Wildfire model benchmarking input files
收藏Zenodo2025-09-01 更新2026-05-29 收录
下载链接:
https://zenodo.org/doi/10.5281/zenodo.17020089
下载链接
链接失效反馈官方服务:
资源简介:
This is the set of input files for the Farsite, Prometheus, ELMFIRE, EPD, EPD-ConvLSTM, and FDS LS wildfire spread models, to conduct a benchmarkign study. It is written by (Author 1) and (Author 2), (University), and it is based on the journal paper under review:
(Author 1), (Author 2), Benchmarking Wildfire Spread Models: Semi-Empirical, Machine Learning, and an Ensemble Approach, Fire Technology, 2025. (Under Review)
Contact authors at (Author 2) and (Author 2)Work funded by Engineering and Physical Sciences Research CouncilFile published under a Creative Commons license CC BY 4.0
本数据集为用于开展基准测试研究的Farsite、Prometheus、ELMFIRE、EPD、EPD-ConvLSTM及FDS LS野火扩散模型的输入文件集合。本数据集由(作者1)与(作者2)(所属大学)编制,基于以下待审期刊论文:
(作者1)、(作者2),《野火扩散模型基准测试:半经验方法、机器学习方法与集成学习方法》,《Fire Technology》,2025年(待刊)。
可联系本文作者(作者2)与(作者2),本研究受工程与物理科学研究委员会(Engineering and Physical Sciences Research Council, EPSRC)资助,本数据集采用知识共享署名4.0(CC BY 4.0)许可协议发布。
提供机构:
Zenodo创建时间:
2025-09-01



