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Ice thickness data in the northern sea route (NSR) for the period 2006–2016

Cheaitou, Ali, Faury, Olivier, Cariou, Pierre, Hamdan, s., Fabbri, Gregory (2019) Ice thickness data in the northern sea route (NSR) for the period 2006–2016. Data in Brief, 24 . p. 103925. ISSN 2352-3409. (doi:10.1016/j.dib.2019.103925) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91466)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://dx.doi.org/10.1016/j.dib.2019.103925

Abstract

This data article includes the datasets of the mean and the standard deviation of ice thickness in a set of sailing zones for a sailing route that goes through the Northern Sea Route (NSR) between Murmansk and Pusan. The route under consideration is between the longitudes 33° 45′ 0″ and 129° 3′ 60″ and the latitudes 69° 24′ 27″ and 35° 6′ 0″ that correspond to the ports of Murmansk (Russia) in the west and Pusan (China) in the east respectively. Within this area, the part that is between the longitude 57° 0′ 0″ and −168° 58′ 0″ and the latitude 70° 27′ 18″ and 69° 6′ 0″ correspond to the NSR. This route has been divided into 49 subzones, and each subzone into squares of 12.5km of side following the data structure of the database Copernicus 1. The detailed coordinates of the subzones (longitude and latitude) are provided in the article. The daily ice thickness for the period between January 1, 2006 and December 31, 2016 has been obtained for each of the 12.5km sided squares. This data article provides the normality test outcomes and the corresponding p-value of the ice thickness data for each subzone on each calendar day. Moreover, the mean and the standard deviation of the ice thickness in each subzone are also provided. The data provided in this data article can be very helpful for researchers for different applications related to the weather conditions in the NSR zone or to shipping related issues. For instance, the data provided in this paper can be used to investigate the change in ice thickness in the NSR over the period 2006–2016 and to estimate future changes. Another potential application is the estimation of the need for icebreaker assistance as well as the possible ranges for the vessel sailing speed based on the vessel type and for any navigation day in any of the NSR zones. In addition, this data can be used to estimate the risk of blockage for any vessel type because of ice conditions in the NSR zones. It can be helpful to estimate the economic viability of shipping through the NSR since the icebreaker assistance, the speed and the risk of blockage have an effect on the profitability of the shipping lines that may use the NSR.

Item Type: Article
DOI/Identification number: 10.1016/j.dib.2019.103925
Uncontrolled keywords: Northern sea route (NSR), Copernicus database, Ice thickness variability, Weather conditions, Shipping, Maritime logistics, Ice melting forecasting
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Sadeque Hamdan
Date Deposited: 10 Nov 2021 11:38 UTC
Last Modified: 04 Mar 2024 17:14 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/91466 (The current URI for this page, for reference purposes)

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