Abstract

Abstract. Though many global aerosols models prognose surface deposition, only a few models have been used to directly simulate the radiative effect from black carbon (BC) deposition to snow and sea ice. Here, we apply aerosol deposition fields from 25 models contributing to two phases of the Aerosol Comparisons between Observations and Models (AeroCom) project to simulate and evaluate within-snow BC concentrations and radiative effect in the Arctic. We accomplish this by driving the offline land and sea ice components of the Community Earth System Model with different deposition fields and meteorological conditions from 2004 to 2009, during which an extensive field campaign of BC measurements in Arctic snow occurred. We find that models generally underestimate BC concentrations in snow in northern Russia and Norway, while overestimating BC amounts elsewhere in the Arctic. Although simulated BC distributions in snow are poorly correlated with measurements, mean values are reasonable. The multi-model mean (range) bias in BC concentrations, sampled over the same grid cells, snow depths, and months of measurements, are −4.4 (−13.2 to +10.7) ng g−1 for an earlier phase of AeroCom models (phase I), and +4.1 (−13.0 to +21.4) ng g−1 for a more recent phase of AeroCom models (phase II), compared to the observational mean of 19.2 ng g−1. Factors determining model BC concentrations in Arctic snow include Arctic BC emissions, transport of extra-Arctic aerosols, precipitation, deposition efficiency of aerosols within the Arctic, and meltwater removal of particles in snow. Sensitivity studies show that the model–measurement evaluation is only weakly affected by meltwater scavenging efficiency because most measurements were conducted in non-melting snow. The Arctic (60–90° N) atmospheric residence time for BC in phase II models ranges from 3.7 to 23.2 days, implying large inter-model variation in local BC deposition efficiency. Combined with the fact that most Arctic BC deposition originates from extra-Arctic emissions, these results suggest that aerosol removal processes are a leading source of variation in model performance. The multi-model mean (full range) of Arctic radiative effect from BC in snow is 0.15 (0.07–0.25) W m−2 and 0.18 (0.06–0.28) W m−2 in phase I and phase II models, respectively. After correcting for model biases relative to observed BC concentrations in different regions of the Arctic, we obtain a multi-model mean Arctic radiative effect of 0.17 W m−2 for the combined AeroCom ensembles. Finally, there is a high correlation between modeled BC concentrations sampled over the observational sites and the Arctic as a whole, indicating that the field campaign provided a reasonable sample of the Arctic.

Highlights

  • Black carbon (BC) is a light-absorbing carbonaceous component of aerosol originating from the incomplete combustion of biomass and fossil fuel

  • The instantaneous increase of solar radiation absorption caused by the presence of black carbon (BC) in snow and sea ice, termed the BC-in-snow radiative effect, has been estimated by forward modeling with global aerosol and climate models (GCMs), but has uncertainties originating from global BC emissions, atmospheric transport and deposition processes, model snow and ice cover, BC optical properties, snow effective grain size, coincident absorption from other lightabsorbing constituents, and post-depositional transport of BC with meltwater (Flanner et al, 2007; Bond et al, 2013)

  • The spatial and temporal mean observed BC concentration averaged over all samples is 19.2 ng g−1

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Summary

Introduction

Black carbon (BC) is a light-absorbing carbonaceous component of aerosol originating from the incomplete combustion of biomass and fossil fuel. The reduction of snow and ice albedo caused by BC increases surface solar heating and can accelerate melting of the cryosphere This process triggers albedo feedback in the climate system, leading to higher efficacy than other forcing mechanisms (Hansen and Nazarenko, 2004). The instantaneous increase of solar radiation absorption caused by the presence of BC in snow and sea ice, termed the BC-in-snow radiative effect, has been estimated by forward modeling with global aerosol and climate models (GCMs), but has uncertainties originating from global BC emissions, atmospheric transport and deposition processes, model snow and ice cover, BC optical properties, snow effective grain size, coincident absorption from other lightabsorbing constituents, and post-depositional transport of BC with meltwater (Flanner et al, 2007; Bond et al, 2013). They did not, examine uncertainty or inter-model variability associated with BC transport and deposition to snow surfaces, a topic explored in this study

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