Improving Multiyear Sea Ice Concentration Estimates with Sea Ice Drift [PDF]
Multiyear ice (MYI) concentration can be retrieved from passive or active microwave remote sensing observations. One of the algorithms that combines both observations is the Environmental Canada Ice Concentration Extractor (ECICE).
Yufang Ye +3 more
doaj +2 more sources
Intercomparison of passive microwave sea ice concentration retrievals over the high‐concentration Arctic sea ice [PDF]
Measurements of sea ice concentration from the Special Sensor Microwave Imager (SSM/I) using seven different algorithms are compared to ship observations, sea ice divergence estimates from the Radarsat Geophysical Processor System, and ice and water surface type classification of 59 wide‐swath synthetic aperture radar (SAR) scenes.
Søren Andersen +4 more
openaire +3 more sources
Sea ice concentration estimates from ICESat-2 linear ice fraction – Part 1: Multi-sensor comparison of sea ice concentration products [PDF]
Sea ice coverage is a key indicator of changes in polar and global climate. Observational estimates of the area and extent of sea ice are primarily derived from passive microwave surface emissions, which are used to develop gridded products of sea ice ...
E. M. Buckley, C. Horvat, P. Yoosiri
doaj +3 more sources
The EUMETSAT sea ice concentration climate data record [PDF]
An Arctic and Antarctic sea ice area and extent dataset has been generated by EUMETSAT's Ocean and Sea Ice Satellite Application Facility (OSISAF) using the record of microwave radiometer data from NASA's Nimbus 7 Scanning Multichannel Microwave ...
R. T. Tonboe +8 more
doaj +6 more sources
Sea ice concentration inversion based on different Arctic sea ice types
The ASI algorithm uses the same sea ice and seawater tie-points when inverting polar sea ice concentration (SIC), but this approach does not fully consider the differences between different polar sea regions and the impact of different sea ice ...
Xingdong Wang +4 more
doaj +2 more sources
Improvement of Arctic Sea Ice Multi-Parameter Assimilation on Sea Ice Concentration Simulation
Based on the CICE sea ice model and the PDAF parallel data assimilation framework, this paper uses the local error subspace transform Kalman filter method (LESTKF) to assimilate the sea ice concentration, sea ice thickness and sea ice freeboard data into
ZHANG Sihan +7 more
doaj +1 more source
Pan-Arctic sea ice concentration from SAR and passive microwave [PDF]
Arctic sea ice monitoring is a fundamental prerequisite for anticipating and mitigating the impacts of climate change. Satellite-based sea ice observations have been subject to intense attention over the last few decades, with passive microwave (PMW ...
T. Wulf +4 more
doaj +4 more sources
Southern Ocean sea ice concentration budgets of five ocean-sea ice reanalyses
AbstractIn this study, sea ice concentration (SIC) budgets were calculated for five ocean-sea ice reanalyses (CFSR, C-GLORSv7, GLORYS12v1, NEMO-EnKF and ORAS5), in the Southern Ocean and compared with observations. Benefiting from the assimilation of SIC, the reanalysis products display a realistic representation of sea ice extent as well as sea ice ...
Yafei Nie +6 more
openaire +3 more sources
A NEW WEATHER FILTER FOR REDUCING WEATHER EFFECT IN CALCULATING SEA ICE CONCENTRATION FROM AMSR2 DATA [PDF]
Ice concentration is one of the most fundamental parameters of sea ice which can be calculated from brightness temperatures measured by passive microwave radiometers such as AMSR2 onboard satellites.
K. Cho, K. Naoki
doaj +1 more source
Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST [PDF]
Abstract. A multi-category numerical sea ice model CICE along with data assimilation was used to derive sea ice parameters in the region of Baffin Bay and Labrador Sea. The assimilation of ice concentration was performed using the data derived from Advanced Microwave Scanning Radiometer (AMSR-E & AMSR2).
S. Prasad +5 more
openaire +3 more sources

