Articles | Volume 17, issue 6
https://doi.org/10.5194/essd-17-2553-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-2553-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
ARGO: ARctic greenhouse Gas Observation metadata version 1
Max Planck Institute for Biogeochemistry, Jena, Germany
Martijn M. T. A. Pallandt
Max Planck Institute for Biogeochemistry, Jena, Germany
Luana S. Basso
Max Planck Institute for Biogeochemistry, Jena, Germany
Abdullah Bolek
Max Planck Institute for Biogeochemistry, Jena, Germany
Kseniia Ivanova
Max Planck Institute for Biogeochemistry, Jena, Germany
Mark Schlutow
Max Planck Institute for Biogeochemistry, Jena, Germany
Gerardo Celis
Department of Anthropology and Environmental Dynamics Program, University of Arkansas, Fayetteville, AR, USA
McKenzie Kuhn
Department of Geography, University of British Columbia, Vancouver, BC, Canada
Marguerite Mauritz
Biological Sciences, Environmental Science and Engineering, University of Texas at El Paso, El Paso, TX, USA
Edward A. G. Schuur
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
Kyle Arndt
Woodwell Climate Research Center, Falmouth, MA, USA
Anna-Maria Virkkala
Woodwell Climate Research Center, Falmouth, MA, USA
Isabel Wargowsky
Woodwell Climate Research Center, Falmouth, MA, USA
Mathias Göckede
Max Planck Institute for Biogeochemistry, Jena, Germany
Data sets
The ARctic greenhouse Gas Observation meta-database (ARGO) Judith Vogt et al. https://doi.org/10.5281/zenodo.13870389
Model code and software
ARGO interactive online tool: v1.0 Judith Vogt et al. https://doi.org/10.5281/zenodo.12795380
Short summary
We present a meta-dataset of greenhouse gas observations in the Arctic and boreal regions, including information on sites where greenhouse gases have been measured using different measurement techniques. We provide a novel repository of metadata to facilitate synthesis efforts for regions undergoing rapid environmental change. The meta-dataset shows where measurements are missing and will be updated as new measurements are published.
We present a meta-dataset of greenhouse gas observations in the Arctic and boreal regions,...
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