Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data

This study evaluates model-simulated dust aerosols over North Africa and the North Atlantic from five global models that participated in the Aerosol Comparison between Observations and Models phase II model experiments. The model results are compared with satellite aerosol optical depth (AOD) data from Moderate Resolution Imaging Spectroradiometer (MODIS), Multiangle Imaging Spectroradiometer (MISR), and Sea-viewing Wide Field-of-view Sensor, dust optical depth (DOD) derived from MODIS and MISR, AOD and coarse-mode AOD (as a proxy of DOD) from ground-based Aerosol Robotic Network Sun photometer measurements, and dust vertical distributions/centroid height from Cloud Aerosol Lidar with Orthogonal Polarization and Atmospheric Infrared Sounder satellite AOD retrievals. We examine the following quantities of AOD and DOD: (1) the magnitudes over land and over ocean in our study domain, (2) the longitudinal gradient from the dust source region over North Africa to the western North Atlantic, (3) seasonal variations at different locations, and (4) the dust vertical profile shape and the AOD centroid height (altitude above or below which half of the AOD is located). The different satellite data show consistent features in most of these aspects; however, the models display large diversity in all of them, with significant differences among the models and between models and observations. By examining dust emission, removal, and mass extinction efficiency in the five models, we also find remarkable differences among the models that all contribute to the discrepancies of model-simulated dust amount and distribution. This study highlights the challenges in simulating the dust physical and optical processes, even in the best known dust environment, and stresses the need for observable quantities to constrain the model processes.

[1]  Michael Schulz,et al.  Radiative forcing by aerosols as derived from the AeroCom present-day and pre-industrial simulations , 2006 .

[2]  T. Eck,et al.  Global evaluation of the Collection 5 MODIS dark-target aerosol products over land , 2010 .

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

[4]  David M. Winker,et al.  Global view of aerosol vertical distributions from CALIPSO lidar measurements and GOCART simulations: Regional and seasonal variations , 2010 .

[5]  R. Gautam,et al.  Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010 , 2012 .

[6]  Olga V. Kalashnikova,et al.  Ability of multiangle remote sensing observations to identify and distinguish mineral dust types: 2. Sensitivity over dark water , 2006 .

[7]  M. Schulz,et al.  African dust deposition to Florida: Temporal and spatial variability and comparisons to models , 2010 .

[8]  J. Prospero Long‐term measurements of the transport of African mineral dust to the southeastern United States: Implications for regional air quality , 1999 .

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

[10]  O. Kalashnikova,et al.  Tropical Atlantic dust and smoke aerosol variations related to the Madden‐Julian Oscillation in MODIS and MISR observations , 2013 .

[11]  N. Mahowald,et al.  Long‐term variability in Saharan dust transport and its link to North Atlantic sea surface temperature , 2008 .

[12]  N. Mahowald,et al.  Ocean temperature forcing by aerosols across the Atlantic tropical cyclone development region , 2008 .

[13]  Kyu-Myong Kim,et al.  Influence of aerosol-radiative forcings on the diurnal and seasonal cycles of rainfall over West Africa and Eastern Atlantic Ocean using GCM simulations , 2010 .

[14]  David G. Streets,et al.  Light absorption by pollution, dust, and biomass burning aerosols: a global model study and evaluation with AERONET measurements , 2009 .

[15]  Alexander Smirnov,et al.  Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network , 2010 .

[16]  Michael Schulz,et al.  Global dust model intercomparison in AeroCom phase I , 2011 .

[17]  C. Zender,et al.  Mineral Dust Entrainment and Deposition (DEAD) model: Description and 1990s dust climatology , 2003 .

[18]  Sally A. McFarlane,et al.  The spatial distribution of mineral dust and its shortwave radiative forcing over North Africa: modeling sensitivities to dust emissions and aerosol size treatments , 2010 .

[19]  B. Anderson,et al.  Online simulations of mineral dust aerosol distributions: Comparisons to NAMMA observations and sensitivity to dust emission parameterization , 2010 .

[20]  D. Winker,et al.  The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm , 2009 .

[21]  Axel Lauer,et al.  © Author(s) 2006. This work is licensed under a Creative Commons License. Atmospheric Chemistry and Physics Analysis and quantification of the diversities of aerosol life cycles , 2022 .

[22]  C. Heald,et al.  North African dust export and deposition: A satellite and model perspective , 2012 .

[23]  N. Mahowald,et al.  The size distribution of desert dust aerosols and its impact on the Earth system , 2014 .

[24]  T. Diehl,et al.  Reanalysis of tropospheric sulphate aerosol and ozone for the period 1980-2005 using the aerosol-chemistry-climate model ECHAM5-HAMMOZ , 2011 .

[25]  Brent N. Holben,et al.  Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS , 2012 .

[26]  L. Ruby Leung,et al.  Radiative impact of mineral dust on monsoon precipitation variability over West Africa , 2010 .

[27]  P. Formenti,et al.  Radiative properties and direct radiative effect of Saharan dust measured by the C-130 aircraft during SHADE: 1. Solar spectrum , 2003 .

[28]  M. Chin,et al.  Variability of marine aerosol fine‐mode fraction and estimates of anthropogenic aerosol component over cloud‐free oceans from the Moderate Resolution Imaging Spectroradiometer (MODIS) , 2009 .

[29]  D. Winker,et al.  A height resolved global view of dust aerosols from the first year CALIPSO lidar measurements , 2008 .

[30]  J. Wilson,et al.  M7: An efficient size‐resolved aerosol microphysics module for large‐scale aerosol transport models , 2004 .

[31]  M. Schultz,et al.  Trace gas and aerosol interactions in the fully coupled model of aerosol-chemistry-climate ECHAM5-HAMMOZ: 2. Impact of heterogeneous chemistry on the global aerosol distributions , 2008 .

[32]  N. Mahowald,et al.  Global Iron Connections Between Desert Dust, Ocean Biogeochemistry, and Climate , 2005, Science.

[33]  Teruyuki Nakajima,et al.  Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and sun photometer measurements , 2002 .

[34]  O. Dubovik,et al.  Modelling soil dust aerosol in the Bodélé depression during the BoDEx campaign , 2006 .

[35]  Joseph M. Prospero,et al.  Global connections between aeolian dust, climate and ocean biogeochemistry at the present day and at the last glacial maximum , 2010 .

[36]  P. Seifert,et al.  Profiling of fine and coarse particle mass: case studies of Saharan dust and Eyjafjallajökull/Grimsvötn volcanic plumes , 2012 .

[37]  Ralph A. Kahn,et al.  Detecting Thin Cirrus in Multiangle Imaging Spectroradiometer Aerosol Retrievals , 2010 .

[38]  Zhaoyan Liu,et al.  Asian dust transported one full circuit around the globe , 2009 .

[39]  D. Stephenson,et al.  GCM simulation of the Southern Oscillation from 1979–88 , 1995 .

[40]  Mian Chin,et al.  Long-term simulation of global dust distribution with the GOCART model: correlation with North Atlantic Oscillation , 2004, Environ. Model. Softw..

[41]  O. Boucher,et al.  Aerosol forcing in the Climate Model Intercomparison Project (CMIP5) simulations by HadGEM2‐ES and the role of ammonium nitrate , 2011 .

[42]  S. Emori,et al.  Simulation of climate response to aerosol direct and indirect effects with aerosol transport‐radiation model , 2005 .

[43]  Ellsworth J. Welton,et al.  Evaluating nighttime CALIOP 0.532 μm aerosol optical depth and extinction coefficient retrievals , 2012 .

[44]  Tianle Yuan,et al.  Aerosols from Overseas Rival Domestic Emissions over North America , 2012, Science.

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

[46]  Didier Tanré,et al.  Saharan dust infrared optical depth and altitude retrieved from AIRS: a focus over North Atlantic – comparison to MODIS and CALIPSO , 2009 .

[47]  S. Bauer,et al.  Do sulfate and nitrate coatings on mineral dust have important effects on radiative properties and climate modeling , 2007 .

[48]  W. Collins,et al.  Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results , 2012 .

[49]  M. Chin,et al.  Sources and distributions of dust aerosols simulated with the GOCART model , 2001 .

[50]  J. Prospero,et al.  African dust outbreaks: A satellite perspective of temporal and spatial variability over the tropical Atlantic Ocean , 2010 .

[51]  T. Carlson,et al.  The Large-Scale Movement of Saharan Air Outbreaks over the Northern Equatorial Atlantic , 1972 .

[52]  Michael D. King,et al.  Deep Blue Retrievals of Asian Aerosol Properties During ACE-Asia , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[53]  S. Bauer,et al.  Impact of heterogeneous sulfate formation at mineral dust surfaces on aerosol loads and radiative forcing in the Goddard Institute for Space Studies general circulation model , 2005 .

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

[55]  Soon-Chang Yoon,et al.  Dust cycle: An emerging core theme in Earth system science , 2011 .

[56]  N. Mahowald Anthropocene changes in desert area: Sensitivity to climate model predictions , 2007 .

[57]  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 .

[58]  N. Mahowald,et al.  Atmospheric global dust cycle and iron inputs to the ocean , 2005 .

[59]  Jeffrey S. Reid,et al.  Mineral dust aerosol size distribution change during atmospheric transport , 2003 .

[60]  Siyu Chen,et al.  Uncertainty in modeling dust mass balance and radiative forcing from size parameterization , 2013 .

[61]  Lorraine Remer,et al.  MISR Aerosol Product Attributes and Statistical Comparisons With MODIS , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[62]  C. Prigent,et al.  Mineral dust aerosols in the NASA Goddard Institute for Space Sciences ModelE atmospheric general circulation model , 2006 .

[63]  D. Lawrence,et al.  Observed 20th century desert dust variability: Impact on climate and biogeochemistry , 2010 .

[64]  A. Chédin,et al.  Characterisation of dust aerosols in the infrared from IASI and comparison with PARASOL, MODIS, MISR, CALIOP, and AERONET observations , 2012 .

[65]  O. Torres,et al.  ENVIRONMENTAL CHARACTERIZATION OF GLOBAL SOURCES OF ATMOSPHERIC SOIL DUST IDENTIFIED WITH THE NIMBUS 7 TOTAL OZONE MAPPING SPECTROMETER (TOMS) ABSORBING AEROSOL PRODUCT , 2002 .

[66]  Lorraine A. Remer,et al.  Satellite perspective of aerosol intercontinental transport: From qualitative tracking to quantitative characterization , 2013 .

[67]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[68]  W. Collins,et al.  An AeroCom Initial Assessment - Optical Properties in Aerosol Component Modules of Global Models , 2005 .

[69]  Yoram J. Kaufman,et al.  Dust transport and deposition observed from the Terra‐Moderate Resolution Imaging Spectroradiometer (MODIS) spacecraft over the Atlantic Ocean , 2005 .

[70]  Michael D. King,et al.  Aerosol properties over bright-reflecting source regions , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[71]  Joseph M. Prospero,et al.  CALIPSO-Derived Three-Dimensional Structure of Aerosol over the Atlantic Basin and Adjacent Continents , 2012 .

[72]  O. Boucher,et al.  The aerosol-climate model ECHAM5-HAM , 2004 .