EGU22-8640, updated on 09 Apr 2024
https://doi.org/10.5194/egusphere-egu22-8640
EGU General Assembly 2022
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Arctic lightning and anthropogenic NOx emissions estimated from TROPOMI observations

Xin Zhang1, Yan Yin1, Ronald van der A1,2, Jieying Ding2, Henk Eskes2, Jos van Geffen2, Chris Vagasky3, and Jeff Lapierre4
Xin Zhang et al.
  • 1Department of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), Nanjing, China
  • 2Department of Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
  • 3Vaisala Inc., Louisville, Colorado, USA
  • 4Earth Networks, Germantown, Maryland, USA

The Arctic is experiencing rapid climate change. The increasing temperature not only reduces the sea-ice extent but will also have doubled the number of lightning flashes by the end of the century. The unlocked Arctic ocean can also lead to increased human activities such as shipping and expanded oil and gas production. In addition, the increase of lightning will cause more wildfires. All of these above will give rise to emissions of nitrogen oxides (NOx).

In this study, we track and estimate three-year (2019-2021) Arctic NOx emissions by combing the TROPOspheric Monitoring Instrument (TROPOMI) observations, Visible Infrared Imaging Radiometer Suite (VIIRS) data, and the Vaisala’s Global Lightning Dataset (GLD360). The NOx emissions are divided into two different categories and estimated separately: 1) NOx emissions from lighting; 2) surface NOx emissions from all other sources.

The continuous overlapping orbits of TROPOMI passing over the Arctic provide unique opportunities for tracking the lightning NOx (LNOx) and calculating both LNOx lifetime and production efficiency. Previous studies focused on the LNOx emissions in the tropical and mid-latitude regions and estimated the global LNOx within the range of 2 to 8 T N yr-1. This study can add the missing LNOx productions in high latitudes.

Besides, a Cloud-Snow Differentiation (CSD) method is applied to get more high-precision TROPOMI observations over large boreal snow-covered areas by discriminating snow-covered surfaces from clouds. The derived NOx emissions from power plants, natural gas industries, and soil will play an important role in updating the present-day NOx inventories which have a limited number of data sets. This study highlights the potential of TROPOMI as well as future satellite missions for monitoring Arctic NOx emissions.

How to cite: Zhang, X., Yin, Y., van der A, R., Ding, J., Eskes, H., van Geffen, J., Vagasky, C., and Lapierre, J.: Arctic lightning and anthropogenic NOx emissions estimated from TROPOMI observations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8640, https://doi.org/10.5194/egusphere-egu22-8640, 2022.

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