You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
AUTHOR = {Filippi, Jean-Baptiste and Durand, Jonathan and Tulet, Pierre and Bielli, Soline},
297
-
TITLE = {Multiscale Modeling of Convection and Pollutant Transport Associated with Volcanic Eruption and Lava Flow: Application to the April 2007 Eruption of the Piton de la Fournaise (Reunion Island)},
297
+
TITLE = {Multiscale Modeling of Convection and Pollutant Transport Associated with Volcanic Eruption and Lava Flow: Application to the April 2007 Eruption of the {Piton de la Fournaise} ({Reunion Island})},
298
298
JOURNAL = {Atmosphere},
299
299
VOLUME = {12},
300
300
YEAR = {2021},
@@ -306,13 +306,13 @@ @Article{filippi2021
306
306
DOI = {10.3390/atmos12040507}
307
307
}
308
308
@article{filippi2013,
309
-
title = {Assessment of FOREFIRE/MESONH for wildland fire/atmosphere coupled simulation of the FireFlux experiment},
309
+
title = {Assessment of {FOREFIRE}/{MESONH} for wildland fire/atmosphere coupled simulation of the {FireFlux} experiment},
310
310
author = {Filippi, Jean-Baptiste and Pialat, Xavier and Clements, Craig},
311
311
abstract = {{Numerical simulations using a coupled approach between Meso-NH (Non-Hydrostatic) LES (Large Eddy Simulation) mesoscale atmospheric model and ForeFire wildland fire area simulator are compared to experimental data to assess the performance of the proposed coupled approach in predicting fine-scale properties of the dynamics of wildland fires. Meso-NH is a non-hydrostatic, large eddy simulation capable, atmospheric research model. ForeFire insures a front tracking of the fire front by means of Lagrangian markers evolving on the earth's surface according to a physical rate-ofspread model. The atmospheric model forces the fire behaviour through the surface wind field, whereas the fire forces the atmosphere simulation through surface boundary conditions of heat and vapour fluxes. The FireFlux experiment, an experimental 32Ha burn of tall grass instrumented with wind profilers and thermocouples, was designed specifically to estimate the atmospheric perturbation introduced by wildland fire. Comparisons of the simulations at different resolutions with the largescale experiment validate the chosen coupling methodology and the choice of a coupled approach with a meso-scale atmospheric model for the prediction of wildland fire propagation. Distinct fire propagation behaviour is simulated between coupled and non-coupled simulation. While the simulations did not reproduce high frequency perturbations, it is shown that the atmospheric model captures well atmospheric perturbations induced by combustion at the ground level in terms of behaviour and amplitude.}},
312
312
keywords = {pub},
313
313
affiliation = {Sciences pour l'environnement - SPE , Department of Meteorology and Climate Science -},
314
314
pages = {2633-2640},
315
-
journal = {PROCEEDINGS OF THE COMBUSTION INSTITUTE},
315
+
journal = {Proceedings of the Combustion Institute},
Copy file name to clipboardExpand all lines: paper/paper.md
+3-3Lines changed: 3 additions & 3 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -100,8 +100,8 @@ ForeFire was developed as a community tool to fill the gap between highly comple
100
100
101
101
## Rapid prototyping of new models
102
102
ForeFire implements several standard fire flux and spread rate models, such as Rothermel [@andrews2018] and Balbi [@balbi2009], and makes it trivial to switch, extend, or add to this base with a single `.cpp` file using any existing model file as a template.
103
-
Internally, data is handled as *layers* that can come from a NumPy array, be read from NetCDF, or be generated on the fly by ForeFire (e.g., slope derived from the elevation layer, fuel loaded as an index map with tabulated fuel — with part of [@Scott2005] fuel table already available).
104
-
Developing a Rate Of Spread wildfire model was the original purpose of this simulation code and helped to iterate versions of the Balbi Rate Of Spread formulation on case studies in [@balbi2009] and [@santoni2011]. It also served to implement various heat and chemical species flux models used for volcanic eruption in [@filippi2021], plume chemistry [@strada2012], or industrial fires in[@baggio2022]. In addition, the code includes a generic `ANNPropagationModel` that implements a feedforward artificial neural network (ANN) and expects a pre-trained graph file.
103
+
Internally, data is handled as *layers* that can come from a NumPy array, be read from NetCDF, or be generated on the fly by ForeFire (e.g., slope derived from the elevation layer, fuel loaded as an index map with tabulated fuel — with part of `@Scott2005` fuel tables already available).
104
+
Developing a Rate Of Spread wildfire model was the original purpose of this simulation code and helped to iterate versions of the Balbi Rate Of Spread formulation on case studies [@balbi2009;@santoni2011]. It also served to implement various heat and chemical species flux models used for volcanic eruption [@filippi2021], plume chemistry [@strada2012], or industrial fires [@baggio2022]. In addition, the code includes a generic `ANNPropagationModel` that implements a feedforward artificial neural network (ANN) and expects a pre-trained graph file.
105
105
106
106
## Batch simulations with the ForeFire scripting
107
107
Custom FF language allows users to easily generate multiple scenarios, including fire-fighting strategies, model evaluation [@filippi2014], ensemble forecasts [@allaire2020], or generate a deep learning database [@allaire2021]. A FF script is a set of scheduled instructions that are interpreted in real-time, advancing the simulation clock with a `step[dt=]` or a `goTo[t=]` command.
@@ -117,7 +117,7 @@ The same scripts can be executed in coupled mode with the Open-Source atmospheri
117
117
118
118
Coupled simulations generate gigabytes of 3D data that can be converted to VTK/VTU files using Python helper scripts to visualize in the open-source tool ParaView, as shown in \autoref{fig:coupled}.
119
119
120
-
![Coupled simulation of the Pedrogao Grande wildfire [@couto2024] (Paraview). On the ground, the burned area is in orange, while among atmospheric variables, downbursts are highlighted in red and pyro-cumulonimbus clouds in blue.\label{fig:coupled}](coupled.jpg)
120
+
![Coupled simulation of the Pedrogao Grande wildfire [@couto2024] (Paraview rendering). On the ground, the burned area is in orange, while among atmospheric variables, downbursts are highlighted in red and pyro-cumulonimbus clouds in blue.\label{fig:coupled}](coupled.jpg)
121
121
122
122
# Acknowledgements
123
123
This work has been supported by the Centre National de la Recherche Scientifique and French National Research Agency under grants **ANR-09-COSI-006-01 (IDEA)** and **ANR-16-CE04-0006 (FIRECASTER)**. The authors thank all contributors and collaborators who have assisted in the development and testing of the ForeFire software.
0 commit comments