Sources and distributions of dust aerosols simulated with the GOCART model

The global distribution of dust aerosol is simulated with the Georgia Tech/Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) model. In this model all topographic lows with bare ground surface are assumed to have accumulated sediments which are potential dust sources. The uplifting of dust particles is expressed as a function of surface wind speed and wetness. The GOCART model is driven by the assimilated meteorological fields from the Goddard Earth Observing System Data Assimilation System (GEOS DAS) which facilitates direct comparison with observations. The model includes seven size classes of mineral dust ranging from 0.1–6 μm radius. The total annual emission is estimated to be between 1604 and 1960 Tg yr−1 in a 5-year simulation. The model has been evaluated by comparing simulation results with ground-based measurements and satellite data. The evaluation has been performed by comparing surface concentrations, vertical distributions, deposition rates, optical thickness, and size distributions. The comparisons show that the model results generally agree with the observations without the necessity of invoking any contribution from anthropogenic disturbances to soils. However, the model overpredicts the transport of dust from the Asian sources to the North Pacific. This discrepancy is attributed to an overestimate of small particle emission from the Asian sources.

[1]  C. N. Davies,et al.  The Mechanics of Aerosols , 1964 .

[2]  E. Ganor,et al.  Transport of Saharan dust across the eastern Mediterranean , 1982 .

[3]  B. R. White,et al.  Saltation threshold on Earth, Mars and Venus , 1982 .

[4]  K. Pye Aeolian dust and dust deposits , 1987 .

[5]  R. Duce,et al.  Trace elements in the atmosphere of American Samoa: Concentrations and deposition to the tropical South Pacific , 1987 .

[6]  J. Prospero,et al.  Deposition rate of particulate and dissolved aluminum derived from saharan dust in precipitation at Miami, Florida , 1987 .

[7]  J. Labraga,et al.  Design of a Nonsingular Level 2.5 Second-Order Closure Model for the Prediction of Atmospheric Turbulence , 1988 .

[8]  Ranjit M. Passi,et al.  Modeling dust emission caused by wind erosion , 1988 .

[9]  Rainer Bleck,et al.  Meteorological analysis of long range transport of mineral aerosols over the North Pacific , 1989 .

[10]  Sylvie Joussaume,et al.  Three-dimensional simulations of the atmospheric cycle of desert dust particles using a general circulation model , 1990 .

[11]  R. Duce,et al.  Concentrations, sources, and fluxes of trace elements in the remote marine atmosphere of New Zealand , 1990 .

[12]  Thomas F. Eck,et al.  Temporal and spatial variability of aerosol optical depth in the Sahel region in relation to vegetation remote sensing , 1991 .

[13]  B. Hicks,et al.  The atmospheric input of trace species to the world ocean , 1991 .

[14]  A. Gaudichet,et al.  Saharan dust deposition over Mont Blanc (French Alps) during the last 30 years , 1991 .

[15]  C. Genthon,et al.  Simulations of desert dust and sea-salt aerosols in Antarctica with a general circulation model of the atmosphere , 1992 .

[16]  R. Hillamo,et al.  Chemical constituents in the air and snow at Dye 3, Greenland—I. Seasonal variations , 1993 .

[17]  J. Prospero,et al.  The temporal and spatial variability of scavenging ratios for NSS sulfate, nitrate, methanesulfonate and sodium in the Atmosphere over the North Atalantic Ocean , 1993 .

[18]  Richard B. Rood,et al.  An assimilated dataset for Earth science applications , 1993 .

[19]  P. Kållberg,et al.  The ‘yellow snowepisode’ of northern Fennoscandia, march 1991—A case study of long-distance transport of soil, pollen and stable organic compounds , 1994 .

[20]  I. Fung,et al.  Modeling of mineral dust in the atmosphere: Sources, transport, and optical thickness , 1994 .

[21]  J. Townshend,et al.  NDVI-derived land cover classifications at a global scale , 1994 .

[22]  Andrea Molod,et al.  Technical report series on global modeling and data assimilation. Volume 1: Documentation of the Goddard Earth Observing System (GEOS) General Circulation Model, version 1 , 1994 .

[23]  Inez Y. Fung,et al.  Contribution to the atmospheric mineral aerosol load from land surface modification , 1995 .

[24]  B. Marticorena,et al.  Modeling the atmospheric dust cycle: 1. Design of a soil-derived dust emission scheme , 1995 .

[25]  J. Lelieveld,et al.  Role of mineral aerosol as a reactive surface in the global troposphere , 1996 .

[26]  Shian-Jiann Lin,et al.  Transport-induced interannual variability of carbon monoxide determined using a chemistry and transport model , 1996 .

[27]  Z. Levin,et al.  The Effects of Desert Particles Coated with Sulfate on Rain Formation in the Eastern Mediterranean , 1996 .

[28]  Shian‐Jiann Lin,et al.  Multidimensional Flux-Form Semi-Lagrangian Transport Schemes , 1996 .

[29]  Andrew A. Lacis,et al.  Modeling of particle size distribution and its influence on the radiative properties of mineral dust aerosol , 1996 .

[30]  A. Lacis,et al.  The influence on climate forcing of mineral aerosols from disturbed soils , 1996, Nature.

[31]  Raupach,et al.  A model for predicting aeolian sand drift and dust entrainment on scales from paddock to region , 1996 .

[32]  David M. Winker,et al.  An overview of LITE: NASA's Lidar In-space Technology Experiment , 1996, Proc. IEEE.

[33]  G. Stenchikov,et al.  The impact of aerosols on solar ultraviolet radiation and photochemical smog. , 1997, Science.

[34]  A. Avila,et al.  Mineralogical composition of African dust delivered by red rains over northeastern Spain , 1997 .

[35]  Larry L. Stowe,et al.  Characterization of tropospheric aerosols over the oceans with the NOAA advanced very high resolution radiometer optical thickness operational product , 1997 .

[36]  P. Bhartia,et al.  Global distribution of UV-absorbing aerosols from Nimbus 7/TOMS data , 1997 .

[37]  Philippe Bousquet,et al.  Origins of African dust transported over the northeastern tropical Atlantic , 1997 .

[38]  Mian Chin,et al.  Contribution of different aerosol species to the global aerosol extinction optical thickness: Estimates from model results , 1997 .

[39]  M. Schulz,et al.  Role of aerosol size distribution and source location in a three‐dimensional simulation of a Saharan dust episode tested against satellite‐derived optical thickness , 1998 .

[40]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[41]  R. Arimoto,et al.  Concentration, size-distribution and deposition of mineral aerosol over Chinese desert regions , 1998 .

[42]  P. Bhartia,et al.  Derivation of aerosol properties from satellite measurements of backscattered ultraviolet radiation , 1998 .

[43]  Sandy P. Harrison,et al.  Dust sources and deposition during the last glacial maximum and current climate: A comparison of model results with paleodata from ice cores and marine sediments , 1999 .

[44]  S. H. Melfi,et al.  Validation of the Saharan dust plume conceptual model using lidar, meteosat, and ECMWF Data , 1999 .

[45]  T. Eck,et al.  Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols , 1999 .

[46]  Alexander Smirnov,et al.  Cloud-Screening and Quality Control Algorithms for the AERONET Database , 2000 .

[47]  Michael D. King,et al.  A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements , 2000 .

[48]  Yoram J. Kaufman,et al.  Relationship between column aerosol optical thickness and in situ ground based dust concentrations over Barbados , 2000 .

[49]  Hajime Okamoto,et al.  Global three‐dimensional simulation of aerosol optical thickness distribution of various origins , 2000 .

[50]  T. Eck,et al.  Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements , 2000 .

[51]  Y. Balkanski,et al.  Modeling the atmospheric distribution of mineral aerosol : Comparison with ground measurements and satellite observations for yearly and synoptic timescales over the North Atlantic , 2000 .