Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1713-2022
https://doi.org/10.5194/gmd-15-1713-2022
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, Warren E. Heilman, Shiyuan Zhong, Joseph J. Charney, Xindi Bian, Nicholas S. Skowronski, Kenneth L. Clark, Michael R. Gallagher, John L. Hom, and Matthew Patterson

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Cited articles

Ahmadov, R., Grell, G., James, E., Freitas, S., Pereira, G., Csiszar, I., Tsidulko, M., Pierce, B., McKeen, S., Peckham, S., Alexander, C., Saide, P., and Benjamin, S.: A High-Resolution Coupled Meteorology-Smoke Modeling System HRRR-Smoke to Simulate Air Quality over the CONUS Domain in Real Time, Geophys. Res. Abstr., 19, EGU2017–10841, https://meetingorganizer.copernicus.org/EGU2017/EGU2017-10841.pdf (last access: 30 September 2021), 2017. a
Ahmadov, R., James, E., Grell, G., Alexander, C., and McKeen, S.: Operational implementation of the smoke forecasting capability in the RAP/HRRR numerical weather prediction system, EGU General Assembly 2021, online, 19–30 April 2021, EGU21-14268, https://doi.org/10.5194/egusphere-egu21-14268, 2021. a
Banerjee, T., Heilman, W., Goodrick, S., Hiers, J. K., and Linn, R.: Effects of Canopy Midstory Management and Fuel Moisture on Wildfire Behavior, Sci. Rep.-UK, 10, 17312, https://doi.org/10.1038/s41598-020-74338-9, 2020. a
Benech, B.: Experimental Study of an Artificial Convective Plume Initiated From the Ground., J. Appl. Meteorol. Clim., 15, 127–137, https://doi.org/10.1175/1520-0450(1976)015<0127:ESOAAC>2.0.CO;2, 1976. a
Brown, B. G., Gilleland, E., and Ebert, E. E.: Forecasts of Spatial Fields, in: Forecast Verification: A Practitioner's Guide in Atmospheric Science, edited by: Jolliffe, I. T. and Stephenson, D. B., 2nd edn., ISBN 978-0-470-66071-3, 95–117, John Wiley & Sons, 2011. a, b
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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.