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Discussion papers
https://doi.org/10.5194/acp-2018-1275
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2018-1275
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Jan 2019

Research article | 02 Jan 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

High-resolution (0.05° × 0.05°) NOx emissions in the Yangtze River Delta inferred from OMI

Hao Kong1, Jintai Lin1, Ruixiong Zhang1,a, Mengyao Liu1, Hongjian Weng1, Ruijing Ni1, Lulu Chen1, Jingxu Wang1, and Qiang Zhang2 Hao Kong et al.
  • 1Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
  • 2Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
  • aSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA

Abstract. Emission datasets of nitrogen oxides (NOx) at high horizontal resolutions (e.g., 0.05° × 0.05°) are crucial for understanding human influences at fine scales, air quality studies, and pollution control. Yet high-resolution emission data are often lacking or contain large uncertainties especially for the developing regions. Taking advantage of long-term satellite measurements of nitrogen dioxide (NO2), here we develop a computationally efficient method to inverting NOx emissions in major urban areas at the 0.05° × 0.05° resolution. The inversion accounts for the nonlinear effects of horizontal transport, chemical loss, and deposition. We construct a 2-dimensional Peking University High-resolution Lifetime-Emission-Transport (PHLET) model, its adjoint model (PHLET-A), and a Satellite Conversion Metrix approach to relate emissions, simulated NO2, and satellite NO2 data. The inversion method is applied to summer months of 2012–2016 in the Yangtze River Delta area (YRD, 118 °E–123 °E, 29 °N–34 °N), a major polluted region of China, using the POMINO NO2 vertical column density product retrieved from the Ozone Monitoring Instrument. A systematic analysis of inversion errors is performed, including using an Observing System Simulation Experiment-like test. Across the YRD area, the inverted summer average emission ranges from 0 to 12.0 kg km−2 h−1, and the lifetime (due to chemical loss and deposition) from 1.4 to 3.6 h. Our inverted emission dataset reveals fine-scale spatial information tied to nighttime light, population density, road network, and maritime shipping. Many of the inverted fine-scale emission features are not well represented or not included in the widely used Multi-scale Emissions Inventory of China. Our inversion method can be applied to other regions and other satellite sensors such as the TROPOspheric Monitoring Instrument.

Hao Kong et al.
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Hao Kong et al.
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Short summary
We develop a computationally efficient space-based top-down method to inverting NOx emissions in major urban areas at high resolution. The inversion method uses long-term OMI NO2 data to enhance the horizontal resolution, and it accounts for the nonlinear effects of horizontal transport, chemical loss, and deposition on NOx. The inversion results reveal fine-scale spatial information of emissions which is hardly captured by bottom up inventories.
We develop a computationally efficient space-based top-down method to inverting NOx emissions in...
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