Articles | Volume 11, issue 3
Earth Syst. Sci. Data, 11, 1263–1289, 2019
https://doi.org/10.5194/essd-11-1263-2019
Earth Syst. Sci. Data, 11, 1263–1289, 2019
https://doi.org/10.5194/essd-11-1263-2019

Review article 22 Aug 2019

Review article | 22 Aug 2019

Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations

Olli Peltola et al.

Data sets

Dataset for "Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations" O. Peltola, T. Vesala, Y. Gao, O. Räty, P. Alekseychik, M. Aurela, B. Chojnicki, A. R. Desai, A. J. Dolman, E. S. Euskirchen, T. Friborg, M. Göckede, M. Helbig, E. Humphreys, R. B. Jackson, G. Jocher, F. Joos, J. Klatt, S. H. Knox, N. Kowalska, L. Kutzbach, S. Lienert, A. Lohila, I. Mammarella, D. F. Nadeau, M. B. Nilsson, W. C. Oechel, M. Peichl, T. Pypker, W. Quinton, J. Rinne, T. Sachs, M. Samson, H. P. Schmid, O. Sonnentag, C. Wille, D. Zona, and T. Aalto https://doi.org/10.5281/zenodo.3247295

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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.