Ensemble estimate of global Wetland Methane (CH4) Emissions (2000-2020) (original) (raw)

Published May 26, 2024 | Version v1

Dataset Open

Description

This dataset provides global annual wetland methane (CH4) emissions for 2000-2020 derived from an ensemble simulation of multiple terrestrial biosphere models,as part of the Global Carbon Project's Methane Budget activity. These models simulate the emissions with two climate forcings, CRU (Harris et al., 2014) and GSWP3-W5E5 (Cucchi et al., 2020; Dirmeyer et al., 2006). For more details about this dataset, please refer to Zhang et al. (2024). For the spatio-temporal distribution of wetland estimates from individual models, please contact the respective model groups.

The dataset includes the following:

• Global Total Emissions: Annual global total CH4 emissions.
• Emissions by Latitudinal Bands: Annual CH4 emissions divided into four latitudinal bands:
  • 90S-30S
  • 30S-30N
  • 30N-60N
  • 60N-90N
• Each column in the dataset represents values from individual models by climate forcing.
• Unit: Tg CH4 yr-1

Citation: To use these data, please cite the dataset as follows:

Zhang Z., et al. (2024). Ensemble estimates of global wetland methane emissions over 2000-2020.

References:

Cucchi, M., Weedon, G. P., Amici, A., Bellouin, N., Lange, S., Müller Schmied, H., Hersbach, H., & Buontempo, C. (2020). WFDE5: Bias-adjusted ERA5 reanalysis data for impact studies. Earth System Science Data, 12(3), 2097–2120. https://doi.org/10.5194/essd-12-2097-2020

Dirmeyer, P. A., Gao, X., Zhao, M., Guo, Z., Oki, T., & Hanasaki, N. (2006). GSWP-2: Multimodel Analysis and Implications for Our Perception of the Land Surface. Bulletin of the American Meteorological Society, 87(10), 1381–1398. https://doi.org/10.1175/BAMS-87-10-1381

Harris, I., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014). Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset: UPDATED HIGH-RESOLUTION GRIDS OF MONTHLY CLIMATIC OBSERVATIONS. International Journal of Climatology, 34(3), 623–642. https://doi.org/10.1002/joc.3711

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GCP_totflux_prognostic_Global_TgCH4.csv

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