Abstract

Abstract. Long-range transport of black carbon (BC) is a growing concern as a result of the efficiency of BC in warming the climate and its adverse impact on human health. We study transpacific transport of BC during HIPPO-3 using a combination of inverse modeling and sensitivity analysis. We use the GEOS-Chem chemical transport model and its adjoint to constrain Asian BC emissions and estimate the source of BC over the North Pacific. We find that different sources of BC dominate the transport to the North Pacific during the southbound (29 March 2010) and northbound (13 April 2010) measurements in HIPPO-3. While biomass burning in Southeast Asia (SE) contributes about 60% of BC in March, more than 90% of BC comes from fossil fuel and biofuel combustion in East Asia (EA) during the April mission. GEOS-Chem simulations generally resolve the spatial and temporal variation of BC concentrations over the North Pacific, but are unable to reproduce the low and high tails of the observed BC distribution. We find that the optimized BC emissions derived from inverse modeling fail to improve model simulations significantly. This failure indicates that uncertainties in BC removal as well as transport, rather than in emissions, account for the major biases in GEOS-Chem simulations of BC over the North Pacific. The aging process, transforming BC from hydrophobic into hydrophilic form, is one of the key factors controlling wet scavenging and remote concentrations of BC. Sensitivity tests on BC aging (ignoring uncertainties of other factors controlling BC long range transport) suggest that in order to fit HIPPO-3 observations, the aging timescale of anthropogenic BC from EA may be several hours (faster than assumed in most global models), while the aging process of biomass burning BC from SE may occur much slower, with a timescale of a few days. To evaluate the effects of BC aging and wet deposition on transpacific transport of BC, we develop an idealized model of BC transport. We find that the mid-latitude air masses sampled during HIPPO-3 may have experienced a series of precipitation events, particularly near the EA and SE source region. Transpacific transport of BC is sensitive to BC aging when the aging rate is fast; this sensitivity peaks when the aging timescale is in the range of 1–1.5 d. Our findings indicate that BC aging close to the source must be simulated accurately at a process level in order to simulate better the global abundance and climate forcing of BC.

Highlights

  • Black carbon (BC) strongly absorbs solar and infrared radiation, resulting in a positive radiative forcing of climate (Ramanathan and Carmichael, 2008)

  • The adjoint of the GEOS-Chem model is applied to analyze the source of BC reaching the atmospheric column above the North Pacific during HIAPER pole-to-pole observations (HIPPO)-3

  • Biomass burning in Southeast Asia (SE), which peaks in March, is a major source of BC transported to the North Pacific during March

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Summary

Introduction

Black carbon (BC) strongly absorbs solar and infrared radiation, resulting in a positive radiative forcing of climate (Ramanathan and Carmichael, 2008). Model biases result from many factors of the simulations, including BC emissions and the parameterizations of BC aging, wet removal, and dry deposition processes (Liu et al, 2011). This paves the way to use inverse modeling to study the influence of factors other than BC emissions (e.g., BC aging, wet removal, and dry deposition) on BC simulation in models. As the aging process is a key factor governing remote-BC concentrations (Liu et al, 2011), we conduct a number of sensitivity tests on BC aging and develop an idealized BC transport model to investigate the key factors affecting transpacific transport These simulations reinforce the importance of a process-level simulation on BC aging and make recommendations for improving simulations of BC in global models.

The HIPPO aircraft campaign
GEOS-Chem model and its adjoint
Inverse modeling
Idealized transpacific BC transport model
Sensitivity of the North Pacific BC to BC aging
Findings
Conclusions
Full Text
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