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Published October 23, 2019 | Supplemental Material + Published
Journal Article Open

Lightning NO₂ simulation over the contiguous US and its effects on satellite NO₂ retrievals

Abstract

Lightning is an important NO_x source representing ∼10 % of the global source of odd N and a much larger percentage in the upper troposphere. The poor understanding of spatial and temporal patterns of lightning contributes to a large uncertainty in understanding upper tropospheric chemistry. We implement a lightning parameterization using the product of convective available potential energy (CAPE) and convective precipitation rate (PR) coupled with the Kain–Fritsch convective scheme (KF/CAPE-PR) into the Weather Research and Forecasting-Chemistry (WRF-Chem) model. Compared to the cloud-top height (CTH) lightning parameterization combined with the Grell 3-D convective scheme (G3/CTH), we show that the switch of convective scheme improves the correlation of lightning flash density in the southeastern US from 0.30 to 0.67 when comparing against the Earth Networks Total Lightning Network; the switch of lightning parameterization contributes to the improvement of the correlation from 0.48 to 0.62 elsewhere in the US. The simulated NO₂ profiles using the KF/CAPE-PR parameterization exhibit better agreement with aircraft observations in the middle and upper troposphere. Using a lightning NO_x production rate of 500 mol NO flash−1, the a priori NO₂ profile generated by the simulation with the KF/CAPE-PR parameterization reduces the air mass factor for NO₂ retrievals by 16 % on average in the southeastern US in the late spring and early summer compared to simulations using the G3/CTH parameterization. This causes an average change in NO₂ vertical column density 4 times higher than the average uncertainty.

Additional Information

© 2019 Author(s). This work is distributed under the Creative Commons Attribution 4.0 License. Published by Copernicus Publications on behalf of the European Geosciences Union. Received: 6 March 2019 – Discussion started: 9 April 2019; Revised: 22 August 2019 – Accepted: 21 September 2019 – Published: 23 October 2019. Code and data availability: The experimental branch of the BEHR v3.0B product used in this study is hosted by UC Dash (Zhu et al., 2019a, b) as well as at https://behr.cchem.berkeley.edu/download-behr-data/ (last access: 21 October 2019). The BEHR algorithm is available at https://github.com/CohenBerkeleyLab/BEHR-core/ (last access: 21 October 2019; Laughner and Zhu, 2018). The revised WRF-Chem code is available at https://github.com/CohenBerkeleyLab/WRF-Chem-R2SMH/tree/lightning (last access: 21 October 2019; Zhu and Laughner, 2019). The supplement related to this article is available online at: https://doi.org/10.5194/acp-19-13067-2019-supplement. Author contributions: RCC directed the research and QZ, JLL and RCC designed this study; JLL and QZ developed BEHR products; QZ performed the analysis and prepared the paper with contributions from JLL and RCC. All authors have reviewed and edited the paper. The authors declare that they have no conflict of interest. We acknowledge use of the Savio computational cluster resource provided by the Berkeley Research Computing program at UC Berkeley that is supported by the UC Berkeley Chancellor, Vice Chancellor for Research, and Chief Information Officer. We thank the Earth Networks Company for providing the Earth Networks Total Lightning Network (ENTLN) datasets. We appreciate use of the WRF-Chem preprocessor tool (mozbc) provided by the Atmospheric Chemistry Observations and Modeling Lab (ACOM) of NCAR and use of MOZART-4 global model output available at https://www.acom.ucar.edu/wrf-chem/mozart.shtml (last access: 21 October 2019). This research has been supported by NASA (grant nos. NNX14AK89H, NNX15AE37G, and 80NSSC18K0624) and the Smithsonian Astrophysical Observatory (grant no. SV3-83019). Review statement: This paper was edited by Andreas Richter and reviewed by Yuhang Wang and one anonymous referee.

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Supplemental Material - acp-19-13067-2019-supplement.pdf

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Additional details

Created:
August 19, 2023
Modified:
October 18, 2023