Wildfire model benchmarking input files
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| Title: | Wildfire model benchmarking input files |
|---|---|
| Authors: | Kalogeropoulos, Nikolaos, Rein, Guillermo |
| Publisher Information: | Zenodo |
| Publication Year: | 2025 |
| Collection: | Zenodo |
| Subject Terms: | Wildfires, Wildfires/statistics & numerical data, Development model |
| Description: | 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 Nikolaos Kalogeropoulos and Guillermo Rein, Imperial College London, UK, and it is based on the journal paper under review: N. Kalogeropoulos, G Rein, Benchmarking Wildfire Spread Models: Semi-Empirical, Machine Learning, and an Ensemble Approach, Fire Technology, 2025. Contact authors at g.rein@imperial.ac.uk and reingu@gmail.comWork funded by Engineering and Physical Sciences Research CouncilFile published under a Creative Commons license CC BY 4.0 |
| Document Type: | dataset |
| Language: | unknown |
| Relation: | https://zenodo.org/records/17011886; oai:zenodo.org:17011886; https://doi.org/10.5281/zenodo.17011886 |
| DOI: | 10.5281/zenodo.17011886 |
| Availability: | https://doi.org/10.5281/zenodo.17011886 https://zenodo.org/records/17011886 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: | edsbas.3A0E818A |
| Database: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | 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 Nikolaos Kalogeropoulos and Guillermo Rein, Imperial College London, UK, and it is based on the journal paper under review: N. Kalogeropoulos, G Rein, Benchmarking Wildfire Spread Models: Semi-Empirical, Machine Learning, and an Ensemble Approach, Fire Technology, 2025. Contact authors at g.rein@imperial.ac.uk and reingu@gmail.comWork funded by Engineering and Physical Sciences Research CouncilFile published under a Creative Commons license CC BY 4.0 |
|---|---|
| DOI: | 10.5281/zenodo.17011886 |