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A global comparison of GEOS‐Chem‐predicted and remotely‐sensed mineral dust aerosol optical depth and extinction profiles
by
Meskhidze, Nicholas
, Johnson, Matthew S.
, Praju Kiliyanpilakkil, Velayudhan
in
Aerosol extinction
/ Aerosol optical depth
/ Aerosols
/ Agreements
/ Atmosphere
/ Atmospheric particulates
/ Bias
/ Biogeochemistry
/ Chemical transport
/ Climate change
/ Dust
/ Dust storms
/ Emissions
/ General circulation models
/ global dust modeling
/ Imaging techniques
/ Lidar
/ Optical analysis
/ Optical properties
/ passive and active satellites
/ Profiles
/ Regions
/ Remote sensing
/ Saharan dust
/ Satellite observation
/ Satellites
/ Size distribution
/ Spectroradiometers
/ Vertical distribution
/ Wind
2012
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A global comparison of GEOS‐Chem‐predicted and remotely‐sensed mineral dust aerosol optical depth and extinction profiles
by
Meskhidze, Nicholas
, Johnson, Matthew S.
, Praju Kiliyanpilakkil, Velayudhan
in
Aerosol extinction
/ Aerosol optical depth
/ Aerosols
/ Agreements
/ Atmosphere
/ Atmospheric particulates
/ Bias
/ Biogeochemistry
/ Chemical transport
/ Climate change
/ Dust
/ Dust storms
/ Emissions
/ General circulation models
/ global dust modeling
/ Imaging techniques
/ Lidar
/ Optical analysis
/ Optical properties
/ passive and active satellites
/ Profiles
/ Regions
/ Remote sensing
/ Saharan dust
/ Satellite observation
/ Satellites
/ Size distribution
/ Spectroradiometers
/ Vertical distribution
/ Wind
2012
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A global comparison of GEOS‐Chem‐predicted and remotely‐sensed mineral dust aerosol optical depth and extinction profiles
by
Meskhidze, Nicholas
, Johnson, Matthew S.
, Praju Kiliyanpilakkil, Velayudhan
in
Aerosol extinction
/ Aerosol optical depth
/ Aerosols
/ Agreements
/ Atmosphere
/ Atmospheric particulates
/ Bias
/ Biogeochemistry
/ Chemical transport
/ Climate change
/ Dust
/ Dust storms
/ Emissions
/ General circulation models
/ global dust modeling
/ Imaging techniques
/ Lidar
/ Optical analysis
/ Optical properties
/ passive and active satellites
/ Profiles
/ Regions
/ Remote sensing
/ Saharan dust
/ Satellite observation
/ Satellites
/ Size distribution
/ Spectroradiometers
/ Vertical distribution
/ Wind
2012
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A global comparison of GEOS‐Chem‐predicted and remotely‐sensed mineral dust aerosol optical depth and extinction profiles
Journal Article
A global comparison of GEOS‐Chem‐predicted and remotely‐sensed mineral dust aerosol optical depth and extinction profiles
2012
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Overview
Dust aerosol optical depth (AOD) and vertical distribution of aerosol extinction predicted by a global chemical transport model (GEOS‐Chem) are compared to space‐borne data from the Moderate‐resolution Imaging Spectroradiometer (MODIS), Multi‐Angle Imaging SpectroRadiometer (MISR), and Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) for March 2009 to February 2010. Model‐predicted and remotely‐sensed AOD/aerosol extinction profiles are compared over six regions where aerosol abundances are dominated by mineral dust. Calculations indicate that over the regions examined in this study (with the exception of Middle Eastern dust sources) GEOS‐Chem predicts higher AOD values compared to MODIS and MISR. The positive bias is particularly pronounced over the Saharan dust source regions, where model‐predicted AOD values are a factor of 2 to 3 higher. The comparison with CALIPSO‐derived dust aerosol extinction profiles revealed that the model overestimations of dust abundances over the study regions primarily occur below ∼4 km, suggesting excessive emissions of mineral dust and/or uncertainties in dust optical properties. The implementation of a new dust size distribution scheme into GEOS‐Chem reduced the yearly‐mean positive bias in model‐predicted AOD values over the study regions. The results were most noticeable over the Saharan dust source regions where the differences between model‐predicted and MODIS/MISR retrieved AOD values were reduced from 0.22 and 0.17 to 0.02 and −0.04, respectively. Our results suggest that positive/negative biases between satellite and model‐predicted aerosol extinction values at different altitudes can sometimes even out, giving a false impression for the agreement between remotely‐sensed and model‐predicted column‐integrated AOD data. Key Points Modeled dust AOD and extinction profiles are compared to remotely‐sensed data Baseline model captures horizontal and vertical distribution of mineral dust New dust mass size distribution improves simulated magnitudes of dust AODs
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