55 citations as recorded by crossref.

1. Environments conducive to cloud-to-ground and ignited lightning in a boreal forest of Northeast China Y. Jiang et al. https://doi.org/10.1016/j.atmosres.2026.108919
2. Lightning Variability in Dynamically Downscaled Simulations of Alaska’s Present and Future Summer Climate P. Bieniek et al. https://doi.org/10.1175/JAMC-D-19-0209.1
3. CanCPLD: Convective Parameters and Lightning Data to Support Future Thunderstorm Projections in North America A. Cannon et al. https://doi.org/10.1038/s41597-025-05924-7
4. A sub-pixel-based calculation of fire radiative power from MODIS observations: 2. Sensitivity analysis and potential fire weather application D. Peterson & J. Wang https://doi.org/10.1016/j.rse.2012.10.020
5. Analysis of forest fire patterns and their relationship with climate variables in Alberta's natural subregions H. Dastour et al. https://doi.org/10.1016/j.ecoinf.2024.102531
6. Synoptic patterns associated with the occurrence of fire foci in the Ecological Station Taim and Campos Neutrais - Brazil A. Nascimento et al. https://doi.org/10.55761/abclima.v32i19.16128
7. Analysis of Spatio-Temporal Variability of Lightning Activity and Wildfires in Western Siberia during 2016–2021 E. Kharyutkina et al. https://doi.org/10.3390/atmos13050669
8. Wildland fire risk research in Canada L. Johnston et al. https://doi.org/10.1139/er-2019-0046
9. Spatial distribution of mean fire size and occurrence in eastern Canada: influence of climate, physical environment and lightning strike density J. Portier et al. https://doi.org/10.1071/WF18220
10. Prediction and driving factors of forest fire occurrence in Jilin Province, China B. Gao et al. https://doi.org/10.1007/s11676-023-01663-w
11. Wildland fire limits subsequent fire occurrence S. Parks et al. https://doi.org/10.1071/WF15107
12. Lightning as a major driver of recent large fire years in North American boreal forests S. Veraverbeke et al. https://doi.org/10.1038/nclimate3329
13. A Paleoclimate-Compatible Framework for Modeling Lightning-Caused Ignition Probability in Alaska C. Uden et al. https://doi.org/10.3390/atmos17050490
14. Satellite contributions to the quantitative characterization of biomass burning for climate modeling C. Ichoku et al. https://doi.org/10.1016/j.atmosres.2012.03.007
15. Spatio-temporal analysis of lightning activity over Greece — Preliminary results derived from the recent state precision lightning network P. Nastos et al. https://doi.org/10.1016/j.atmosres.2013.10.021
16. Delineating and Reconstructing 3D Forest Fuel Components and Volumes with Terrestrial Laser Scanning Z. Xi et al. https://doi.org/10.3390/rs15194778
17. Increases in heat-induced tree mortality could drive reductions of biomass resources in Canada’s managed boreal forest E. Chaste et al. https://doi.org/10.1007/s10980-019-00780-4
18. Concurrent increases in winter precipitation and summer wildfire risk in a warming Alaska J. Lee et al. https://doi.org/10.1088/1748-9326/ae0491
19. The relationship between environmental factors and forest fires in Taiwan: examining the increase in sudden dry months since 1991 L. Lai & W. Cheng https://doi.org/10.1007/s00704-025-06005-w
20. Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. https://doi.org/10.5194/bg-16-3883-2019
21. Cloud‐to‐Ground Lightning and Near‐Surface Fire Weather Control Wildfire Occurrence in Arctic Tundra J. He et al. https://doi.org/10.1029/2021GL096814
22. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. https://doi.org/10.1029/2020RG000726
23. Spatial and Temporal Variability of Forest Floor Moisture Characteristics and Their Influence on Wildfires in Western Siberia over 2016–2021 E. Kharyutkina & E. Moraru https://doi.org/10.1134/S1024856023030077
24. Characterizing Spatial and Temporal Variability of Lightning Activity Associated with Wildfire over Tasmania, Australia H. Nampak et al. https://doi.org/10.3390/fire4010010
25. Improved simulation of fire–vegetation interactions in the Land surface Processes and eXchanges dynamic global vegetation model (LPX-Mv1) D. Kelley et al. https://doi.org/10.5194/gmd-7-2411-2014
26. Trend and Drivers of Satellite‐Detected Burned Area Changes Across Arctic Region Since the 21st Century J. Xing & M. Wang https://doi.org/10.1029/2023JD038946
27. Numerical modeling of an intense precipitation event and its associated lightning activity over northern Greece I. Pytharoulis et al. https://doi.org/10.1016/j.atmosres.2015.06.019
28. A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0) M. Pfeiffer et al. https://doi.org/10.5194/gmd-6-643-2013
29. Improving Nocturnal Fire Detection With the VIIRS Day–Night Band T. Polivka et al. https://doi.org/10.1109/TGRS.2016.2566665
30. Multi-scale influence of vapor pressure deficit on fire ignition and spread in boreal forest ecosystems F. Sedano & J. Randerson https://doi.org/10.5194/bg-11-3739-2014
31. A Conceptual Model for Development of Intense Pyrocumulonimbus in Western North America D. Peterson et al. https://doi.org/10.1175/MWR-D-16-0232.1
32. The 2023 Canadian Wildfires and Risk of Hospitalization and Mortality Among Hemodialysis Patients in the United States H. Song et al. https://doi.org/10.1016/j.ekir.2025.04.002
33. Statistical–dynamical modeling of the cloud-to-ground lightning activity in Portugal J. Sousa et al. https://doi.org/10.1016/j.atmosres.2013.04.010
34. Performance evaluation of an operational lightning forecasting system in Europe T. Giannaros et al. https://doi.org/10.1007/s11069-016-2555-y
35. Estimating the influence of external environmental factors on fire radiative power using satellite imagery E. Shvetsov & E. Ponomarev https://doi.org/10.1134/S1995425515030142
36. The relationship between wind speed and satellite measurements of fire radiative power B. Potter & K. Tannhauser https://doi.org/10.1071/WF22177
37. Future increases in lightning ignition efficiency and wildfire occurrence expected from drier fuels in boreal forest ecosystems of western North America T. Hessilt et al. https://doi.org/10.1088/1748-9326/ac6311
38. A sub-pixel-based calculation of fire radiative power from MODIS observations: 1 D. Peterson et al. https://doi.org/10.1016/j.rse.2012.10.036
39. Modeling lightning density using cloud top parameters A. Karagiannidis et al. https://doi.org/10.1016/j.atmosres.2019.02.013
40. Lightning-Ignited Wildfires and Associated Meteorological Conditions in Western Siberia for 2016–2021 E. Kharyutkina et al. https://doi.org/10.3390/atmos15010106
41. A short-term predictor of satellite-observed fire activity in the North American boreal forest: Toward improving the prediction of smoke emissions D. Peterson et al. https://doi.org/10.1016/j.atmosenv.2013.01.052
42. Satellite observed response of fire dynamics to vegetation water content and weather conditions in Southeast Asia Y. Fu et al. https://doi.org/10.1016/j.isprsjprs.2023.06.007
43. Predicting lightning activity in Greece with the Weather Research and Forecasting (WRF) model T. Giannaros et al. https://doi.org/10.1016/j.atmosres.2014.12.009
44. Causal relationships versus emergent patterns in the global controls of fire frequency I. Bistinas et al. https://doi.org/10.5194/bg-11-5087-2014
45. Contrasting trends of carbon emission from savanna and boreal forest fires during 1999–2022 Y. Liu & A. Ding https://doi.org/10.1002/met.2177
46. Atmospheric Circulation Patterns Associated With Wildfires in the Monsoon Regions of China F. Zhao & Y. Liu https://doi.org/10.1029/2019GL081932
47. Predicting Lightning from Near-Surface Climate Data in the Northeastern United States: An Alternative to CAPE C. Uden et al. https://doi.org/10.3390/atmos16111298
48. Lightning Over Central Canada: Skill Assessment for Various Land‐Atmosphere Model Configurations and Lightning Indices Over a Boreal Study Area J. Mortelmans et al. https://doi.org/10.1029/2022JD037236
49. The pyrogeography of eastern boreal Canada from 1901 to 2012 simulated with the LPJ-LMfire model E. Chaste et al. https://doi.org/10.5194/bg-15-1273-2018
50. Importance of lightning detection network development in Peninsular Malaysia M. Islam et al. https://doi.org/10.1088/1755-1315/385/1/012036
51. Future increases in Arctic lightning and fire risk for permafrost carbon Y. Chen et al. https://doi.org/10.1038/s41558-021-01011-y
52. Lightning ignition efficiency in Canadian forests S. Coogan et al. https://doi.org/10.1186/s42408-025-00376-1
53. Quantifying the potential for high-altitude smoke injection in the North American boreal forest using the standard MODIS fire products and subpixel-based methods D. Peterson et al. https://doi.org/10.1002/2013JD021067
54. Wildland Fires Worsened Population Exposure to PM2.5 Pollution in the Contiguous United States D. Zhang et al. https://doi.org/10.1021/acs.est.3c05143
55. The 2013 Rim Fire: Implications for Predicting Extreme Fire Spread, Pyroconvection, and Smoke Emissions D. Peterson et al. https://doi.org/10.1175/BAMS-D-14-00060.1