj +1 more source