Remote Sensing, 2017 The Arctic sea ice cover has decreased strongly in extent, thickness, volume and age in recent decades. The melt season presents a significant challenge for sea ice forecasting due to uncertainty associated with the role of surface melt ponds in ice ...
Sasha Nasonova +3 more
doaj +1 more source
The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise [PDF]
The Cryosphere, 2015 We assess different methods and input parameters, namely snow depth, snow density and ice density, used in freeboard-to-thickness conversion of Arctic sea ice. This conversion is an important part of sea ice thickness retrieval from spaceborne altimetry.
S. Kern +7 more
doaj +1 more source
Airborne electromagnetic sea ice thickness sounding in shallow, brackish water environments of the Caspian and Baltic Seas [PDF]
, 2006 Ice engineering projects often rely on the knowledge of ice thickness in shallow, brackish water like in the Baltic and Caspian Seas. By means of field data and model results, the paper shows that helicopter-borne electromagnetic induction measurements ...
Haas, Christian
core +1 more source
An Ultra-Wideband, Microwave Radar for Measuring Snow Thickness on Sea Ice and Mapping Near-Surface Internal Layers in Polar Firn [PDF]
, 2013 Sea ice is generally covered with snow, which can vary in thickness from a few centimeters to >1 m. Snow cover acts as a thermal insulator modulating the heat exchange between the ocean and the atmosphere, and it impacts sea-ice growth rates and overall ...
Gogineni, Prasad +8 more
core +2 more sources
Simulations with the sea ice model CICE documenting the impact of improved sea ice physics [PDF]
, 2018 Sea ice thickness data (CryoSat-2) have been used to identify and correct shortcomings in simulating winter ice growth in the widely used sea ice model CICE.
Schroeder, David
core +1 more source
Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory
Elementa: Science of the Anthropocene, 2023 Repeated transects have become the backbone of spatially distributed ice and snow thickness measurements crucial for understanding of ice mass balance.
P. Itkin +12 more
semanticscholar +1 more source
Impacts of Sea Ice Thickness Initialization on Seasonal Arctic Sea Ice Predictions
Journal of Climate, 2017 Abstract A promising means for increasing skill of seasonal predictions of Arctic sea ice is improving sea ice thickness (SIT) initial conditions; however, sparse SIT observations limit this potential. Using the Canadian Climate Model, version 3 (CanCM3), three statistical models designed to estimate SIT fields for initialization in a ...
A. Dirkson, W. Merryfield, A. Monahan
semanticscholar +2 more sources
Sea-ice thickness measurement based on the dispersion of ice swell
The Journal of the Acoustical Society of America, 2012 The dispersion of flexural waves propagating in the Arctic sea ice cover is exploited in order to locally measure the ice thickness. The observed dispersion, for waves filtered in the 4–20 s period interval, at up to 4 broad-band seismometers deployed in Spring 2007 near the North Pole, is compared to a parameterized model that accounts for a complex ...
Marsan, David +3 more
openaire +5 more sources
Remote Sensing, 2022 ICESat-2 altimeter data could be used to estimate sea ice freeboard and thickness values with a higher measuring accuracy than that achievable with data provided by previous altimeter satellites.
Xiaoping Pang +6 more
doaj +1 more source
Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness [PDF]
, 2014 Arctic sea ice thickness distributions from models participating in the World Climate Research Programme Coupled Model Intercomparison Project Phase 5 (CMIP5) are evaluated against observations from submarines, aircraft and satellites.
A. Barrett +3 more
core +1 more source