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Relating atmospheric N2O concentration to N2O emission strength in the U. S. Corn Belt

Item

Title (Dublin Core)

Relating atmospheric N2O concentration to N2O emission strength in the U. S. Corn Belt

Description (Dublin Core)

Nitrous oxide (N<sub>2</sub>O) has a high global warming potential and depletes stratospheric ozone. The U. S. Corn Belt plays an important role in the global anthropogenic N<sub>2</sub>O budget. To date, studies on local surface N<sub>2</sub>O emission and the atmospheric N<sub>2</sub>O budget have commonly used Lagrangian models. In the present study, we used an Eulerian model &ndash; Weather Research and Forecasting Chemistry (WRF-Chem) model to investigate the relationships between N<sub>2</sub>O emission in the Corn Belt and observed atmospheric N<sub>2</sub>O mixing ratios. Modeled hourly N<sub>2</sub>O mixing ratios were combined with continuous atmospheric N<sub>2</sub>O measurements at the KCMP tall tower in Minnesota to constrain agricultural N<sub>2</sub>O emissions. The modeled spatial patterns of atmospheric N<sub>2</sub>O were validated against discrete observations at multiple tall towers in the NOAA flask network. After optimization of the surface flux, the model reproduced reasonably well the hourly N<sub>2</sub>O mixing ratios monitored at the KCMP tower. Agricultural N<sub>2</sub>O emissions in the EDGAR42 database needed to be scaled up by 19.0 to 28.1 fold to represent the true emission in the Corn Belt from June 1&ndash;20, 2010 &ndash; a peak emission period. Optimized total N<sub>2</sub>O emissions were 3.00&ndash;4.38, 1.52&ndash;2.08, 0.61&ndash;0.81 and 0.56&ndash;0.75&thinsp;nmol&thinsp;m<sup>&minus;2</sup>&thinsp;s<sup>&minus;1</sup> from June 1&ndash;20, August 1&ndash;20, October 1&ndash;20 and December 1&ndash;20, 2010, respectively. The simulated spatial patterns of atmospheric N<sub>2</sub>O mixing ratios were in good agreement with the NOAA discrete observations during the strong emission peak in June. Such spatial patterns illustrate that the IPCC (Inter-governmental Panel on Climate Change) underestimate of emissions is not dependent on tower measurement location.

Creator (Dublin Core)

Fu, Congsheng
Lee, Xuhui
Griffis, Timothy J.
Dlugokencky, Edward J.
Andrews, Arlyn E.

Date (Dublin Core)

2018-08-10

Type (Dublin Core)

Text

Format (Dublin Core)

application/pdf

Identifier (Dublin Core)

10.5194/acp-2016-761
https://acp.copernicus.org/preprints/acp-2016-761/

Source (Dublin Core)

eISSN: 1680-7324

Language (Dublin Core)

eng
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