Title:

Camp Swift Fire Experiment 2014: In-situ anemometer measurements

Author(s):

Butler, Bret W.; Jimenez, Daniel M.; Teske, Casey C.

Publication Year:

2018

How to Cite:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Butler, Bret W.; Jimenez, Daniel M.; Teske, Casey C. 2018. Camp Swift Fire Experiment 2014: In-situ anemometer measurements. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0041

Abstract:

This data publication contains anemometer measurements from a set of 41 instruments collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 14 and 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Anemometer measurements around the three burn blocks began on January 14, 2014 and continued until shortly after completion of the three burns on January 15, 2014. Each anemometer tower measures wind speed and directions, with 40 sensors mounted at 3.3-meters (m) Above Ground Level (AGL). One sensor on the downwind side of the burn blocks was mounted at 1.5-m to test the effect vegetation might have on wind. These data are used to characterize surface flow patterns before and during the burns. Cup revolutions and unit vector components were sampled at a frequency of three-seconds. Wind speed is the average speed for the entire three-second logging interval. Gust speed is the highest three-second wind recorded during the logging interval. Average direction is calculated from the average of the vector components.

Keywords:

Prescribed fire; Fire ecology; Fire effects on environment; Ecology, Ecosystems, & Environment; Fire; environment; biota; anemometer; time series; wildland fire; Camp Swift Fire Experiment 2014; wind; fire behavior; Joint Fire Science Program; JFSP; Texas; Camp Swift Army Base; Bastrop County

Related publications:

• Derek McNamara, Geospatial Measurement Solutions, LLC, GIS Analyst; William Mell, United States Forest Service, Combustion Engineer. 2018. Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment. https://usfs.maps.arcgis.com/home/item.html?id=aa3726577d9549a2a26b7d000fb98512

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