SJSU ScholarWorks
metadata only
Improving Fire Simulations in Complex Terrain by Assimilating Fire and Weather Data
Wildfire simulations rely heavily on near-surface atmospheric conditions and accurate fire-state initialization, and uncertainty in either can result in significant forecast errors. Using observational data from the California Canyon Fire Experiment (CCFE), this study investigates how assimilating a
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- UAV-Based Estimation of Fuel Structure and Dynamics in a California Canyon Fire Experiment#1081930
- Data and code from: Characterizing wildfire behavior with ECOSTRESS land surface temperature across four California case studies#215119
- Conceptual Clarity in Fire Science: A Systematic Review Linking Climatic Factors to Wildfire Occurrence and Spread#464322
- Advances in forest fire research 2014#486700
- LTM: Large-scale Terrain Model for Wildfire-prone Landscapes#353045
Record · ID 1135810
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive