Deliverable 7.15 Summary for Policy Makers

This report presents examples of how INTAROS has contributed to several of EU’s Arctic policy goals, in particular to promote science, research and innovation, contribute to safety and support people living and working in the Arctic. The report also links project results to the UN Sustainable Develo...

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Bibliographic Details
Main Authors: Higgins, Ruth M., Bryton, Sergio, Sandven, Stein
Format: Report
Language:English
Published: Zenodo 2022
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7181211
Description
Summary:This report presents examples of how INTAROS has contributed to several of EU’s Arctic policy goals, in particular to promote science, research and innovation, contribute to safety and support people living and working in the Arctic. The report also links project results to the UN Sustainable Development Goals. INTAROS has demonstrated how an integrated Arctic observation system is built on many observing sensors and platforms. For land-based observations, a number of in situ systems are installed and operated at research stations and temporary camps around the Arctic. For ocean-based observations, there is a difference between ice-free and ice-covered areas. In ice-free areas of the sub-Arctic regions, ships, floats, gliders, moorings,and various surface platforms are commonly used. However, several of the platforms, such as floats, gliders, and sail-buoys, have limited capability to operate in the presence of sea ice. In ice-covered areas it is required to use icebreakers for deployment and recovery office-based platforms and underwater moorings. These operations are much more complex and time demanding than using observing systems in open ocean. The data value-chain ranges from raw data produced by sensors and instruments to higher-level information products. The in situ data is the basis for scientific analysis, as well as development and validation of models and remote sensing algorithms. Community-Based Monitoring (CBM) systems are complementary to scientific observing system, where data are collected by local communities to support their requirements for information about climate change, natural resources, and other topics. Development of an integrated Arctic observation system requires that data management and data sharing within and between disciplines can function.This is a challenge due to the heterogeneity and complexity of observational data collected in various geoscience and bioscience disciplines. With development of new instruments and platforms, the amount of environmental data collected is ...