Difference in sea-ice presence across observational datasets ...
There are currently several observational sea ice concentration datasets, as well as analysis and process based datasets that provide similar records of sea ice concentration or presence. Prior studies have found that the use of distinct retrieval algorithms with the same radiometric measurements, o...
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| Format: | Text |
| Language: | unknown |
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Zenodo
2023
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| Online Access: | https://dx.doi.org/10.5281/zenodo.7760458 https://zenodo.org/record/7760458 |
| Summary: | There are currently several observational sea ice concentration datasets, as well as analysis and process based datasets that provide similar records of sea ice concentration or presence. Prior studies have found that the use of distinct retrieval algorithms with the same radiometric measurements, or measurements from different instruments, results in differences in the sea ice concentration record among the datasets. Consequently, different sea ice edge position estimates can be expected from these products. Here, we analyze 5 observational and analysis datasets, and measure the mismatch between them pairwise in terms of Integrated Ice Edge Error (IIEE), with the highest IIEE between observations reaching 1.25 million square kms in the Arctic (for an ice extent of 7.58 million square kms) and 2.31 million square kmsin the Antarctic (for an ice extent of 7.73 million square kms). We also suggest a novel approach for measuring the uncertainty in the observations using a probabilistic ensemble based on these ... |
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