Flame — A Domain-Specific Language for Wildfire Modeling

Flame is a domain-specific programming language (DSL) developed to model wildfire behavior, express operational decision logic, and support environmental risk analysis. Designed for fire analysts, civil protection officers, and researchers, Flame enables real-time rule-based modeling using meteorological indices such as FWI, NDMI, and Haines. The interpreter is written in Python and is fully open-source. Flame supports integration with real-time data sources (e.g., IPMA, SGIFR, FIRMS) and is suited for simulation tools, dashboards, and educational purposes. This whitepaper introduces the motivation, syntax, use cases, and development roadmap of the Flame language. GitHub repository: https://github.com/dsantananet/flame-langLicense: MITAuthor: Daniel Ricardo Maranhão Santana

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-15
DOI
https://doi.org/10.5281/zenodo.15914829
Primary Topic
Genetic diversity and population structure
Type
article
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article

Flame — A Domain-Specific Language for Wildfire Modeling

Zenodo (CERN European Organization for Nuclear Research)
Genetic diversity and population structure
article

Flame — A Domain-Specific Language for Wildfire Modeling

article en

Abstract

Flame is a domain-specific programming language (DSL) developed to model wildfire behavior, express operational decision logic, and support environmental risk analysis. Designed for fire analysts, civil protection officers, and researchers, Flame enables real-time rule-based modeling using meteorological indices such as FWI, NDMI, and Haines. The interpreter is written in Python and is fully open-source. Flame supports integration with real-time data sources (e.g., IPMA, SGIFR, FIRMS) and is suited for simulation tools, dashboards, and educational purposes. This whitepaper introduces the motivation, syntax, use cases, and development roadmap of the Flame language. GitHub repository: https://github.com/dsantananet/flame-langLicense: MITAuthor: Daniel Ricardo Maranhão Santana

Zenodo (CERN European Organization for Nuclear Research)
Instituto da Conservação da Natureza e das Florestas (PT)
Openalex Percentile: Top 50%
Genetic diversity and population structure
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