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Partitioning N2O emissions within the U.S. Corn Belt using an inverse modeling approach

CITE Title : Partitioning N2O emissions within the U.S. Corn Belt using an inverse modeling approach Personal Author(s) : Chen, Zichong;Griffis, Timothy J.;Millet, Dylan B.;Wood, Jeffrey D.;Lee, Xuhui;Baker, John M.;Xiao, Ke;Turner, Peter A.;Chen, Ming;Zobitz, John;Wells, Kelley C.; Published Date : 2016 Source : Global Biogeochemical Cycles, 30(8), 1192-1205 DOI : https://doi.org/10.1002/2015gb005313 Journal Title : Global Biogeochemical Cycles Chen, Zichong et al. (2016). Partitioning N2O emissions within the U.S. Corn Belt using an inverse modeling approach. 30(8). https://doi.org/10.1002/2015gb005313 Chen, Zichong et al. "Partitioning N2O emissions within the U.S. Corn Belt using an inverse modeling approach" 30, no. 8 (2016), https://doi.org/10.1002/2015gb005313 Chen, Zichong et al. "Partitioning N2O emissions within the U.S. Corn Belt using an inverse modeling approach" vol. 30, no. 8, 2016, https://doi.org/10.1002/2015gb005313 Export RIS Citation Information.

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Chen, Zichong ;

Griffis, Timothy J.

2016 | Global Biogeochemical Cycles, 30(8), 1192-1205

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Nitrous oxide (N2O) emissions within the US Corn Belt have been previously estimated to be 200–900% larger than predictions from emission inventorie...

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