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Arctic observations and sustainable development goals: Contributions and examples from ERA-PLANET iCUPE data

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Steffen M. Noe, Estonian University of Life Sciences
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  • Ksenia Tabakova, University of Helsinki
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  • Alexander Mahura, University of Helsinki
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  • Hanna K. Lappalainen, University of Helsinki
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  • Miriam Kosmale, Finnish Meteorological Institute
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  • Jyri Heilimo, Finnish Meteorological Institute
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  • Roberto Salzano, CNR
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  • Mattia Santoro, CNR
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  • Rosamaria Salvatori, CNR
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  • Andrea Spolaor, CNR, Ca’ Foscari University of Venice
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  • Warren Cairns, CNR, Ca’ Foscari University of Venice
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  • Carlo Barbante, CNR, Ca’ Foscari University of Venice
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  • Fidel Pankratov, Russian Academy of Sciences
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  • Angelika Humbert, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, University of Bremen
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  • Jeroen E. Sonke, Universite Toulouse III - Paul Sabatier
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  • Kathy S. Law, Sorbonne Université
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  • Tatsuo Onishi, Sorbonne Université
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  • Jean Daniel Paris, CEA
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  • Henrik Skov
  • Andreas Massling
  • Aurélien Dommergue, Universite Grenoble Alpes
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  • Mikhail Arshinov, RAS - Institute for Atmospheric Optics, Siberian Branch
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  • Denis Davydov, RAS - Institute for Atmospheric Optics, Siberian Branch
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  • Boris Belan, RAS - Institute for Atmospheric Optics, Siberian Branch
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  • Tuukka Petäjä, University of Helsinki

Integrative and Comprehensive Understanding on Polar Environments (iCUPE) project developed 24 novel datasets utilizing in-situ observational capacities within the Arctic or remote sensing observations from ground or from space. The datasets covered atmospheric, cryospheric, marine, and terrestrial domains. This paper connects the iCUPE datasets to United Nations’ Sustainable Development Goals and showcases the use of selected datasets as knowledge provision services for policy- and decision-making actions. Inclusion of indigenous and societal knowledge into the data processing pipelines enables a feedback mechanism that facilitates data driven public services.

Original languageEnglish
JournalEnvironmental Science and Policy
Volume132
Pages (from-to)323-336
Number of pages14
ISSN1462-9011
DOIs
Publication statusPublished - Jun 2022

    Research areas

  • Arctic data, Data driven public services, In-situ, Mercury, Remote sensing, Sustainable development

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