Some requirements for simulating wildland fire behavior using insight from coupled weather—wildland fire models

Research output: Contribution to journalReview articlepeer-review

36 Scopus citations

Abstract

A newer generation of models that interactively couple the atmosphere with fire behavior have shown an increased potential to understand and predict complex, rapidly changing fire behavior. This is possible if they capture intricate, time-varying microscale airflows in mountainous terrain and fire-atmosphere feedbacks. However, this benefit is counterbalanced by additional limitations and requirements, many arising from the atmospheric model upon which they are built. The degree to which their potential is realized depends on how coupled models are built, configured, and applied. Because these are freely available to users with widely ranging backgrounds, I present some limitations and requirements that must be understood and addressed to achieve meaningful fire behavior simulation results. These include how numerical weather prediction models are formulated for specific scales, their solution methods and numerical approximations, optimal model configurations for common scenarios, and how these factors impact reproduction of fire events and phenomena. I discuss methods used to adjust inadequate outcomes and advise on critical interpretation of fire modeling results, such as where errors from model limitations may be misinterpreted as natural unpredictability. I discuss impacts on other weather model-based applications that affect understanding of fire behavior and effects.

Original languageEnglish
Article number6
Pages (from-to)1-18
Number of pages18
JournalFire
Volume1
Issue number1
DOIs
StatePublished - Jun 2018

Keywords

  • CAWFE
  • Community models
  • Coupled atmosphere-fire model
  • Fire model
  • Numerical weather prediction
  • WRF

Fingerprint

Dive into the research topics of 'Some requirements for simulating wildland fire behavior using insight from coupled weather—wildland fire models'. Together they form a unique fingerprint.

Cite this