Update Firebench case

Author: beverleyy

_datasets/wang2024.md

@@ -44,7 +44,7 @@ Specifically, the cases span a range of mean inlet velocity at 10 m above ground
 ## Quick Info
 * Contributors: Qing Wang, Matthias Ihme, Cenk Gazen, Yi-Fan Chen, John Anderson, Jen Zen Ho, Bassem Akoush
 * N<sub>x</sub> = 900, N<sub>y</sub> = 252
-* <a href="https://doi.org/10.48550/arXiv.2406.08589">DOI</a>
+* <a href="https://doi.org/10.1071/WF24097">DOI</a>
 * <a href="./assets/bib/wang2024.bib">.bib</a>
 
 ## Links to different cases
@@ -147,4 +147,4 @@ Specifically, the cases span a range of mean inlet velocity at 10 m above ground
 
 [2]. R. R. Linn. A transport model for prediction of wildfire behavior (No. LA-13334-T). PhD thesis. Los Alamos National Lab., NM, United States (1997).
 
-[3]. Q. Wang, M. Ihme, R. R. Linn, Y. F. Chen, V. Yang, F. Sha, C. Clements, J. S. McDanold, J. Anderson. A high-resolution large-eddy simulation framework for wildland fire predictions using TensorFlow. International journal of wildland fire (2023).
+[3]. Q. Wang, M. Ihme, R. R. Linn, Y. F. Chen, V. Yang, F. Sha, C. Clements, J. S. McDanold, J. Anderson. A high-resolution large-eddy simulation framework for wildland fire predictions using TensorFlow. International journal of wildland fire (2023).

assets/bib/wang2024.bib

@@ -1,8 +1,8 @@
 @article{Firebench2024,
-  title={FireBench: A High-fidelity Ensemble Simulation Framework for Exploring Wildfire Behavior and Data-driven Modeling}, 
-  , DOI={10.48550/arXiv.2406.08589}, 
-  journal={arXiv preprint}, 
+  title={A high-fidelity ensemble simulation framework for interrogating wildland-fire behaviour and benchmarking machine learning models}, 
+  , DOI={10.1071/WF24097}, 
+  journal={International Journal of Wildland Fire}, 
   author={Wang, Qing and Ihme, Matthias and Gazen, Cenk and Chen, YF and Anderson, J}, 
   year={2024}, 
-  publisher={arXiv}
-} 
+  publisher={CSIRO Publishing}
+}