Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.5194/acp-11-7781-2011 |
Global dust model intercomparison in AeroCom phase I | |
Huneeus, N.1; Schulz, M.1,2; Balkanski, Y.1; Griesfeller, J.1,2; Prospero, J.3; Kinne, S.4; Bauer, S.5,6; Boucher, O.8; Chin, M.9; Dentener, F.; Diehl, T.9,10; Easter, R.11; Fillmore, D.12; Ghan, S.11; Ginoux, P.13; Grini, A.14,15; Horowitz, L.13; Koch, D.5,6,7; Krol, M. C.16,17; Landing, W.18; Liu, X.11,19; Mahowald, N.20; Miller, R.6,21; Morcrette, J. -J.22; Myhre, G.14,23; Penner, J.19; Perlwitz, J.6,21; Stier, P.24; Takemura, T.25; Zender, C. S.26 | |
通讯作者 | Huneeus, N. |
来源期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2011 |
卷号 | 11期号:15页码:7781-7816 |
英文摘要 | This study presents the results of a broad intercomparison of a total of 15 global aerosol models within the AeroCom project. Each model is compared to observations related to desert dust aerosols, their direct radiative effect, and their impact on the biogeochemical cycle, i.e., aerosol optical depth (AOD) and dust deposition. Additional com parisons to Angstrom exponent (AE), coarse mode AOD and dust surface concentrations are included to extend the assessment of model performance and to identify common biases present in models. These data comprise a benchmark dataset that is proposed for model inspection and future dust model development. There are large differences among the global models that simulate the dust cycle and its impact on climate. In general, models simulate the climatology of vertically integrated parameters (AOD and AE) within a factor of two whereas the total deposition and surface concentration are reproduced within a factor of 10. In addition, smaller mean normalized bias and root mean square errors are obtained for the climatology of AOD and AE than for total deposition and surface concentration. Characteristics of the datasets used and their uncertainties may influence these differences. Large uncertainties still exist with respect to the deposition fluxes in the southern oceans. Further measurements and model studies are necessary to assess the general model performance to reproduce dust deposition in ocean regions sensible to iron contributions. Models overestimate the wet deposition in regions dominated by dry deposition. They generally simulate more realistic surface concentration at stations downwind of the main sources than at remote ones. Most models simulate the gradient in AOD and AE between the different dusty regions. However the seasonality and magnitude of both variables is better simulated at African stations than Middle East ones. The models simulate the offshore transport of West Africa throughout the year but they overestimate the AOD and they transport too fine particles. The models also reproduce the dust transport across the Atlantic in the summer in terms of both AOD and AE but not so well in winter-spring nor the southward displacement of the dust cloud that is responsible of the dust transport into South America. Based on the dependency of AOD on aerosol burden and size distribution we use model bias with respect to AOD and AE to infer the bias of the dust emissions in Africa and the Middle East. According to this analysis we suggest that a range of possible emissions for North Africa is 400 to 2200 Tg yr(-1) and in the Middle East 26 to 526 Tg yr(-1) |
类型 | Article |
语种 | 英语 |
国家 | France ; Norway ; USA ; Germany ; England ; Netherlands ; Japan |
收录类别 | SCI-E |
WOS记录号 | WOS:000293826500024 |
WOS关键词 | GENERAL-CIRCULATION MODEL ; ATMOSPHERIC IRON DEPOSITION ; LAST GLACIAL MAXIMUM ; MINERAL DUST ; AEROSOL DIRECT ; TROPOSPHERIC CHEMISTRY ; OPTICAL-PROPERTIES ; GODDARD-INSTITUTE ; NORTH-ATLANTIC ; SULFUR CYCLE |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
来源机构 | University of Oxford |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/167225 |
作者单位 | 1.IPSL, Lab Sci Climat & Environm, CEA CNRS UVSQ, Gif Sur Yvette, France; 2.Inst Meteorol, Oslo, Norway; 3.Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA; 4.Max Planck Inst Meteorol, Hamburg, Germany; 5.Columbia Univ, Earth Inst, New York, NY USA; 6.NASA, Goddard Inst Space Studies, New York, NY 10025 USA; 7.US DOE, Washington, DC USA; 8.Hadley Ctr, Met Off, Exeter, Devon, England; 9.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 10.Univ Space Res Assoc, Columbia, MD USA; 11.Pacific NW Natl Lab, Richland, WA 99352 USA; 12.NCAR, Boulder, CO USA; 13.NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA; 14.Univ Oslo, Dept Geosci, Oslo, Norway; 15.Kongsberg Oil & Gas Technol, Kongsberg, Norway; 16.Univ Utrecht, Inst Marine & Atmospher Res, Utrecht, Netherlands; 17.Wageningen Univ, Wageningen, Netherlands; 18.Florida State Univ, Dept Earth Ocean & Atmospher Sci, Tallahassee, FL 32306 USA; 19.Univ Michigan, Dept Atmospher Ocean & Space Sci, Ann Arbor, MI 48109 USA; 20.Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY USA; 21.Columbia Univ, Dept Appl Phys & Appl Math, New York, NY USA; 22.European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England; 23.Ctr Int Climate & Environm Res Oslo CICERO, Oslo, Norway; 24.Univ Oxford, Dept Phys, Oxford OX1 2JD, England; 25.Kyushu Univ, Res Inst Appl Mech, Fukuoka 812, Japan; 26.Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA |
推荐引用方式 GB/T 7714 | Huneeus, N.,Schulz, M.,Balkanski, Y.,et al. Global dust model intercomparison in AeroCom phase I[J]. University of Oxford,2011,11(15):7781-7816. |
APA | Huneeus, N..,Schulz, M..,Balkanski, Y..,Griesfeller, J..,Prospero, J..,...&Zender, C. S..(2011).Global dust model intercomparison in AeroCom phase I.ATMOSPHERIC CHEMISTRY AND PHYSICS,11(15),7781-7816. |
MLA | Huneeus, N.,et al."Global dust model intercomparison in AeroCom phase I".ATMOSPHERIC CHEMISTRY AND PHYSICS 11.15(2011):7781-7816. |
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