
In this study, our technique for automated extraction of sea ice concentration from RADARSAT-2 data was adapted to the recently launched RADARSAT Constellation mission (RCM). Ice concentrations were derived from more than 2,600 RCM images acquired between August 1, 2020 and March 31, 2021. The retrieved ice concentrations were compared against the Canadian Ice Service (CIS) Image Analysis products. A very good agreement between RCM-derived and CIS Image Analysis ice concentrations was found with the root-mean square error of 2.2% and R2 of 0.997. Our results suggest that automatically derived ice concentrations from RCM are well suited for further assimilation in sea ice numerical prediction systems such as Environment and Climate Change Canada Regional Ice-Ocean Prediction System.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
