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Science Rendezvous > Posters
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Simulation and Classification of Arctic Sea Ice Data
for Change Detection and Kinematic Analysis (SAR, ICESat-1/2)
Ute Herzfeld (1), Bruce Wallin (1), John Heinrichs (2), Jay Zwally (3) James Maslanik(4), Al Gasiewski (5), Steven Sucht (1)
(1) CIRES, (2) Fort Hays State University, Hays, Kansas, (3) Cryopsheric Sciences Branch, NASA Goddard Space Flight Center, (4) CCAR, CU, (5) ECE, CU
To correctly assess mass loss of the Arctic sea ice, two components need to be measured and modeled: (1) freeboard, and (2) spatial distribution of ice thickness.
Complex morphogenetic and kinematic processes lead to a rough surface that is intersected by leads. The first part of our analysis is the simulation of sea-ice surfaces, combining (1) surface elevation and roughness from GLAS data analysis and from field and aerial snow-layer thickness and spatial roughness, and (2) spatial distribution of leads from upward-looking sonar data and from RADARSAT SAR data. The surface simulation uses fractal dimension, anisotropy direction and factor.
The capability of a multi-beam lidar system as proposed for ICESat-2 to accurately capture sea-ice roughness and lead distribution and hence to improve mass change estimates is then investigated. In addition to their role in the simulation, the spatial characteristics of leads in time series of SAR data facilitates classification of kinematic states of sea-ice provinces, which is important to understand the movement of sea ice.
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