Offset Elliptical Normal Parameters for Wind Climate of USA Prescribed Burning Locations

The dataset presents parameters of the Offset Elliptical Normal model for wind climate analysis. Parameters have been obtained for sites across the USA where prescribed burning is common, using data from the National Centers for Ecological Information and carrying out the analyses with software from Nicholas Cook (njcook.uk). The parameters may be used to randomly select correlated wind speed and direction values from any of the major winds ('parent winds') that characterize a site, which is valuable for prescribed burn planning involving fire behavior modeling. The parameters are also used to generate graphical depictions of wind climate for educating wildland fire personnel

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欄位	值
最後更新	七月 2, 2025, 21:58 (UTC)
建立	七月 2, 2025, 21:58 (UTC)
來源	https://wfsi-data.org/view/doi%3A10.60594/W44S32
associated_parties	Kevin Hiers, j.kevin.hiers@gmail.com, Texas A & M Natural Resources Institute, https://orcid.org/0000-0002-6813-8941, contributor
award	The Role of Vorticity and Fuel Moisture on the Near-Field Plume Structure and Ember Dynamics
creators	Calvin McGinnis, calvin.mcginnis87@gmail.com, Tall Timbers Research \| Seth Bigelow, sbigelow@talltimbers.org, Tall Timbers Research, https://orcid.org/0000-0002-0052-191X \| Bryan Quaife, bquaife@fsu.edu, Florida State University, https://orcid.org/0000-0002-9186-8926
doi	doi:10.60594/W44S32
funder	U. S. Department of Defense (DoD), Strategic Environmental Research and Development Program (SERDP), http://dx.doi.org/10.13039/100013316
maintainor	Seth Bigelow, sbigelow@talltimbers.org
method	1) The OEN analysis (Harris, I. R., and N. J. Cook. 2014. The parent wind speed distribution: Why Weibull?. Journal of Wind Engineering and Industrial Aerodynamics 131: 72-87) was applied to wind data from sites across the USA where prescribed burning is common
project	Funding Award RC20-1298: The Role of Vorticity and Fuel Moisture on the Near-Field Plume Structure and Ember Dynamics
spatial	{"type": "Polygon", "coordinates": [[[-74.567, 30.483], [-121.85, 30.483], [-121.85, 43.389], [-74.567, 43.389], [-74.567, 30.483]]]}
temporal	{"endTime": "2025-01-15", "startTime": "2023-03-30"}