Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1263-2019
© Author(s) 2019. 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-11-1263-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
22 Aug 2019
Review article |
| 22 Aug 2019
| 22 Aug 2019
Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations
Climate Research Programme, Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Timo Vesala
Institute for Atmosphere and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 68, 00014 Helsinki, Finland
Institute for Atmospheric and Earth System Research/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, 00014, Helsinki, Finland
Climate Research Programme, Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Olle Räty
Meteorological Research, Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Pavel Alekseychik
Natural Resources Institute Finland (LUKE), 00790 Helsinki, Finland
Mika Aurela
Climate Research Programme, Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Bogdan Chojnicki
Department of Meteorology, Faculty of Environmental Engineering and Spatial Management, Poznań University of Life Sciences, 60-649 Poznań, Poland
Ankur R. Desai
Department of Atmospheric and Oceanic Sciences, University of
Wisconsin-Madison, 1225 W Dayton St, Madison, WI 53706, USA
Albertus J. Dolman
Department of Earth Sciences, Faculty of Sciences, Vrije Universiteit Amsterdam, Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
Eugenie S. Euskirchen
University of Alaska Fairbanks, Institute of Arctic Biology, 2140 Koyukuk Dr., Fairbanks, AK 99775, USA
Thomas Friborg
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
Mathias Göckede
Max Planck Institute for Biogeochemistry, Hans-Knöll-Strasse 10, 07745 Jena, Germany
Manuel Helbig
School of Geography and Earth Sciences, McMaster University,
Hamilton, ON L8S 4K1, Canada
Département de géographie, Université de Montréal, Montréal, QC H2V 3W8, Canada
Elyn Humphreys
Department of Geography & Environmental Studies, Carleton
University, Ottawa, ON K1S 5B6, Canada
Robert B. Jackson
Department of Earth System Science, Woods Institute for the
Environment, and Precourt Institute for Energy, Stanford University,
Stanford, CA 94305, USA
Georg Jocher
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
now at: Department of Matter and Energy Fluxes, Global Change Research Institute, Czech Academy of Sciences, Bělidla 986/4a,
603 00 Brno, Czech Republic
Fortunat Joos
Climate and Environmental Physics, Physics Institute and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Janina Klatt
Institute of Meteorology and Climatology – Atmospheric
Environmental Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Kreuzeckbahnstrasse 19, 82467 Garmisch-Partenkirchen, Germany
Sara H. Knox
Department of Geography, The University of British Columbia,
Vancouver, BC V6T 1Z2,Canada
Natalia Kowalska
Department of Meteorology, Faculty of Environmental Engineering and Spatial Management, Poznań University of Life Sciences, 60-649 Poznań, Poland
now at: Department of Matter and Energy Fluxes, Global Change Research Institute, Czech Academy of Sciences, Bělidla 986/4a,
603 00 Brno, Czech Republic
Lars Kutzbach
Institute of Soil Science, Center for Earth System Research and Sustainability, Universität Hamburg, Allende-Platz 2, 20146 Hamburg, Germany
Sebastian Lienert
Climate and Environmental Physics, Physics Institute and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Annalea Lohila
Climate Research Programme, Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Institute for Atmosphere and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 68, 00014 Helsinki, Finland
Ivan Mammarella
Institute for Atmosphere and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 68, 00014 Helsinki, Finland
Daniel F. Nadeau
Department of Civil and Water Engineering, Université Laval, Québec, QC G1V 0A6, Canada
Mats B. Nilsson
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
Walter C. Oechel
Global Change Research Group, Dept. Biology, San Diego State
University, San Diego, CA 92182, USA
Department of Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, UK
Matthias Peichl
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
Thomas Pypker
Department of Natural Resource Sciences, Thompson Rivers University, Kamloops, BC V2C 0C8, Canada
William Quinton
Cold Regions Research Centre, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada
Janne Rinne
Department of Physical Geography and Ecosystem Science, Lund
University, Lund, Sweden
Torsten Sachs
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Mateusz Samson
Department of Meteorology, Faculty of Environmental Engineering and Spatial Management, Poznań University of Life Sciences, 60-649 Poznań, Poland
Hans Peter Schmid
Institute of Meteorology and Climatology – Atmospheric
Environmental Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Kreuzeckbahnstrasse 19, 82467 Garmisch-Partenkirchen, Germany
Oliver Sonnentag
Département de géographie, Université de Montréal, Montréal, QC H2V 3W8, Canada
Christian Wille
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Donatella Zona
Global Change Research Group, Dept. Biology, San Diego State
University, San Diego, CA 92182, USA
Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK
Tuula Aalto
Climate Research Programme, Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
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- Final revised paper (published on 22 Aug 2019)
- Preprint (discussion started on 20 Feb 2019)
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
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RC1: 'Comments on "Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations"', Anonymous Referee #1, 11 Apr 2019
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RC2: 'comments on "Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations"', Anonymous Referee #2, 17 Apr 2019
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AC1: 'Author replies to both referees', Olli Peltola, 16 Jun 2019
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Olli Peltola on behalf of the Authors (20 Jun 2019)
ED: Publish as is (16 Jul 2019) by David Carlson
AR by Olli Peltola on behalf of the Authors (18 Jul 2019)
Manuscript
Short summary
Here we develop a monthly gridded dataset of northern (> 45 N) wetland methane (CH4) emissions. The data product is derived using a random forest machine-learning technique and eddy covariance CH4 fluxes from 25 wetland sites. Annual CH4 emissions from these wetlands calculated from the derived data product are comparable to prior studies focusing on these areas. This product is an independent estimate of northern wetland CH4 emissions and hence could be used, e.g. for process model evaluation.
Here we develop a monthly gridded dataset of northern ( 45 N) wetland methane (CH4) emissions....
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Final-revised paper
Preprint