Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5665-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5665-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series, 2022 update
Department of Earth Sciences and Center for Climate and Carbon Neutrality, University of Hong Kong, Pokfulam Road, Hong Kong, China
Katie Hong-Kiu Lau
Department of Earth Sciences and Center for Climate and Carbon Neutrality, University of Hong Kong, Pokfulam Road, Hong Kong, China
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Cited articles
Kaplan, J. O.: ARVE-Research/WGLC-scripts: First release (v1.0.0), Zenodo [code], https://doi.org/10.5281/zenodo.7389753, 2022. a
Kaplan, J. O. and Lau, K. H.-K.:
The WWLLN Global Lightning Climatology and timeseries (WGLC), v2022.0.0, Zenodo [data set], https://doi.org/10.5281/zenodo.6007052, 2022. a, b
LASP: Monthly-averaged climate record of total solar irradiance (TSI), https://lasp.colorado.edu/lisird/data/nrl2_tsi_P1M/, last access: 20 December 2022. a
Liu, Y., Williams, E. R., Guha, A., and Said, R.:
How will lightning change during the pollution-reduced COVID-19 pandemic period? A data study on the global lightning activity, in: AGU Fall meeting 2021, New Orleans, LA, USA, 13–17 December 2021, Abstract No. AE12A-02, 2021. a
Murray, L. T., Jacob, D. J., Logan, J. A., Hudman, R. C., and Koshak, W. J.:
Optimized regional and interannual variability of lightning in a global chemical transport model constrained by LIS/OTD satellite data, J. Geophys. Res., 117, D20307, https://doi.org/10.1029/2012jd017934, 2012. a
Okike, O. and Umahi, A. E.:
Cosmic ray – global lightning causality, J. Atmos. Sol.-Terr. Phy., 189, 35–43, https://doi.org/10.1016/j.jastp.2019.04.002, 2019. a
Owens, M. J., Scott, C. J., Bennett, A. J., Thomas, S. R., Lockwood, M., Harrison, R. G., and Lam, M. M.:
Lightning as a space-weather hazard: UK thunderstorm activity modulated by the passage of the heliospheric current sheet, Geophys. Res. Lett., 42, 9624–9632, https://doi.org/10.1002/2015gl066802, 2015. a
Rodger, C. J., Brundell, J. B., Dowden, R. L., and Thomson, N. R.:
Location accuracy of long distance VLF lightning locationnetwork, Ann. Geophys., 22, 747–758, https://doi.org/10.5194/angeo-22-747-2004, 2004. a
Rodger, C. J., Brundell, J. B., and Dowden, R. L.:
Location accuracy of VLF World-Wide Lightning Location (WWLL) network: Post-algorithm upgrade, Ann. Geophys., 23, 277–290, https://doi.org/10.5194/angeo-23-277-2005, 2005. a
Siingh, D., Singh, R. P., Singh, A. K., Kulkarni, M. N., Gautam, A. S., and Singh, A. K.:
Solar Activity, Lightning and Climate, Surv. Geophys., 32, 659–703, https://doi.org/10.1007/s10712-011-9127-1, 2011. a
Sofiev, M., Winebrake, J. J., Johansson, L., Carr, E. W., Prank, M., Soares, J., Vira, J., Kouznetsov, R., Jalkanen, J. P., and Corbett, J. J.:
Cleaner fuels for ships provide public health benefits with climate tradeoffs, Nat. Commun., 9, 406, https://doi.org/10.1038/s41467-017-02774-9, 2018. a
Thornton, J. A., Virts, K. S., Holzworth, R. H., and Mitchell, T. P.:
Lightning enhancement over major oceanic shipping lanes, Geophys. Res. Lett., 44, 9102–9111, https://doi.org/10.1002/2017gl074982, 2017. a, b, c
UNCTAD:
Review of Maritime Transport 2021, United Nations, Geneva, 2021. a
Wang, X., Yi, W., Lv, Z., Deng, F., Zheng, S., Xu, H., Zhao, J., Liu, H., and He, K.:
Ship emissions around China under gradually promoted control policies from 2016 to 2019, Atmos. Chem. Phys., 21, 13835–13853, https://doi.org/10.5194/acp-21-13835-2021, 2021. a
Zhang, Y., Eastham, S. D., Lau, A. K. H., Fung, J. C. H., and Selin, N. E.:
Global air quality and health impacts of domestic and international shipping, Environ. Res. Lett., 16, 084055, https://doi.org/10.1088/1748-9326/ac146b, 2021. a
Short summary
Global lightning strokes are recorded continuously by a network of ground-based stations. We consolidated these point observations into a map form and provide these as electronic datasets for research purposes. Here we extend our dataset to include lightning observations from 2021.
Global lightning strokes are recorded continuously by a network of ground-based stations. We...
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