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Validation of remote-sensing products of sea-ice motion: a case study in the western Arctic Ocean

Journal of Glaciology 2020 15 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Dawei Gui, Mengxi Zhai, Ruibo Lei Mengxi Zhai, Ruibo Lei Ruibo Lei Dawei Gui, Jennifer Hutchings, Mengxi Zhai, Xiaoping Pang, Mengxi Zhai, Jennifer Hutchings, Xiaoping Pang, Guangyu Zuo, Xiaoping Pang, Mengxi Zhai, Mengxi Zhai, Ruibo Lei Ruibo Lei Ruibo Lei

Summary

This study validated satellite-derived sea-ice motion products against GPS drifter data in the western Arctic Ocean, finding both products were statistically accurate with some systematic biases. The work is focused on remote sensing validation and is not directly related to microplastics.

Study Type Environmental

Abstract The accuracy of sea-ice motion products provided by the National Snow and Ice Data Center (NSIDC) and the Ocean and Sea Ice Satellite Application Facility (OSI-SAF) was validated with data collected by ice drifters that were deployed in the western Arctic Ocean in 2014 and 2016. Data from both NSIDC and OSI-SAF products exhibited statistically significant ( p < 0.001) correlation with drifter data. The OSI-SAF product tended to overestimate ice speed, while underestimation was demonstrated for the NSIDC product, especially for the melt season and the marginal ice zone. Monthly Lagrangian trajectories of ice floes were reconstructed using the products. Larger spatial variability in the deviation between NSIDC and drifter trajectories was observed than that of OSI-SAF, and seasonal variability in the deviation for NSIDC was observed. Furthermore, trajectories reconstructed using the NSIDC product were sensitive to variations in sea-ice concentration. The feasibility of using remote-sensing products to characterize sea-ice deformation was assessed by evaluating the distance between two arbitrary positions as estimated by the products. Compared with the OSI-SAF product, relative errors are lower (<11.6%), and spatial-temporal resolutions are higher in the NSIDC product, which makes it more suitable for estimating sea-ice deformation.

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