Baseline of Next-Generation Arctic Marine Shipping Assessments - Oldest Pan-Arctic Satellite Automatic Identification System (AIS) Data Record of Maritime Ship Traffic, ancillary data 2009-2010

• Main Authors: Paul Arthur Berkman, Greg Fiske, Dino Lorenzini
• Format: Dataset
• Language: unknown
• Published: Arctic Data Center 2020
• Subjects: AMSA; AIS record; Arctic ship traffic; Arctic; Arctic Ocean; Bering Strait; Arctic Climate Impact Assessment; Arctic Council; Sea ice; ice covered waters
• Online Access: https://doi.org/10.18739/A2Z60C32S

The Arctic is prominent in the history of the International Maritime Organization (IMO), following the RMS Titanic disaster in 1912 and soon signing in London of the Convention for the Safety of Life at Sea in 1914. Eighty years later, the IMO initiated a process to manage shipping in ice-covered oceans. In concert with the IMO Guidelines for Ships Operating in Arctic Ice-Covered Waters in 2002 and their 2004 release of the Arctic 2004 Arctic Climate Impact Assessment, the Arctic Council initiated the Arctic Marine Shipping Assessment (AMSA), which issued its final report in 2009. Primary sources of data for AMSA involved ship tracking from ground-station Automatic Identification System (AIS), shore-based radar systems and details of fishing vessels as well as other smaller ships provided by the Arctic nations. However, Arctic ship traffic fundamentally changed the year of the AMSA report, when satellite AIS records began providing continuous, synoptic, pan-Arctic coverage of individual ships with data pulsed over seconds to minutes. This data packages contains data collected by satellite AIS from from 1 September 2009 through 31 December 2010. Future questions can be considered to assess ship attributes (including vessel flag state, size and type) in view of biophysical and socio-economic variables, recognizing that shipping and sea ice are recognized as primary drivers of change in the Arctic Ocean. Contributions to these assessments come from all areas of science (inclusively defined as the study of change), across the natural and social sciences with Indigenous knowledge in an holistic (international, interdisciplinary and inclusive) manner to achieve Arctic sustainability across generations. As a practical outcome in a user-defined manner, this chapter reveals characteristics of next-generation Arctic marine shipping assessments, revealing patterns and trends that can be applied to informed decisionmaking about the governance mechanisms and built infrastructure as well as operations for multilateral stability and sustainable development in the new Arctic Ocean. This dataset contains ancillary data about individual ships monitored using the satellite Automatic Identification System (AIS) for 2009 and 2010.