Articles | Volume 11, issue 6
Geosci. Model Dev., 11, 2009–2032, 2018
https://doi.org/10.5194/gmd-11-2009-2018
Geosci. Model Dev., 11, 2009–2032, 2018
https://doi.org/10.5194/gmd-11-2009-2018

Model description paper 04 Jun 2018

Model description paper | 04 Jun 2018

Soil Methanotrophy Model (MeMo v1.0): a process-based model to quantify global uptake of atmospheric methane by soil

Fabiola Murguia-Flores et al.

Data sets

Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset (https://crudata.uea.ac.uk/cru/data/hrg/) I. Harris, P. D. Jones, T. J. Osborn, and D. H. Lister https://doi.org/10.1002/joc.3711

Estimating historical changes in global land cover: Croplands from 1700 to 1992 (https://nelson.wisc.edu/sage/data-and-models/global-potential-vegetation/index.php) N. Ramankutty and J. A. Foley https://doi.org/10.1029/1999GB900046

The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements (http://www.esa-soilmoisture-cci.org/) W. A. Dorigo, W. Wagner, R. Hohensinn, S. Hahn, C. Paulik, A. Xaver, A. Gruber, M. Drusch, S. Mecklenburg, P. van Oevelen, A. Robock, and T. Jackson, T. https://doi.org/10.5194/hess-15-1675-2011

Recent trends and drivers of regional sources and sinks of carbon dioxide (http://dods.lsce.ipsl.fr//invsat/RECCAP/) S. Sitch et al. https://doi.org/10.5194/bg-12-653-2015

Multi-model mean nitrogen and sulfur deposition from the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): evaluation of historical and projected future changes (https://www.isimip.org/gettingstarted/details/24/) J.-F. Lamarque et al. https://doi.org/10.5194/acp-13-7997-2013

Reconstruction of spatially detailed global map of NH4+ and NO3− application in synthetic nitrogen fertilizer K. Nishina, A. Ito, N. Hanasaki, and S. Hayashi https://doi.org/10.5194/essd-9-149-2017

A global soil data set for earth system modelling W. Shangguan, Y. Dai, Q. Duan, B. Liu, and H. Yuan https://doi.org/10.1002/2013MS000293

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Short summary
Soil bacteria known as methanotrophs are the only biological sink for atmospheric methane (CH4). Their activity depends on climatic and edaphic conditions, thus varies spatially and temporarily. Based on this, we developed a model (MeMo v1.0) to assess the global CH4 consumption by soils. The global CH4 uptake was 33.5 Tg CH4 yr-1 for 1990–2009, with an increasing trend of 0.1 Tg CH4 yr-2. The regional analysis proved that warm and semiarid regions represent the most efficient CH4 sink.