Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3219-2021
© Author(s) 2021. 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-13-3219-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
06 Jul 2021
Data description paper |
| 06 Jul 2021
| 06 Jul 2021
The WGLC global gridded lightning climatology and time series
Department of Earth Sciences, The University of Hong Kong, Pokfulam
Road, Hong Kong, China
Katie Hong-Kiu Lau
Department of Earth Sciences, The University of Hong Kong, Pokfulam
Road, Hong Kong, China
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Cited
29 citations as recorded by crossref.
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- Cloud-to-ground lightning occurrences over India: seasonal and diurnal characteristics deduced with ground-based lightning detection sensor network (LDSN) A. Taori et al. 10.1007/s11069-023-05839-9
- Influence of the Super El Niño event during 2015/2016 on the aerosol properties and lightning activity in subtropical South America V. Tur et al. 10.1016/j.atmosres.2024.107383
- Optical observations of thunderstorms from the International Space Station: recent results and perspectives T. Neubert et al. 10.1038/s41526-023-00257-4
- Spatio-temporal feature attribution of European summer wildfires with Explainable Artificial Intelligence (XAI) H. Li et al. 10.1016/j.scitotenv.2024.170330
- Assessment of lightning climatology and trends over eastern India and its association with AOD and other meteorological parameters J. Akhter et al. 10.1007/s12040-023-02246-3
- Regional Spatiotemporal Patterns of Fire in the Eurasian Subarctic Based on Satellite Imagery Y. Zhou et al. 10.3390/rs14246200
- An Intelligent Prediction for Sports Industry Scale Based on Time Series Algorithm and Deep Learning H. Liang & S. Mumtaz 10.1155/2022/9649825
- Prediction of lightning activity over Bangladesh using diagnostic and explicit lightning parameterizations of WRF model M. Paramanik et al. 10.1007/s11069-023-06355-6
- Significant increase in graupel and lightning occurrence in a warmer climate simulated by prognostic graupel parameterization T. Michibata 10.1038/s41598-024-54544-5
- Disentangling the last 1,000 years of human–environment interactions along the eastern side of the southern Andes (34–52°S lat.) W. Nanavati et al. 10.1073/pnas.2119813119
- Effect of Synoptic‐Scale Dynamics on the Vertical Distribution of Tropospheric Ozone Over the Arabian Sea and the Indian Ocean During the Boreal Winter of 2018 P. Satheesh Chandran et al. 10.1029/2021JD036412
- Seasonal, interannual and decadal variability of tropospheric ozone in the North Atlantic: comparison of UM-UKCA and remote sensing observations for 2005–2018 M. Russo et al. 10.5194/acp-23-6169-2023
- World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series, 2022 update J. Kaplan & K. Lau 10.5194/essd-14-5665-2022
- Analysis of Spatio-Temporal Variability of Lightning Activity and Wildfires in Western Siberia during 2016–2021 E. Kharyutkina et al. 10.3390/atmos13050669
- Time Series Models for Radiated Electromagnetic Energy of Lightning Strokes Detected by World Wide Lightning Location Network M. Rafi & G. Mostafa 10.1088/1742-6596/2471/1/012024
- Spatial and temporal variation of Zambia lightning for designing lightning protection of infrastructure S. Mpanga et al. 10.1016/j.epsr.2024.110188
- Trends and Features of Thunderstorms and Lightning Activity in the Upper Volga Region S. Dementyeva et al. 10.3390/atmos14040674
- Revisiting Lightning Activity and Parameterization Using Geostationary Satellite Observations X. Zhang et al. 10.3390/rs13193866
- Observations of Blue Corona Discharges in Thunderclouds L. Husbjerg et al. 10.1029/2022GL099064
- Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States D. Kang et al. 10.3390/atmos13081248
- Investigating Effects of Solar Proton Events and Forbush Decreases on Ground‐Level Potential Gradient Recorded at Middle and Low Latitudes and Different Altitudes J. Tacza et al. 10.1029/2021SW002944
- The Value of Probabilistic Prediction for Lightning Ignited Fires F. Di Giuseppe 10.1029/2022GL099669
- Trend and Drivers of Satellite‐Detected Burned Area Changes Across Arctic Region Since the 21st Century J. Xing & M. Wang 10.1029/2023JD038946
- Deep convection, lightning activity and population impact over northwest Mexico: Coastal hotspots from 2009 to 2018 L. Farfán et al. 10.1002/joc.8164
- The WGLC global gridded lightning climatology and time series J. Kaplan & K. Lau 10.5194/essd-13-3219-2021
- Thunderstorm days over Argentina: Integration between human observations of thunder and the world wide lightning location network lightning data F. Bertone et al. 10.1002/joc.7800
- World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series, 2022 update J. Kaplan & K. Lau 10.5194/essd-14-5665-2022
- INFERNO-peat v1.0.0: a representation of northern high-latitude peat fires in the JULES-INFERNO global fire model K. Blackford et al. 10.5194/gmd-17-3063-2024
25 citations as recorded by crossref.
- Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. 10.1029/2020RG000726
- Cloud-to-ground lightning occurrences over India: seasonal and diurnal characteristics deduced with ground-based lightning detection sensor network (LDSN) A. Taori et al. 10.1007/s11069-023-05839-9
- Influence of the Super El Niño event during 2015/2016 on the aerosol properties and lightning activity in subtropical South America V. Tur et al. 10.1016/j.atmosres.2024.107383
- Optical observations of thunderstorms from the International Space Station: recent results and perspectives T. Neubert et al. 10.1038/s41526-023-00257-4
- Spatio-temporal feature attribution of European summer wildfires with Explainable Artificial Intelligence (XAI) H. Li et al. 10.1016/j.scitotenv.2024.170330
- Assessment of lightning climatology and trends over eastern India and its association with AOD and other meteorological parameters J. Akhter et al. 10.1007/s12040-023-02246-3
- Regional Spatiotemporal Patterns of Fire in the Eurasian Subarctic Based on Satellite Imagery Y. Zhou et al. 10.3390/rs14246200
- An Intelligent Prediction for Sports Industry Scale Based on Time Series Algorithm and Deep Learning H. Liang & S. Mumtaz 10.1155/2022/9649825
- Prediction of lightning activity over Bangladesh using diagnostic and explicit lightning parameterizations of WRF model M. Paramanik et al. 10.1007/s11069-023-06355-6
- Significant increase in graupel and lightning occurrence in a warmer climate simulated by prognostic graupel parameterization T. Michibata 10.1038/s41598-024-54544-5
- Disentangling the last 1,000 years of human–environment interactions along the eastern side of the southern Andes (34–52°S lat.) W. Nanavati et al. 10.1073/pnas.2119813119
- Effect of Synoptic‐Scale Dynamics on the Vertical Distribution of Tropospheric Ozone Over the Arabian Sea and the Indian Ocean During the Boreal Winter of 2018 P. Satheesh Chandran et al. 10.1029/2021JD036412
- Seasonal, interannual and decadal variability of tropospheric ozone in the North Atlantic: comparison of UM-UKCA and remote sensing observations for 2005–2018 M. Russo et al. 10.5194/acp-23-6169-2023
- World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series, 2022 update J. Kaplan & K. Lau 10.5194/essd-14-5665-2022
- Analysis of Spatio-Temporal Variability of Lightning Activity and Wildfires in Western Siberia during 2016–2021 E. Kharyutkina et al. 10.3390/atmos13050669
- Time Series Models for Radiated Electromagnetic Energy of Lightning Strokes Detected by World Wide Lightning Location Network M. Rafi & G. Mostafa 10.1088/1742-6596/2471/1/012024
- Spatial and temporal variation of Zambia lightning for designing lightning protection of infrastructure S. Mpanga et al. 10.1016/j.epsr.2024.110188
- Trends and Features of Thunderstorms and Lightning Activity in the Upper Volga Region S. Dementyeva et al. 10.3390/atmos14040674
- Revisiting Lightning Activity and Parameterization Using Geostationary Satellite Observations X. Zhang et al. 10.3390/rs13193866
- Observations of Blue Corona Discharges in Thunderclouds L. Husbjerg et al. 10.1029/2022GL099064
- Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States D. Kang et al. 10.3390/atmos13081248
- Investigating Effects of Solar Proton Events and Forbush Decreases on Ground‐Level Potential Gradient Recorded at Middle and Low Latitudes and Different Altitudes J. Tacza et al. 10.1029/2021SW002944
- The Value of Probabilistic Prediction for Lightning Ignited Fires F. Di Giuseppe 10.1029/2022GL099669
- Trend and Drivers of Satellite‐Detected Burned Area Changes Across Arctic Region Since the 21st Century J. Xing & M. Wang 10.1029/2023JD038946
- Deep convection, lightning activity and population impact over northwest Mexico: Coastal hotspots from 2009 to 2018 L. Farfán et al. 10.1002/joc.8164
4 citations as recorded by crossref.
- The WGLC global gridded lightning climatology and time series J. Kaplan & K. Lau 10.5194/essd-13-3219-2021
- Thunderstorm days over Argentina: Integration between human observations of thunder and the world wide lightning location network lightning data F. Bertone et al. 10.1002/joc.7800
- World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series, 2022 update J. Kaplan & K. Lau 10.5194/essd-14-5665-2022
- INFERNO-peat v1.0.0: a representation of northern high-latitude peat fires in the JULES-INFERNO global fire model K. Blackford et al. 10.5194/gmd-17-3063-2024
Latest update: 22 Apr 2024
Short summary
Lightning is an important atmospheric phenomenon and natural hazard, but few long-term data are freely available on lightning stroke location, timing, and power. Here, we present a new, open-access dataset of lightning strokes covering 2010–2020, based on a network of low-frequency radio detectors. The dataset is comprised of GIS maps and is intended for researchers, government, industry, and anyone for whom knowing when and where lightning is likely to strike is useful information.
Lightning is an important atmospheric phenomenon and natural hazard, but few long-term data are...
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