Uncertainty assessment of Antarctic sea ice motion product at the National Snow and Ice Data Center (NSIDC)
Abstract. The recent historic minima in Antarctic sea ice extent suggest the possibility of new thermodynamic and dynamic conditions across the Southern Ocean. In investigating these thermodynamic and dynamic sea ice behaviors, it is essential to observe sea ice drift with high quality. However, while the relatively abundant and reliable buoy data in the Arctic guarantees a robust Arctic sea ice drift observation, the Antarctic sea ice drift product merely relies on passive microwave (PMW) data due to the lack of pan-Antarctic drifting buoy data. In this study, we assess the uncertainty of the Antarctic sea ice drift product from 2015 to 2023 by using drifting buoys in the Weddell Sea and synthetic aperture radar (SAR) sea ice drift across the Southern Ocean. The comparison between PMW and buoy ice drift shows that PMW-derived sea ice drift tends to underestimate drift speed by 2–3 km d-1, particularly under low ice concentration conditions, while drift direction agrees well with a marginal bias. Based on the accurate high-resolution sea ice drift estimation from SAR imagery (-6° of angle difference and 0.1 km d-1 of speed difference with buoy ice drift), we assess the pan-Antarctic uncertainties of PMW sea ice drift. We found a widespread ∼11 km d-1 underestimation of ice drift speed across the Southern Ocean, particularly in the east Weddell Sea and west Ross Sea. Ice drift direction generally shows negligible bias across the Southern Ocean, but the east Weddell Sea shows 10–20° of clockwise bias. Such a wide underestimation is attributed to the optimal interpolation that smooths ice velocity and raises uncertainties around the marginal ice zone. Based on this understanding of PMW-derived Antarctic sea ice drift estimation, it is important to improve the sea ice velocity estimation in the Southern Ocean.
In this manuscript, the authors assess the performance of the long-term Antarctic sea ice motion product derived from passive microwave (PMW) observations at NSIDC using buoy observations and high-resolution SAR-derived sea ice drift data. The authors show that the PMW-derived Antarctic sea ice drift generally agrees well with both SAR and buoy observations. However, they also identify a systematic underestimation of sea ice drift speed in the PMW product, particularly in regions where sea ice concentration (SIC) is lower than 50%. The authors further suggest that the optimal interpolation procedure is likely responsible for this behavior.
Overall, I found the objectives and conclusions of this manuscript clear and easy to follow. The analyses are generally solid, and the manuscript is well organized. I enjoyed reading this paper. I recommend minor revisions before the manuscript can be accepted for publication.
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Reference: Lavergne, T. and Down, E.: A climate data record of year-round global sea-ice drift from the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF), Earth Syst. Sci. Data, 15, 5807–5834, https://doi.org/10.5194/essd-15-5807-2023, 2023
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