1Atmospheric and Oceanic Sciences Program, Princeton University,
Princeton, New Jersey 08544, USA
2NOAA Geophysical Fluid Dynamics
Laboratory, Princeton, New Jersey 08540, USA
anow at: Environmental
Defense Fund, New York 10010, USA
Received: 31 Aug 2016 – Discussion started: 17 Oct 2016
Abstract. Anthropogenic aerosols are a key factor governing Earth's climate and play a central role in human-caused climate change. However, because of aerosols' complex physical, optical, and dynamical properties, aerosols are one of the most uncertain aspects of climate modeling. Fortunately, aerosol measurement networks over the past few decades have led to the establishment of long-term observations for numerous locations worldwide. Further, the availability of datasets from several different measurement techniques (such as ground-based and satellite instruments) can help scientists increasingly improve modeling efforts. This study explores the value of evaluating several model-simulated aerosol properties with data from spatially collocated instruments. We compare aerosol optical depth (AOD; total, scattering, and absorption), single-scattering albedo (SSA), Ångström exponent (α), and extinction vertical profiles in two prominent global climate models (Geophysical Fluid Dynamics Laboratory, GFDL, CM2.1 and CM3) to seasonal observations from collocated instruments (AErosol RObotic NETwork, AERONET, and Cloud–Aerosol Lidar with Orthogonal Polarization, CALIOP) at seven polluted and biomass burning regions worldwide. We find that a multi-parameter evaluation provides key insights on model biases, data from collocated instruments can reveal underlying aerosol-governing physics, column properties wash out important vertical distinctions, and
Revised: 13 Feb 2017 – Accepted: 03 Mar 2017 – Published: 03 Apr 2017
improved models does not mean all aspects are improved. We conclude that it is important to make use of all available data (parameters and instruments) when evaluating aerosol properties derived by models.
Ocko, I. B. and Ginoux, P. A.: Comparing multiple model-derived aerosol optical properties to spatially collocated ground-based and satellite measurements, Atmos. Chem. Phys., 17, 4451-4475, doi:10.5194/acp-17-4451-2017, 2017.