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S. Nevertheless, the freeboard differences among MYI and FYI and also the
S. Nonetheless, the freeboard differences between MYI and FYI and the cross-validation with the NSIDC freeboard solution showed that our lead detection outcome was affordable and compatible with other lead detection items. Remote Sens. 2021, 13,decrease R and larger root mean square error (RMSE) than the other years (Table 8 and Figure 7), which may be due to the reduced classification accuracy of those years (Table six). Some misclassified leads can make substantial differences in estimation of sea surface height, eventually top to the differences in between our freeboard estimation and also the NSIDC freeboard solutions. Nevertheless, the freeboard variations amongst MYI and FYI and also the cross-validation 12 of 18 using the NSIDC freeboard item showed that our lead detection result was affordable and compatible with other lead detection products.Figure six. Averaged ATM freeboard for just about every 25 km for every year. Figure six. Averaged ATM freeboard for every 25 km for each year. Table 7. ATM sea ice freeboard retrieved from the DMS lead detection. Table 7. ATM sea ice freeboard retrieved from the DMS lead detection. YearYear 20132013 20142014 20152015 20162016 20172017 20182018 FYI 0.263 0.263 0.277 0.275 0.335 0.211 0.320 0.MYIMYI 0.519 0.519 0.339 0.339 0.470 0.470 0.398 0.398 0.467 0.467 0.505 0.Total Total 0.409 0.409 0.320 0.320 0.407 0.407 0.354 0.354 0.366 0.366 0.414 0.Table eight. R and RMSE in between our freeboard estimation and NSIDC freeboard estimation. Table 8. R and RMSE among our freeboard estimation and NSIDC freeboard estimation. Year Year 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 Total Total R R 0.928 0.928 0.907 0.907 0.755 0.755 0.784 0.784 0.742 0.742 0.869 0.869 0.832 0.832 RMSD (m) RMSD (m) 0.089 0.089 0.063 0.063 0.140 0.140 0.114 0.114 0.119 0.119 0.082 0.082 0.105 0.Remote Sens. 2021, 13, x FOR PEER REVIEW13 ofFigure 7. Scatter plot among ATM freeboard derived by our lead detection and NSIDC freeboard Figure 7. Scatter plot amongst ATM freeboard derived by our lead detection and NSIDC freeboard product for each 400 m (2 random choice of the total points). four.3. Sea Ice Lead Fraction Modelproduct for every 400 m (two random choice of the total points). ling with Auxiliary Sea Ice ProductIn general, March and April have the lowest lead fraction and lead frequency within a year due to the very packed sea ice conditions [5,23]. Since the OIB missions were conducted throughout these months of packed sea ice, the widths of person Cy5-DBCO supplier observed leads were generally much less than 1 km. Indeed, as shown in Figure 5b, most leads had less than 0.Remote Sens. 2021, 13,Figure 7. Scatter plot in between ATM freeboard derived by our lead detection and NSIDC freeboard product for each 400 m (2 random choice of the total points). 4.three. Sea Ice Lead Fraction Modelling with Auxiliary Sea Ice Product13 of4.three. Sea Ice Lead Fraction Modelling with Auxiliary Sea Ice Product In general, March and April possess the lowest lead fraction and lead frequency in a In general, March and April have the lowest lead fraction and lead frequency inside a year because of the extremely packed sea ice conditions [5,23]. Since the OIB missions had been year due to the hugely packed sea ice circumstances [5,23]. Because the OIB missions had been carried out throughout these months of packed sea ice, the widths of person observed leads conducted throughout these months of packed sea ice, the widths of individual observed leads had been typically significantly less than 1 km. Certainly, shown in Fig.

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