Introduction Decline in the extent and concentration of Arctic sea ice has become a commonly used indicator of our rapidly changing climate (Peng and Meier, 2018). Sea ice extent and concentration decline are driven by the positive feedback loop of ice melt resulting from decreased ocean surface albedo (Perovich, 2002) and by external climatic responses such as deviations in atmospheric pressure patterns (Hochheim and Barber, 2010). High accuracy records of Arctic sea ice are vital for determining how these variables have changed historically in response to climate change, and for predicting how the Arctic Ocean system may evolve in the future. Arctic sea ice extent and total concentration are calculated using sea ice concentration (SIC) algorithms (Kern et al., 2016). SIC algorithms predict ice concentration from satellite retrievals of microwave emissions from the Earth's surface. Using empirical knowledge of the microwave emissivity of various Earth surface types, algorithms have been generated to estimate the fractional coverage of surface types contributing to a single satellite measurement (Comiso et al., 1997; Hwang et al., 2007). This calculation is accurate during the winter, when emissions from the dry ice surface and ocean are distinct and well understood. The average accuracy of commonly used SIC algorithms in the winter is reported to be within ±5% in areas of high ice concentration (Ivanova et al., 2015). Harasyn, ML, et al. 2020. Multi-scale observations of the co-evolution of sea ice thermophysical properties and microwave brightness temperatures during the summer melt period in Hudson Bay. Elem Sci Anth, 8: 16.