EGU26-5328, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-5328
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Tuesday, 05 May, 14:20–14:30 (CEST)
 
Room 1.15/16
FLASHMAP: A new global gridded lightning dataset with high spatial and temporal resolution
Yuquan Qu1, Esther Brambleby2, Thomas Janssen1,3, Jose Moris1, Hugh Hunt4, Manoj Joshi5, Guilherme Mataveli6, Francisco Pérez-Invernón7, Ryan Said8, Marta Yebra9,10, Li Zhao9, Matthew Jones2, and Sander Veraverbeke1,2
Yuquan Qu et al.
  • 1Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
  • 2Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK
  • 3Plant Ecology and Nature Conservation Group, Wageningen University, Wageningen, the Netherlands
  • 4Johannesburg Lightning Research Laboratory, School of Electrical and Information Engineering, University of Witwatersrand, Johannesburg, South Africa
  • 5Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK
  • 6Earth Observation and Geoinformatics Division, National Institute for Space Research, São José dos Campos, Brazil
  • 7Instituto de Astrofísica de Andalucía, Consejo Superior de Investigaciones Científicas, Granada, Spain
  • 8Vaisala Inc., Louisville, United States
  • 9Fenner School of Environment and Society, Australian National University, Canberra, Australia
  • 10School of Engineering, Australian National University, Canberra, Australia

Lightning plays a critical role in the Earth system by shaping biogeochemical cycles, while also posing significant natural hazards and serving as a key geophysical indicator for storm monitoring and wildfire early warning. However, existing publicly available global lightning datasets are often limited in either spatial or temporal resolution and do not distinguish between intra-cloud (IC) and cloud-to-ground (CG) lightning, restricting their applicability for many scientific studies. Here, we present a newly developed global gridded lightning dataset, the Flash Location Aggregation from Strokes into a High-resolution Multi-scale Analysis Product (FLASHMAP). FLASHMAP is derived from lightning observations provided by Vaisala’s Global Lightning Detection Network (GLD360) and currently covers the period from 2019 to 2024. A gridding framework is applied to convert point-based lightning stroke detections into multi-scale products at 0.1° hourly, 0.25° daily, and 0.5° monthly resolutions. FLASHMAP provides comprehensive lightning characteristics, including counts of IC and CG strokes and flashes, stroke location uncertainty and peak current, and flash multiplicity. FLASHMAP can report more total lightning strokes than existing global lightning products in most of the land regions. Comparisons with regional lightning detection networks in Alaska (USA), Spain, and New South Wales and the Australian Capital Territory (Australia) indicate that FLASHMAP reports comparable CG stroke counts while detecting fewer IC strokes. FLASHMAP is expected to advance interdisciplinary research on global and regional lightning climatology, lightning-ignited wildfires, thunderstorm identification, and ecosystem impacts.

How to cite: Qu, Y., Brambleby, E., Janssen, T., Moris, J., Hunt, H., Joshi, M., Mataveli, G., Pérez-Invernón, F., Said, R., Yebra, M., Zhao, L., Jones, M., and Veraverbeke, S.: FLASHMAP: A new global gridded lightning dataset with high spatial and temporal resolution, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5328, https://doi.org/10.5194/egusphere-egu26-5328, 2026.