Risk Index Outcome Dataset for Arctic Navigation of Ice-Class Arc7 Vessels Based on the POLARIS Methodology (2014-2023)
QIAN Sihan1,2,3GUO Zekun1,2,3
1 Naval Architecture and Shipping College，Guangdong Ocean University，Zhanjiang 524088，China2 Guangdong Provincial Key Laboratory of Intelligent Equipment for South China Sea Marine Ranching，Guangdong Ocean University，Zhanjiang 524088，China3 Shenzhen Institute of Guangdong Ocean University，Shenzhen 518116，China
DOI:10.3974/geodb.2025.11.09.V1
Published:Nov. 2025
Visitors：38 Data Files Downloaded：0
Data Downloaded： 无 Citations：
Key Words：
POLARIS,Arctic water,Arc7 ice-class vessels,navigation risk
Abstract：
The authors took a case study to evaluate navigation risks in Arctic waters. Based on sea ice data from 2014 to 2023, the authors use the Polar Operational Limit Assessment Risk Indexing System (POLARIS) to analyze the Arc7 ice-class vessels Risk Index Outcome (RIO). It includes RIO values and land cover types for Arc7 ice-class vessels, recorded at 7-day intervals from 2014 to 2021 and at 14-day intervals from 2022 to 2023. The RIO values typically range between -30 and 30, with -100 indicating impassable conditions. Land cover is categorized into 5 types: land (L), ice (I), water (W), ice shelf/land ice (S), and no data (N). The dataset is archived in .shp format, and consists of 2,554 files with data size of 5.44 GB (compressed into 3 files, 3.71 GB). The analysis paper based on the dataset has been published in the Journal of Marine Science and Engineering, Volume 12, Issue 12, 2024.
Foundation Item：
Guangdong Ocean University (060302132106, 080508132401, 202421); Guangdong Provincial Natural Science Foundation (2022A1515011603, 2023A1515011212); Department of Education of Guangdong Province (2022ZDZX3005); Natural Science Foundation of Shenzhen (JCYJ20220530162200001)
Data Citation：
QIAN Sihan, GUO Zekun. Risk Index Outcome Dataset for Arctic Navigation of Ice-Class Arc7 Vessels Based on the POLARIS Methodology (2014-2023)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.11.09.V1.
References：
[1] Anon. SIGRID-3: a vector archive format for sea ice georeferenced information and data. Version 3.0 [J/OL]. (2021-08-02) [2024-12-24]. https://repository.oceanbestpractices.org/handle/11329/97.2. DOI: 10.25607/OBP-1498.
[2] Maritime Safety Committee. Guidance on methodologies for assessing operational capabilities and limitations in ice [R]. Tech. Rep. MSC. 1/Circ. 1519, International Maritime Organization, London. 2016. https://www.nautinst. org/uploads/assets/uploaded/2f01665c-04f7-4488-802552e5b5db62d9.pdf, 2016.
[3] Canadian Ice Service. Canadian Ice Service Arctic regional sea ice charts in SIGRID-3 format, Version 1 [DB/OL]. NSIDC. 2009. https://nsidc.org/data/g02171/versions/1. DOI: 10.7265/N51V5BW9.
[4] Bond, J., Hindley, R., Kendrick, A., et al. Evaluating risk and determining operational limitations for ships in ice [C]//OTC Arctic Technology Conference. OTC, 2018: D023S013R002.
[5] Bond, J., Oldford, D. Use of environmental data to estimate polar waters operational window [C]//OTC Arctic Technology Conference. OTC, 2018: D023S013R003.
[6] Panchi, N., Kim, E., Xu, S. Do vessels remain within their operational limitations in ice? analyzing the risks of vessels operating in the Kara Sea Region using POLARIS [C]//International Conference on Offshore Mechanics and Arctic Engineering. American Society of Mechanical Engineers, 2020, 84393: V007T07A007.
[7] Chen, M. Characteristics of the LNG Carrier with high ice class [J]. Journal of Ship Design, 2020(2): 7-12.
[8] Sibul, G., Jin, J. G. Evaluating the feasibility of combined use of the Northern Sea Route and the Suez Canal Route considering ice parameters [J]. Transportation Research Part A: Policy and Practice, 2021, 147: 350-369.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
ArcticRIO_Arc7_2014-2016.rar |
1140055.20KB |
|
| 2 |
ArcticRIO_Arc7_2017-2019.rar |
1371409.51KB |
|
| 3 |
ArcticRIO_Arc7_2020-2023.rar |
1380103.84KB |
|