Multi-scale observations of the co-evolution of sea ice thermophysical properties and microwave brightness temperatures during the summer melt period in Hudson Bay
Elementa, ISSN: 2325-1026, Vol: 8, Issue: 1
2020
- 5Citations
- 11Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Monitoring the trend of sea ice breakup and formation in Hudson Bay is vital for maritime operations, such as local hunting or shipping, particularly in response to the lengthening of the ice-free period in the Bay driven by climate change. Satellite passive microwave sea ice concentration products are commonly used for large-scale sea ice monitoring and predictive modelling; however, these product algorithms are known to underperform during the summer melt period due to the changes in sea ice thermophysical properties. This study investigates the evolution of in situ and satellite-retrieved brightness temperature (T) throughout the melt season using a combination of in situ passive microwave measurements, thermophysical sampling, unmanned aerial vehicle (UAV) surveys, and satellite-retrieved T. In situ data revealed a strong positive correlation between the presence of liquid water in the snow matrix and in situ T in the 37 and 89 GHz frequencies. When considering T ratios utilized by popular sea ice concentration algorithms (e.g., NASA Team 2), liquid water presence in the snow matrix was shown to increase the in situ T gradient ratio of 37/19V. In situ gradient ratios of 89/19V and 89/19H were shown to correlate positively with UAV-derived melt pond coverage across the ice surface. Multi-scale comparison between in situ T measurements and satellite-retrieved T (by Advanced Microwave Scanning Radiometer 2) showed a distinct pattern of passive microwave T signature at different stages of melt, confirmed by data from in situ thermophysical measurements. This pattern allowed for both in situ and satellite-retrieved T to be partitioned into three discrete stages of sea ice melt: late spring, early melt and advanced melt. The results of this study thus advance the goal of achieving more accurate modeled predictions of the sea ice cover during the critical navigation and breakup period in Hudson Bay.
Bibliographic Details
10.1525/elementa.412; 10.1525/elementa.412.t4; 10.1525/elementa.412.t3; 10.1525/elementa.412.f1; 10.1525/elementa.412.t2; 10.1525/elementa.412.f3; 10.1525/elementa.412.t6; 10.1525/elementa.412.f5; 10.1525/elementa.412.f7; 10.1525/elementa.412.t10; 10.1525/elementa.412.t7; 10.1525/elementa.412.f4; 10.1525/elementa.412.f2; 10.1525/elementa.412.t1; 10.1525/elementa.412.a2; 10.1525/elementa.412.f8; 10.1525/elementa.412.f10; 10.1525/elementa.412.a1; 10.1525/elementa.412.f9; 10.1525/elementa.412.t5; 10.1525/elementa.412.f6; 10.1525/elementa.412.t9; 10.1525/elementa.412.t8
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85089841270&origin=inward; http://dx.doi.org/10.1525/elementa.412; https://www.elementascience.org/article/10.1525/elementa.412/#T4; http://dx.doi.org/10.1525/elementa.412.t4; https://www.elementascience.org/article/10.1525/elementa.412/#T3; http://dx.doi.org/10.1525/elementa.412.t3; https://www.elementascience.org/article/10.1525/elementa.412/#F1; http://dx.doi.org/10.1525/elementa.412.f1; https://www.elementascience.org/article/10.1525/elementa.412/#T2; http://dx.doi.org/10.1525/elementa.412.t2; https://www.elementascience.org/article/10.1525/elementa.412/#F3; http://dx.doi.org/10.1525/elementa.412.f3; https://www.elementascience.org/article/10.1525/elementa.412/#T6; http://dx.doi.org/10.1525/elementa.412.t6; https://online.ucpress.edu/elementa/article/doi/10.1525/elementa.412/112759/Multi-scale-observations-of-the-co-evolution-of; https://www.elementascience.org/article/10.1525/elementa.412/#F5; http://dx.doi.org/10.1525/elementa.412.f5; https://www.elementascience.org/article/10.1525/elementa.412/#F7; http://dx.doi.org/10.1525/elementa.412.f7; https://www.elementascience.org/article/10.1525/elementa.412/#T10; http://dx.doi.org/10.1525/elementa.412.t10; https://www.elementascience.org/article/10.1525/elementa.412/#T7; http://dx.doi.org/10.1525/elementa.412.t7; https://www.elementascience.org/article/10.1525/elementa.412/#F4; http://dx.doi.org/10.1525/elementa.412.f4; https://www.elementascience.org/article/10.1525/elementa.412/#F2; http://dx.doi.org/10.1525/elementa.412.f2; https://www.elementascience.org/article/10.1525/elementa.412/#T1; http://dx.doi.org/10.1525/elementa.412.t1; https://www.elementascience.org/article/10.1525/elementa.412/#TA2; http://dx.doi.org/10.1525/elementa.412.a2; https://www.elementascience.org/article/10.1525/elementa.412/#F8; http://dx.doi.org/10.1525/elementa.412.f8; https://www.elementascience.org/article/10.1525/elementa.412/#F10; http://dx.doi.org/10.1525/elementa.412.f10; https://www.elementascience.org/article/10.1525/elementa.412/#TA1; http://dx.doi.org/10.1525/elementa.412.a1; https://www.elementascience.org/article/10.1525/elementa.412/#F9; http://dx.doi.org/10.1525/elementa.412.f9; https://www.elementascience.org/article/10.1525/elementa.412/#T5; http://dx.doi.org/10.1525/elementa.412.t5; https://www.elementascience.org/article/10.1525/elementa.412/#F6; http://dx.doi.org/10.1525/elementa.412.f6; https://www.elementascience.org/article/10.1525/elementa.412/#T9; http://dx.doi.org/10.1525/elementa.412.t9; https://www.elementascience.org/article/10.1525/elementa.412/#T8; http://dx.doi.org/10.1525/elementa.412.t8; https://dx.doi.org/10.1525/elementa.412; https://www.elementascience.org/article/10.1525/elementa.412/; https://online.ucpress.edu/elementa/article/doi/10.1525/elementa.412/112759/Multiscale-observations-of-the-coevolution-of-sea; https://online.ucpress.edu/elementa/article-pdf/doi/10.1525/elementa.412/434810/412-7086-1-pb.pdf
University of California Press
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know