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
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 +6 more sources
Optimization of a sea ice model using basinwide observations of Arctic sea ice thickness, extent, and velocity [PDF]
, 2006 A stand-alone sea ice model is tuned and validated using satellite-derived, basinwide observations of sea ice thickness, extent, and velocity from the years 1993 to 2001. This is the first time that basin-scale measurements of sea ice thickness have been
Cresswell, Douglas J. +3 more
core +1 more source
Seasonal forecasts of Arctic sea ice initialized with observations of ice thickness [PDF]
Geophysical Research Letters, 2012 Seasonal forecasts of the September 2012 Arctic sea ice thickness and extent are conducted starting from 1 June 2012. An ensemble of forecasts is made with a coupled ice‐ocean model. For the first time, observations of the ice thickness are used to correct the initial ice thickness distribution to improve the initial conditions.
R. Lindsay +9 more
openaire +3 more sources
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
Interannual sea ice thickness variability in the Bay of Bothnia [PDF]
The Cryosphere, 2018 Abstract. While variations of Baltic Sea ice extent and fast ice thickness have been extensively studied, there is little information about the sea ice thickness distribution and its variability. In our study, we quantify the interannual variability of sea ice thickness in the Bay of Bothnia during the years 2003–2016.
Iina Ronkainen +5 more
openaire +5 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
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