GSTDTAP  > 地球科学
DOI10.5194/acp-17-13999-2017
Evaluation of climate model aerosol seasonal and spatial variability over Africa using AERONET
Horowitz, Hannah M.1; Garland, Rebecca M.2,3; Thatcher, Marcus4; Landman, Willem A.2,5; Dedekind, Zane2; van der Merwe, Jacobus2; Engelbrecht, Francois A.2,6
2017-11-24
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2017
卷号17期号:22
文章类型Article
语种英语
国家USA; South Africa; Australia
英文摘要

The sensitivity of climate models to the characterization of African aerosol particles is poorly understood. Africa is a major source of dust and biomass burning aerosols and this represents an important research gap in understanding the impact of aerosols on radiative forcing of the climate system. Here we evaluate the current representation of aerosol particles in the Conformal Cubic Atmospheric Model (CCAM) with ground-based remote retrievals across Africa, and additionally provide an analysis of observed aerosol optical depth at 550 nm (AOD(550nm)) and angstrom ngstrom exponent data from 34 Aerosol Robotic Network (AERONET) sites. Analysis of the 34 long-term AERONET sites confirms the importance of dust and biomass burning emissions to the seasonal cycle and magnitude of AOD(550nm) across the continent and the transport of these emissions to regions outside of the continent. In general, CCAM captures the seasonality of the AERONET data across the continent. The magnitude of modeled and observed multiyear monthly average AOD(550)mm overlap within 1 standard deviation of each other for at least 7 months at all sites except the Reunion St Denis Island site (Reunion St. Denis). The timing of modeled peak AOD(550nm) nm in southern Africa occurs 1 month prior to the observed peak, which does not align with the timing of maximum fire counts in the region. For the western and northern African sites, it is evident that CCAM currently overestimates dust in some regions while others (e.g., the Arabian Peninsula) are better characterized. This may be due to overestimated dust lifetime, or that the characterization of the soil for these areas needs to be updated with local information. The CCAM simulated AOD(550nm) for the global domain is within the spread of previously published results from CMIP5 and AeroCom experiments for black carbon, organic carbon, and sulfate aerosols. The model's performance provides confidence for using the model to estimate largescale regional impacts of African aerosols on radiative forcing, but local feedbacks between dust aerosols and climate over northern Africa and the Mediterranean may be overestimated.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000416151800002
WOS关键词BIOMASS BURNING EMISSIONS ; OPTICAL-PROPERTIES ; INTERANNUAL VARIABILITY ; VERTICAL-DISTRIBUTION ; RAINFALL VARIABILITY ; RADIATIVE IMPACT ; FIRE EMISSIONS ; DUST ; TRANSPORT ; ATLANTIC
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/28397
专题地球科学
作者单位1.Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA;
2.CSIR, Nat Resources & Environm Unit, ZA-0001 Pretoria, South Africa;
3.North West Univ, Climatol Res Grp, ZA-2520 Potchefstroom, South Africa;
4.CSIRO, Marine & Atmospher Res, Melbourne, Vic 3195, Australia;
5.Univ Pretoria, Dept Geog Geoinformat & Meteorol, ZA-0028 Hatfield, South Africa;
6.Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, ZA-2000 Johannesburg, South Africa
推荐引用方式
GB/T 7714
Horowitz, Hannah M.,Garland, Rebecca M.,Thatcher, Marcus,et al. Evaluation of climate model aerosol seasonal and spatial variability over Africa using AERONET[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(22).
APA Horowitz, Hannah M..,Garland, Rebecca M..,Thatcher, Marcus.,Landman, Willem A..,Dedekind, Zane.,...&Engelbrecht, Francois A..(2017).Evaluation of climate model aerosol seasonal and spatial variability over Africa using AERONET.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(22).
MLA Horowitz, Hannah M.,et al."Evaluation of climate model aerosol seasonal and spatial variability over Africa using AERONET".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.22(2017).
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