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3 results for “Lightning-Ignited Wildfires”
Distribution and Characteristics of Lightning-Ignited Wildfires in Boreal Forests - the BoLtFire database
<p>This repository holds a dataset of lightning-ignited wildfires across the boreal biome. The BoLtFire dataset covers the period 2012 to 2022 and encompasses 6,902 fires - 4,201 in Eurasia and 2,701 in North America.</p> <p>The layers included in this dataset are: FireID, StartDate, EndDate, FireYdear, AreaHa (burned area), ClassSize, BiomeName, EcoBiome, EcoName, EcoID, Realm, LCDN (Land cover number), LCName (land cover name), Country, Continent, HoldoverD (days), HoldoverRD (holdover rounded), IgnLat (Ignition location Latitude), IgnLong (Ignition Location Longitude), DisPol (Distance of the ignition location to the fire perimeter if it is located outside the polygon), and PerCheck (designates if the ignition location is within the fire perimeter or oustide the perimeter).</p> <p> </p> <p>The datasets are available per continent (North America, Europe, and Asia) as shapefiles. The spatial reference system is Global LANd Cover mapping and Estimation (GLANCE) Grids - Version 01 CRS.</p> <p> </p> <p>*Please note: Versions 1 and 2 are missing LIW from Canada between 2021-2022. </p>
Database on holdover time of lightning-ignited wildfires
<p>This database contains open, harmonized, and ready-to-use global data on holdover time. Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The first version of the database is composed of three data files (censored data, non-censored data, ancillary data) and three metadata files (description of database variables, list of references, reproducible examples). These data were collected through a literature review of LIW studies and some datasets were assembled by authors of the original studies, covering more than 150,000 LIW from 13 countries in five continents and a time span of a century from 1921 to 2020. Censored data are the core of the database and consist of frequency data reporting the number or relative frequency of LIW per interval of holdover time. Ancillary data provide additional information on the methods and contexts in which the data were generated in the original studies. Potential contributors to the database are encouraged to contact the corresponding author in the readme file.</p>
Dataset of "Characterisation of thunderstorms that caused lightning-ignited wildfires" by Soler et al 2021 IJWF Ref WF21076
<p>Remote Sensing data from Servei Meteorològic de Catalunya in relation to the study </p> <p>"Characterisation of thunderstorms that caused lightning-ignited wildfires" by Soler et al 2021</p> <p>published in the InternationaL Journal of Wildland Fire Ref WF21076</p> <p>Dataset:</p> <p>Radar: reflectivity, VIL and Echotops 12 and 35, daily QPE (quantitative Precipitation Estimates)</p> <p>Lightning: IC and CG flashes</p> <p>Tracking vectors</p> <p>Daily summary maps</p>
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