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

Murguia-Flores, Fabiola; Arndt, Sandra; Ganesan, Anita L.; Murray-Tortarolo, Guillermo; Hornibrook, Edward R. C.

doi:https://doi.org/10.5194/gmd-11-2009-2018

Articles | Volume 11, issue 6

https://doi.org/10.5194/gmd-11-2009-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-11-2009-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 11, issue 6

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, Sandra Arndt, Anita L. Ganesan, Guillermo Murray-Tortarolo, and Edward R. C. Hornibrook

Supplement

https://doi.org/10.5194/gmd-11-2009-2018-supplement

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.