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Marcin Jackowicz-Korczynski

Forskningsingenjör

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A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas

Författare

  • Søren Rysgaard
  • Kim Bjerge
  • Wieter Boone
  • Egon Frandsen
  • Michael Graversen
  • Toke Thomas Høye
  • Bjarne Jensen
  • Geoffrey Johnen
  • Marcin Antoni Jackowicz-Korczynski
  • Jeffrey Taylor Kerby
  • Simon Kortegaard
  • Mikhail Mastepanov
  • Claus Melvad
  • Peter Schmidt Mikkelsen
  • Keld Mortensen
  • Carsten Nørgaard
  • Ebbe Poulsen
  • Tenna Riis
  • Lotte Sørensen
  • Torben Røjle Christensen
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Summary, in English

Climate change is rapidly altering the Arctic environment. Although long-term environmental observations have been made at a few locations in the Arctic, the incomplete coverage from ground stations is a main limitation to observations in these remote areas. Here we present a wind and sun powered multi-purpose mobile observatory (ARC-MO) that enables near real time measurements of air, ice, land, rivers, and marine parameters in remote off-grid areas. Two test units were constructed and placed in Northeast Greenland where they have collected data from cabled and wireless instruments deployed in the environment since late summer 2021. The two units can communicate locally via WiFi (units placed 25 km apart) and transmit near-real time data globally over satellite. Data are streamed live and accessible from (https://gios.org). The cost of one mobile observatory unit is c. 304.000€. These test units demonstrate the possibility for integrative and automated environmental data collection in remote coastal areas and could serve as models for a proposed global observatory system.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap

Publiceringsår

2022-10

Språk

Engelska

Publikation/Tidskrift/Serie

HardwareX

Volym

12

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Meteorology and Atmospheric Sciences

Nyckelord

  • Arctic
  • Autonomous
  • Environment
  • Near-real time
  • Observatory
  • Remote

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 2468-0672