Representing low-intensity fire sensible heat output in a mesoscale atmospheric model with a canopy submodel: a case study with ARPS-CANOPY (version 5.2.12)

Kiefer, Michael T.; Heilman, Warren E.; Zhong, Shiyuan; Charney, Joseph J.; Bian, Xindi; Skowronski, Nicholas S.; Clark, Kenneth L.; Gallagher, Michael R.; Hom, John L.; Patterson, Matthew

doi:https://doi.org/10.5194/gmd-15-1713-2022

Articles | Volume 15, issue 4

Geosci. Model Dev., 15, 1713–1734, 2022

https://doi.org/10.5194/gmd-15-1713-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Geosci. Model Dev., 15, 1713–1734, 2022

https://doi.org/10.5194/gmd-15-1713-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 4

Development and technical paper 28 Feb 2022

Development and technical paper | 28 Feb 2022

Representing low-intensity fire sensible heat output in a mesoscale atmospheric model with a canopy submodel: a case study with ARPS-CANOPY (version 5.2.12)

Michael T. Kiefer et al.

Supplement

https://doi.org/10.5194/gmd-15-1713-2022-supplement

Data sets

Representing Low-Intensity Fire Sensible Heat Output in a Mesoscale Atmospheric Model with a Canopy Submodel: A Case Study with ARPS-CANOPY (version 5.2.12) [Data set] M. T. Kiefer, W. E. Heilman, S. Zhong, J. J. Charney, X. Bian, N. S. Skowronski, K. L. Clark, M. R. Gallagher, J. L. Hom, and M. Patterson https://doi.org/10.7910/DVN/JJCPND

Short summary

We examine methods used to represent wildland fire sensible heat release in atmospheric models. A set of simulations are evaluated using observations from a low-intensity prescribed fire in the New Jersey Pine Barrens. The comparison is motivated by the need for guidance regarding the representation of low-intensity fire sensible heating in atmospheric models. Such fires are prevalent during prescribed fire operations and can impact the health and safety of fire personnel and the public.