TY - GEN

T1 - Verification of sea ice drift data obtained from remote sensing information

AU - May, Ruslan I.

N1 - Publisher Copyright: © 2018 IEEE Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2018/10/31

Y1 - 2018/10/31

N2 - The article compares the ice drift detected based on the satellite information, with the data of instrumental measurements in the shelf seas of the Russian Arctic. It is proposed to use the vector correlation and vector RMSE to verify the vector series. The results of the comparison of ice drift vectors detected on the basis of satellite images with instrumental measurements showed that all involved databases (Polar Pathfinder, IFREMER and OSI SAF) describe the ice drift in the shelf seas of the Russian Arctic adequately: the vector correlation coefficient for all data exceeded 0.7, the deviations of the coordinate systems did not exceed 11°, the systematic error was less than 4 cm/s, the semi-major axis of the random error did not exceed 9 cm/s. All three products under consideration can be used to study the synoptic and seasonal variability of drift. The IFREMER data showed the best compliance with the instrumental data.

AB - The article compares the ice drift detected based on the satellite information, with the data of instrumental measurements in the shelf seas of the Russian Arctic. It is proposed to use the vector correlation and vector RMSE to verify the vector series. The results of the comparison of ice drift vectors detected on the basis of satellite images with instrumental measurements showed that all involved databases (Polar Pathfinder, IFREMER and OSI SAF) describe the ice drift in the shelf seas of the Russian Arctic adequately: the vector correlation coefficient for all data exceeded 0.7, the deviations of the coordinate systems did not exceed 11°, the systematic error was less than 4 cm/s, the semi-major axis of the random error did not exceed 9 cm/s. All three products under consideration can be used to study the synoptic and seasonal variability of drift. The IFREMER data showed the best compliance with the instrumental data.

KW - RMSE of vectors

KW - Sea ice drift

KW - Vector correlation

KW - Verification

UR - http://www.scopus.com/inward/record.url?scp=85063143670&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2018.8517650

DO - 10.1109/IGARSS.2018.8517650

M3 - Conference contribution

AN - SCOPUS:85063143670

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 7344

EP - 7347

BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

Y2 - 22 July 2018 through 27 July 2018

ER -