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.

Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7344-7347
Number of pages4
ISBN (Electronic)9781538671504
DOIs
StatePublished - 31 Oct 2018
Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Country/TerritorySpain
CityValencia
Period22/07/1827/07/18

    Research areas

  • RMSE of vectors, Sea ice drift, Vector correlation, Verification

    Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

ID: 70161316