Articles | Volume 17, issue 7
Atmos. Chem. Phys., 17, 4451–4475, 2017
https://doi.org/10.5194/acp-17-4451-2017
Atmos. Chem. Phys., 17, 4451–4475, 2017
https://doi.org/10.5194/acp-17-4451-2017

Research article 03 Apr 2017

Research article | 03 Apr 2017

Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements

Ilissa B. Ocko and Paul A. Ginoux

Data sets

Aerosol Robotic Network, Version 2 Direct Sun Algorithm NASA, Goddard Space Flight Center https://aeronet.gsfc.nasa.gov/cgi-bin/webtool_opera_v2_new

Cloud-Aerosol LIdar with Orthogonal Polarization, CAL_LID_L3_APro_AllSky-Standard-V3-00 NASA, Atmospheric Science Data Center https://eosweb.larc.nasa.gov/project/calipso/cal_lid_l3_apro_allsky-standard-v3-00

MISR, MIL3MAE NASA, Atmospheric Science Data Center https://eosweb.larc.nasa.gov/project/misr/mil3mae_table

MODIS Atmosphere L3 Monthly Product S. Platnick et al. https://doi.org/10.5067/MODIS/MOD08_M3.006

GFDL Data Portal NOAA, Geophysical Fluid Dynamics Laboratory http://data1.gfdl.noaa.gov/

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Short summary
Human-made liquid and solid particles (aerosols) are abundant in the atmosphere and play a central role in climate change. Computer models are essential tools for understanding how aerosols impact the climate, but it is critical to evaluate a model's performance by comparing with observations. Here we analyze aerosol properties in two world-renowned models by comparing with ground-based and satellite instrument data. We find that comparisons with all available data is valuable and essential.
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