Overview of the Dust and Biomass-burning Experiment and African Monsoon Multidisciplinary Analysis Special Observing Period-0

被引：157

作者：

Haywood, J. M. ^{[1
]}

Pelon, J. ^{[14
]}

Formenti, P. ^{[4
]}

Bharmal, N. ^{[2
]}

Brooks, M. ^{[1
]}

Capes, G. ^{[6
]}

Chazette, P. ^{[3
]}

Chou, C. ^{[4
]}

Christopher, S. ^{[5
]}

Coe, H. ^{[6
]}

Cuesta, J. ^{[7
]}

Derimian, Y. ^{[8
]}

Desboeufs, K. ^{[4
]}

Greed, G. ^{[1
]}

Harrison, M. ^{[1
]}

Heese, B. ^{[9
]}

Highwood, E. J. ^{[10
]}

Johnson, B. ^{[1
]}

Mallet, M. ^{[11
]}

Marticorena, B. ^{[4
]}

Marsham, J. ^{[12
]}

Milton, S. ^{[1
]}

Myhre, G. ^{[13
]}

Osborne, S. R. ^{[1
]}

Parker, D. J. ^{[12
]}

Rajot, J. -L. ^{[15
]}

Schulz, M. ^{[3
]}

Slingo, A.

Tanre, D. ^{[8
]}

Tulet, P. ^{[16
]}

机构：

[1] Met Off, Exeter EX5 1LZ, Devon, England

[2] Univ Reading, ESSC, Reading RG6 6AL, Berks, England

[3] CEA, DSM, LSCE, F-91191 Gif Sur Yvette, France

[4] Univ Paris 07, LISA, CNRS, F-94000 Creteil, France

[5] Univ Alabama, NSTC, Earth Syst Sci Ctr, Huntsville, AL 35805 USA

[6] Univ Manchester, Sch Earth & Atmospher & Environm Sci, Manchester M13 9PL, Lancs, England

[7] Ecole Polytech, Inst Pierre Simon Lapl, Meteorol Dynam Lab, F-91128 Palaiseau, France

[8] Univ Sci & Technol Lille, CNRS, Opt Atmospher Lab, F-59655 Villeneuve Dascq, France

[9] Leibniz Inst Tropospher Res, D-04318 Leipzig, Germany

[10] Univ Reading, Dept Meteorol, Reading RG6 6BB, Berks, England

[11] CNRS, UMR 5560, UPS, Lab Aerol, F-31400 Toulouse, France

[12] Univ Leeds, Inst Climate & Atmospher Sci Environm, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England

[13] Ctr Int Climate & Environm Res, N-0318 Oslo, Norway

[14] Univ Paris 06, IPSL, Serv Aeron, F-75252 Paris, France

[15] IRD, Niamey, Niger

[16] Meteo France, GAME, CNRM, F-31057 Toulouse, France

来源：

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES | 2008年 / 113卷

基金：

英国自然环境研究理事会;

关键词：

D O I：

10.1029/2008JD010077

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

The African Monsoon Multidisciplinary Analysis (AMMA) is a major international campaign investigating far-reaching aspects of the African monsoon, climate and the hydrological cycle. A special observing period was established for the dry season (SOP0) with a focus on aerosol and radiation measurements. SOP0 took place during January and February 2006 and involved several ground-based measurement sites across west Africa. These were augmented by aircraft measurements made by the Facility for Airborne Atmospheric Measurements (FAAM) aircraft during the Dust and Biomass-burning Experiment (DABEX), measurements from an ultralight aircraft, and dedicated modeling efforts. We provide an overview of these measurement and modeling studies together with an analysis of the meteorological conditions that determined the aerosol transport and link the results together to provide a balanced synthesis. The biomass burning aerosol was significantly more absorbing than that measured in other areas and, unlike industrial areas, the ratio of excess carbon monoxide to organic carbon was invariant, which may be owing to interaction between the organic carbon and mineral dust aerosol. The mineral dust aerosol in situ filter measurements close to Niamey reveals very little absorption, while other measurements and remote sensing inversions suggest significantly more absorption. The influence of both mineral dust and biomass burning aerosol on the radiation budget is significant throughout the period, implying that meteorological models should include their radiative effects for accurate weather forecasts and climate simulations. Generally, the operational meteorological models that simulate the production and transport of mineral dust show skill at lead times of 5 days or more. Climate models that need to accurately simulate the vertical profiles of both anthropogenic and natural aerosols to accurately represent the direct and indirect effects of aerosols appear to do a reasonable job, although the magnitude of the aerosol scattering is strongly dependent upon the emission data set.

引用

页数：20

共 62 条

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