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Atmosphere 2018, 9(8), 296;

Experimental Design of a Prescribed Burn Instrumentation

Department of Atmospheric Sciences, University of Utah, Salt Lake City, UT 84112-0110, USA
Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO 80217-3364, USA
Author to whom correspondence should be addressed.
Received: 16 June 2018 / Revised: 22 July 2018 / Accepted: 26 July 2018 / Published: 29 July 2018
(This article belongs to the Special Issue Fire and the Atmosphere)
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Observational data collected during experiments, such as the planned Fire and Smoke Model Evaluation Experiment (FASMEE), are critical for evaluating and transitioning coupled fire-atmosphere models like WRF-SFIRE and WRF-SFIRE-CHEM into operational use. Historical meteorological data, representing typical weather conditions for the anticipated burn locations and times, have been processed to initialize and run a set of simulations representing the planned experimental burns. Based on an analysis of these numerical simulations, this paper provides recommendations on the experimental setup such as size and duration of the burns, and optimal sensor placement. New techniques are developed to initialize coupled fire-atmosphere simulations with weather conditions typical of the planned burn locations and times. The variation and sensitivity analysis of the simulation design to model parameters performed by repeated Latin Hypercube Sampling is used to assess the locations of the sensors. The simulations provide the locations for the measurements that maximize the expected variation of the sensor outputs with varying the model parameters. View Full-Text
Keywords: coupled atmosphere-fire model; parameter identification; typical weather days; prescribed burn planning; plume rise; sensitivity analysis; sensor placement; FASMEE coupled atmosphere-fire model; parameter identification; typical weather days; prescribed burn planning; plume rise; sensitivity analysis; sensor placement; FASMEE

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

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    Description: Repositories containing the simulation software used and Matlab software developed for this work.

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Kochanski, A.K.; Fournier, A.; Mandel, J. Experimental Design of a Prescribed Burn Instrumentation. Atmosphere 2018, 9, 296.

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