Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108017
DC FieldValueLanguage
dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorGao, Cen_US
dc.creatorShi, Cen_US
dc.creatorLi, Jen_US
dc.creatorYuan, Sen_US
dc.creatorHuang, Xen_US
dc.creatorZhang, Qen_US
dc.creatorMa, Qen_US
dc.creatorWu, Gen_US
dc.date.accessioned2024-07-23T01:36:21Z-
dc.date.available2024-07-23T01:36:21Z-
dc.identifier.issn0168-1923en_US
dc.identifier.urihttp://hdl.handle.net/10397/108017-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectBoreal foresten_US
dc.subjectCloud-to-ground lightning flashen_US
dc.subjectIgniting lightningen_US
dc.subjectLightning characteristicen_US
dc.subjectLightning fireen_US
dc.subjectPrecipitationen_US
dc.titleIgniting lightning, wildfire occurrence, and precipitation in the boreal forest of northeast Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume354en_US
dc.identifier.doi10.1016/j.agrformet.2024.110081en_US
dcterms.abstractCloud-to-ground (CG) lightning is the primary cause of major boreal forest wildfires. Characterizing igniting lightning and the weather conditions favoring ignition is essential for wildfire prediction and prevention. However, these studies have not been conducted in the Greater Khingan Mountains of northeast China, the region with the largest boreal forest and the most frequent lightning-induced fires in China. The newly established three-dimensional lightning position network and high-resolution precipitation product spanning 2019–2021 were used to identify and characterize the igniting lightning, and explore the impacts of precipitation and lightning on ignition probability at different spatio-temporal scales. Igniting lightning was identified by the maximum proximity in time and distance to lightning fires. Around 80 % of lightning fires occurred within 24 h and a 1 km radius of the igniting lightning. The short holdover time could arise from intense solar heating, low fuel moisture, and frequent lightning activity in the afternoon. CG lightning density in a 1 km radius around the reported fire points was much higher than the outer buffer zones within the previous 24 h, affirming the high spatio-temporal accuracies of lightning fire and CG lightning data. The seasonal and diurnal distributions of lightning fires were modulated by CG lightning frequency variations. Although lightning characteristics played a role, precipitation is the predominant factor controlling both the spatial pattern of lightning fires and ignition probability. Fewer precipitation intensities, both preceding and following CG lightning, matter for ignition. The most prominent precipitation difference was observed 4 h prior to 4 h following igniting and non-igniting lightning, when the precipitation intensity was less than 0.5 mm/hour for igniting lightning.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationAgricultural and forest meteorology, 15 July 2024, v. 354, 110081en_US
dcterms.isPartOfAgricultural and forest meteorologyen_US
dcterms.issued2024-07-15-
dc.identifier.scopus2-s2.0-85194560031-
dc.identifier.eissn1873-2240en_US
dc.identifier.artn110081en_US
dc.description.validate202407 bcwhen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera3084b-
dc.identifier.SubFormID49425-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-07-15en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2026-07-15
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