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Improved modelling of soil NO x emissions in a high temperature agricultural region: role of background emissions on NO2 trend over the US

Authors: Yi Wang; Cui Ge; Lorena Castro Garcia; G Darrel Jenerette; Patty Y Oikawa; Jun Wang;

Improved modelling of soil NO x emissions in a high temperature agricultural region: role of background emissions on NO2 trend over the US

Abstract

Abstract EPA reports a steady decline of US anthropogenic NO x emissions in 2005–2019 summers, while NO2 vertical column densities (VCDs) from the OMI satellite over large spatial domains have flattened since 2009. To better understand the contributing factors to a flattening of the OMI NO2 trends, we investigate the role of soil and lightning NOx emissions on this apparent disagreement. We improve soil NO x emissions estimates using a new observation-based temperature response, which increases the linear correlation coefficient between GEOS-Chem simulated and OMI NO2 VCDs by 0.05–0.2 over the Central US. Multivariate trend analysis reveals that soil and lightning NO x combined emissions trends change from −3.95% a−1 during 2005–2009 to 0.60% a−1 from 2009 to 2019, thereby rendering the abrupt slowdown of total NO x emissions reduction. Non-linear inter-annual variations explain 6.6% of the variance of total NO x emissions. As background emissions become relatively larger with uncertain inter-annual variations, the NO2 VCDs alone at the national scale, especially in the regions with vast rural areas, will be insufficient to discern the trend of anthropogenic emissions.

Keywords

OMI NO2, soil NO x emissions, Science, Physics, QC1-999, Q, Environmental technology. Sanitary engineering, high temperature, Environmental sciences, trend, GE1-350, TD1-1066

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