Abstract

Abstract. Aerosols from fire emissions can potentially have large impact on clouds and radiation. However, fire aerosol sources are often intermittent, and their effect on weather and climate is difficult to quantify. Here we investigated the short-term effective radiative forcing of fire aerosols using the global aerosol–climate model Community Atmosphere Model version 5 (CAM5). Different from previous studies, we used nudged hindcast ensembles to quantify the forcing uncertainty due to the chaotic response to small perturbations in the atmosphere state. Daily mean emissions from three fire inventories were used to consider the uncertainty in emission strength and injection heights. The simulated aerosol optical depth (AOD) and mass concentrations were evaluated against in situ measurements and reanalysis data. Overall, the results show the model has reasonably good predicting skills. Short (10-day) nudged ensemble simulations were then performed with and without fire emissions to estimate the effective radiative forcing. Results show fire aerosols have large effects on both liquid and ice clouds over the two selected regions in April 2009. Ensemble mean results show strong negative shortwave cloud radiative effect (SCRE) over almost the entirety of southern Mexico, with a 10-day regional mean value of −3.0 W m−2. Over the central US, the SCRE is positive in the north but negative in the south, and the regional mean SCRE is small (−0.56 W m−2). For the 10-day average, we found a large ensemble spread of regional mean shortwave cloud radiative effect over southern Mexico (15.6 % of the corresponding ensemble mean) and the central US (64.3 %), despite the regional mean AOD time series being almost indistinguishable during the 10-day period. Moreover, the ensemble spread is much larger when using daily averages instead of 10-day averages. This demonstrates the importance of using a large ensemble of simulations to estimate the short-term aerosol effective radiative forcing.

Highlights

  • IntroductionAerosol and gas emissions from biomass burning can change the atmospheric composition and potentially affect the weather and climate

  • Natural and human-induced fires play an important role in the Earth system

  • Model-simulated aerosol optical depth (AOD) are evaluated against the Naval Research Laboratory (NRL) and Monitoring Atmospheric Composition and Climate (MACC) reanalysis data (Fig. 3)

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Summary

Introduction

Aerosol and gas emissions from biomass burning can change the atmospheric composition and potentially affect the weather and climate. Substantial increases of concentrations dominated by organic carbon enhancements are observed in regions with biomass burning events (Zeng and Wang, 2011; Lin et al, 2013; Brito et al, 2014; Reddington et al, 2014). Biomass burning emissions have a large impact on the global and regional mean aerosol optical depth (AOD; Jacobson, 2014). Previous studies have investigated the global and regional radiative forcing of fire aerosols using long climatological simulations or satellite retrievals. Ward et al (2012) investigated the radiative forcing of global fires in preindustrial, present-day, and future periods.

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