Experimental Design of a Prescribed Burn Instrumentation

Type: Article

Publication Date: 2018-07-29

Citations: 15

DOI: https://doi.org/10.3390/atmos9080296

Abstract

Observational data collected during experiments, such as the planned Fire and Smoke Model Evaluation Experiment (FASMEE), are critical for progressing 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 that include the ignition procedures, 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 time of the year. Analysis of variation and sensitivity analysis of simulation design to model parameters by repeated Latin Hypercube Sampling are used to assess the locations of the sensors. The simulations provide the locations of the measurements that maximize the expected variation of the sensor outputs with the model parameters.

Locations

  • arXiv (Cornell University) - View - PDF
  • NOAA Institutional Repository - View - PDF
  • DataCite API - View
  • Atmosphere - View - PDF

Similar Works

Action Title Year Authors
+ Ignition from a Fire Perimeter in a WRF Wildland Fire Model 2011 Volodymyr Y. Kondratenko
Jonathan Beezley
Adam K. Kochanski
Jan Mandel
+ Ignition from a Fire Perimeter in a WRF Wildland Fire Model 2011 Volodymyr Y. Kondratenko
Jonathan Beezley
Adam K. Kochanski
Jan Mandel
+ PDF Chat Evaluation of WRF-SFIRE performance with field observations from the FireFlux experiment 2013 Adam K. Kochanski
Mary Ann Jenkins
Jan Mandel
Jonathan Beezley
Craig B. Clements
Steven K. Krueger
+ Evaluation of WRF-SFIRE performance with field observations from the FireFlux experiment 2013 Adam K. Kochanski
Mary Ann Jenkins
Jan Mandel
Jonathan Beezley
Craig B. Clements
Steven K. Krueger
+ PDF Chat Fire and smoke digital twin – A computational framework for modeling fire incident outcomes 2024 Ryan Hardesty Lewis
Junfeng Jiao
Kijin Seong
Arya Farahi
Paul Navrátil
Nate Casebeer
Dev Niyogi
+ An interpretable wildfire spreading model for real-time predictions 2023 Konstantinos Vogiatzoglou
Costas Papadimitriou
Konstantinos Ampountolas
Michail Chatzimanolakis
Petros Koumoutsakos
V. Bontozoglou
+ Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire–Atmosphere DDDAS 2012 Jan Mandel
Jonathan Beezley
Adam K. Kochanski
Volodymyr Y. Kondratenko
Minjeong Kim
+ Coupled Atmosphere-Fire Simulations of Fireflux: Impacts of Model Resolution on Model Performance 2011 Adam K. Kochanski
Steven K. Krueger
Mary Ann Jenkins
Jan Mandel
Jonathan Beezley
+ Fire and Smoke Digital Twin -- A computational framework for modeling fire incident outcomes 2023 Junfeng Jiao
Ryan Hardesty Lewis
Kijin Seong
Arya Farahi
Paul Navrátil
Nate Casebeer
Dev Niyogi
+ Optimal Experimental Design for the Assessment of Thermophysical Properties in Existing Building Walls 2023 Suelen Gasparin
Julien Berger
Giampaolo D’Alessandro
Filippo de Monte
Dariusz Uciński
+ Etude numérique d'une couche de mélange supersonique d'hydrogène et d'air : conditions d'allumage et structure de la combustion 1995 M. René-Corail
+ Exploring and Analyzing Wildland Fire Data Via Machine Learning Techniques 2023 Dipak Dulal
Joseph J. Charney
Michael R. Gallagher
Carmeliza Navasca
Nicholas S. Skowronski
+ Assimilation of Satellite Active Fires Data 2022 James D. Haley
+ Experimental modelling and estimation of time varying thermal sources 2003 Étienne Videcoq
Daniel Petit
André Piteau
+ PDF Chat Prescribed burns as a tool to mitigate future wildfire smoke exposure: Lessons for states and rural environmental justice communities 2022 Makoto Kelp
Matthew Carroll
Tianjia Liu
Robert M. Yantosca
Heath Hockenberry
Loretta J. Mickley
+ PDF Chat FIRETEC evaluation against the FireFlux experiment: preliminary results 2014 Jean‐Luc Dupuy
François Pimont
Rodman Linn
Craig B. Clements
+ A user's guide for CFAST version 1.6 1992 Walter W. Jones
Richard D. Peacock
+ PDF Chat Toward an integrated system for fire, smoke and air quality simulations 2015 Adam K. Kochanski
Mary Ann Jenkins
Kara M. Yedinak
Jan Mandel
Jonathan Beezley
Brian Lamb
+ Role of experiments in the accurate numerical simulation of thermal processes 2010 Yogesh Jaluria
+ The estimation of firedamp : Flame caps 1927 C. S. W. Grice
Donald Whitley Woodhead

Works Cited by This (9)

Action Title Year Authors
+ PDF Chat Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011 2011 Jan Mandel
Jonathan Beezley
Adam K. Kochanski
+ Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates 2001 I. M. Sobol
+ PDF Chat Data assimilation for wildland fires 2009 Jan Mandel
Jonathan Beezley
Janice L. Coen
Minjeong Kim
+ A wildland fire modeling and visualization environment 2011 Jan Mandel
Jonathan Beezley
Adam K. Kochanski
Volodymyr Y. Kondratenko
Lin Zhang
Erik Anderson
Joel Daniels
Claudio Silva
Christopher R. Johnson
+ Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire–Atmosphere DDDAS 2012 Jan Mandel
Jonathan Beezley
Adam K. Kochanski
Volodymyr Y. Kondratenko
Minjeong Kim
+ PDF Chat Evaluation of WRF-SFIRE performance with field observations from the FireFlux experiment 2013 Adam K. Kochanski
Mary Ann Jenkins
Jan Mandel
Jonathan Beezley
Craig B. Clements
Steven K. Krueger
+ PDF Chat Toward an integrated system for fire, smoke and air quality simulations 2015 Adam K. Kochanski
Mary Ann Jenkins
Kara M. Yedinak
Jan Mandel
Jonathan Beezley
Brian Lamb
+ PDF Chat Data Assimilation for Wildland Fires: Ensemble Kalman filters in coupled atmosphere-surface models 2007 Jan Mandel
Jonathan Beezley
Janice L. Coen
Minjeong Kim
+ Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1979 Michael D. McKay
Richard J. Beckman
W. J. Conover