Snow depth on Arctic sea ice derived from radar: In situ comparisons and time series analysis

摘要: The snow radar being flown on NASA's Operation IceBridge, ongoing aircraft campaigns to the Arctic and Antarctic are providing unique observations of depth sea ice cover. In this paper, we focus radar-derived results from 2009–2012 campaigns. We develop evaluate use a distinct layer tracker measure based Support Vector Machine (SVM) supervised learning algorithm. is designed detect both air-snow snow-ice interfaces using ultrawideband frequencies 2 8 GHz. quality, errors, repeatability estimates examined, comparisons with in situ data obtained during two separate field campaigns, GreenArc 2009 CryoVEx 2011 off Greenland Lincoln Sea. Finally, analyze 4 years (2009–2012) three annually repeated flight lines early spring, located Canadian Arctic. examine annual variations differences between perennial seasonal when available. Overall, produced consistent, accurate for depths 0.10 ∼0.60 m. This was confirmed sets measurement as well time series analysis, consistent other published results.