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Global Wetland Methane Emissions derived from FLUXNET and the UpCH4 Model, 2001-2018

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/2253
Version1
Project
Published2024-01-18
Usage283 downloads
Citations1 publication cited this dataset

Description

This dataset provides monthly globally gridded freshwater wetland methane emissions from 2001-2018 in nmol CH4 m-2 s-1, g C-CH4 m-2 d-1, and TgCH4 grid cell-1 month-1. The data were derived from a six-predictor random forest upscaling model (UpCH4) trained on 119 site-years of eddy covariance CH4 flux data from 43 freshwater wetland sites covering bog (8), fen (8), marsh (10), swamp (6), and wet tundra (11) wetland classes and distributed across Arctic-boreal (20), temperate (16), and (sub)tropical (7) climate zones. Weekly mean CH4 fluxes were computed from half-hourly FLUXNET-CH4 Version 1.0 fluxes. Each grid cell CH4 flux prediction was weighted by fractional grid cell wetland extent to estimate CH4 emissions using the primary global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) product and an alternate Global Inundation Estimate from Multiple Satellites GIEMS version 2 global wetland map. Both WAD2M and GIEMS-2 maps were modified with several correction data layers to represent the monthly area covered by vegetated wetlands, excluding open water and coastal wetlands. The data products are: mean daily fluxes with no adjustment for wetland area (i.e., flux densities assuming hypothetical 100% wetland cover); mean daily fluxes adjusting for WAD2M or GIEMS-2 wetland area; and by-pixel monthly sum of freshwater wetland methane emissions adjusting for WAD2M or GIEMS-2 wetland area. The data are provided in NetCDF4 format.

Science Keywords

  • ATMOSPHERE
  • ATMOSPHERIC CHEMISTRY
  • CARBON AND HYDROCARBON COMPOUNDS
  • METHANE
  • TERRESTRIAL HYDROSPHERE
  • SURFACE WATER
  • SURFACE WATER PROCESSES/MEASUREMENTS
  • TERRESTRIAL HYDROSPHERE
  • SURFACE WATER
  • SURFACE WATER FEATURES
  • WETLANDS

Data Use and Citation

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Crosscite Citation Formatter
McNicol, G., E. Fluet-Chouinard, Z. Ouyang, S.H. Knox, Z. Zhang, T. Aalto, S. Bansal, K.-Y. Chang, M. Chen, K. Delwiche, S.C. Feron, M. Goeckede, J. Liu, A. Malhotra, J.R. Melton, W. Riley, R. Vargas, K. Yuan, Q. Ying, Q. Zhu, P. Alekseychik, M. Aurela, D.P. Billesbach, D.I. Campbell, J. Chen, H. Chu, A.R. Desai, S.E. Euskirchen, J. Goodrich, T. Griffis, M. Helbig, T. Hirano, H. Iwata, G. Jurasinski, J. King, F. Koebsch, R. Kolka, K.W. Krauss, A. Lohila, I. Mammarella, M.B. Nilsson, A. Noormets, W. Oechel, M. Peichl, T. Sachs, A. Sakabe, C. Schulze, O. Sonnentag, R.C. Sullivan, E.S. Tuittila, M. Ueyama, T. Vesala, E.J. Ward, C. Wille, G.X. Wong, D. Zona, L. Windham-Myers, B. Poulter, and R.B. Jackson. 2023. Global Wetland Methane Emissions derived from FLUXNET and the UpCH4 Model, 2001-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2253

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.

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Companion Files

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Dataset has 1 companion files.

  • Global_Freshwater_CH4Emissions.pdf