ELMFIRE
CommunityAutonomous wildfire simulation knowledge infrastructure
Education & Research#fortran#geospatial#preflight#mpi#knowledge-infrastructure#elmfire#wildfire-modeling
Authorlzwei196
Version1.0.0
Installs0
System Documentation
What problem does it solve?
ELMFIRE Knowledge Infrastructure provides a reproducible, end-to-end workflow to run Eulerian level-set wildfire simulations by packaging data preparation, model configuration, execution, and diagnostics into a single operable unit.
Core Features & Use Cases
- End-to-end workflow: landscape data preparation, weather forcing, namelist generation, model execution, and post-processing.
- Preflight checks and diagnostics: prevents silent errors and validates outputs before analysis.
- Ensemble and validation ready: supports Monte Carlo runs and standardized results for comparison against observations.
Quick Start
Provide the elmfire.data namelist and inputs, then run the model to obtain time_of_arrival and burn probability outputs.
Dependency Matrix
Required Modules
numpyGDAL
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ELMFIRE Download link: https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation/archive/main.zip#elmfire Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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