BIGELOWS_2025-01-24_AF47Offset Elliptical Normal Parameters for Wind Climate of USA Prescribed Burning Locations CalvinMcGinnisTall Timbers ResearchAnalyst
13093 Henry Beadel Drive Tallahassee Florida 32312 United States
2293442290calvin.mcginnis87@gmail.com SethBigelowTall Timbers ResearchResearch Ecologist
13093 Henry Beadel Drive Tallahassee Florida 32312 United States
2293442290sbigelow@talltimbers.orgtalltimbers.org https://orcid.org/0000-0002-0052-191X BryanQuaifeFlorida State UniversityAssociate Professor of Scientific Computing
400 Dirac Science Library110 N Woodward AveTallahasseeFlorida32301United States
(850) 644 - 0143bquaife@fsu.eduhttps://people.sc.fsu.edu/~bquaife/https://orcid.org/0000-0002-9186-8926 KevinHiersTexas A & M Natural Resources Institutej.kevin.hiers@gmail.com https://orcid.org/0000-0002-6813-8941 contributor 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 wind climateOffset Elliptical Normal modelGaussian mixture modelwind vectorData Types and Measurement Variablesprescribed fireNone This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Eglin Air Force Base airport, Niceville FL -86.517-86.51730.48330.483 Savannah/Hilton Head airport, 20 km from Fort Stewart army base -81.202-81.20232.13132.131 Albany Georgia municipal airport, 10 km from Marine Corps Logistic Base -84.196-84.19631.53631.536 Atlantic City, NJ airport, near pine barrens -74.567-74.56739.45239.452 Chico, California airport -121.850-121.85039.80039.800 McAlester, Oklahoma airport -95.782-95.78234.88234.882 Prescott, Arizona airport (Ernest A. Love airport) -112.422-112.42234.64934.649 Winner, South Dakota airport -99.843-99.84343.38943.389 Pueblo, Colorado airport -104.506-104.50638.28938.289 2023-03-302025-01-15 SethBigelowTall Timbers ResearchResearch Ecologist
13093 Henry Beadel Drive Tallahassee Florida 32312 United States
2293442290sbigelow@talltimbers.org https://orcid.org/0000-0002-0052-191X 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 USAwhere prescribed burning is common 2) Analysis software was downloaded and instructions obtained on the method from Cook, N.J. 2022. Wind Engineering Cook-Book: Recipes in R (www.njcook.uk/WERinR2.0.3/access 5/21/2024) 3) Wind data were downloaded from the National Center for Ecological Information (ncei.noaa.gov) using utilities in Cook, N.J. 2022. Wind Engineering Cook-Book: Recipes in R (www.njcook.uk/WERinR2.0.3/access 5/21/2024) 4) Data were cleaned using methods described in Cook, N.J. 2022. Wind Engineering Cook-Book: Recipes in R (www.njcook.uk/WERinR2.0.3/access 5/21/2024) and Bigelow, S. W. and B. Quaife. Wind Climate Analysis for Prescribed Fire Planning: Case Study of Tallahassee, Florida. Fire Ecology (in press). 5) Analyses produced disjoint Gaussian mixture model presenting probability of all possible wind directions and speed for each Month and Hour at the location 6) The Gaussian mixture model combines joint bivariate normal distributions (named ellipses for the shape of the 1-standard deviation contour) for winds generated by multiple mechanisms (parent winds) 7) The dataset provides complete parameters for ellipses at each site, by Month and Hour. Funding Award RC20-1298: The Role of Vorticity and Fuel Moisture on the Near-Field Plume Structure and Ember DynamicsBryanQuaifeFlorida State Universitybquaife@fsu.eduhttps://orcid.org/0000-0002-9186-8926Principal InvestigatorU. S. Department of Defense (DoD), Strategic Environmental Research and Development Program (SERDP)http://dx.doi.org/10.13039/100013316RC20-1298The Role of Vorticity and Fuel Moisture on the Near-Field Plume Structure and Ember DynamicsCHANGES.mdtext/markdown WindLibrary_OEN.csv text/csv WindLibrary_OEN_station_locations.csvtext/csvWindLibrary_flmd_file_index.csvtext/csvWindLibrary_data_dictionary.csvtext/csv