Articles | Volume 19, issue 23
https://doi.org/10.5194/acp-19-15157-2019
https://doi.org/10.5194/acp-19-15157-2019
Research article
 | 
13 Dec 2019
Research article |  | 13 Dec 2019

Evaluating wildfire emissions projection methods in comparisons of simulated and observed air quality

Uma Shankar, Donald McKenzie, Jeffrey P. Prestemon, Bok Haeng Baek, Mohammed Omary, Dongmei Yang, Aijun Xiu, Kevin Talgo, and William Vizuete

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Cited articles

Abatzoglou, J. T. and Williams, A. P.: Impact of anthropogenic climate change on wildfire across western US forests, P. Natl. Acad. Sci. USA, 113, 11770–11775, https://doi.org/10.1073/pnas.1607171113, 2016. 
Appel, K. W., Gilliland, A., Sarwar, G., and Gilliam, R.: Evaluation of the Community Multiscale Air Quality (CMAQ) model version 4.5: Sensitivities impacting model predictions: Part I – Ozone, Atmos. Environ., 41, 9603–9615, 2007. 
Appel, K. W., Bhave, P., Gilliland, A., Sarwar, G., and Roselle, S.: Evaluation of the Community Multiscale Air Quality (CMAQ) model version 4.5: Sensitivities impacting model predictions: Part II – Particulate matter, Atmos. Environ., 42, 6057–6066, 2008. 
Appel, K. W., Gilliam, R. C., Davis, N., Zubrow, A., and Howard S. C.: Overview of the Atmospheric Model Evaluation Tool (AMET) v1.1 for evaluating meteorological and air quality models, Environ. Modell. Softw., 26, 4, 434–443, 2011. 
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We evaluate two wildfire emissions estimates for the southeastern US, based on projected annual areas burned in 2011–2060, against a benchmark wildfire inventory in air quality (AQ) simulations for 2010 and AQ network observations. Our emissions estimates compare well with the benchmark but all three simulations have large biases compared to observations. We find our methods suitable to assess current and future wildfire AQ impacts but also identify areas for AQ model improvements.
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