Since 1995, the Intergovernmental Panel on Climate Change (IPCC) assessment reports have highlighted, as leading uncertainties in understanding Earth's climate, the direct impact of airborne particles on the planetary energy balance and the indirect effects they have on clouds, atmospheric stability, regional circulation, and the hydrologic cycle. For example, the confidence with which future climate can be predicted depends to first order on the relationship between the near-surface warming response and the radiative forcing, primarily by greenhouse gases and aerosol effects. This relationship is characterized, in its simplest form, as a linear factor-the climate sensitivity. The quantity is determined using presentday and retrospective values of forcing and response; AFFILIATIONS: Kahn and hansiCo-Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland; BeRKoff, Chen, and feRRaRe-NASA Langley Research Center, Hampton, Virginia; BRoCK and muRphy-Chemical Sciences Division, NOAA/Earth System Research Laboratory, Boulder, Colorado; Ghan-Department of Energy, Pacific Northwest National Laboratory, Richland, Washington; heGG-Department of Atmospheric Sciences, University of Washington, Seattle, Washington; maRTins-Department of Physics, and Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, Maryland; mCnauGh-
2215OCTOBER 2017 AMERICAN METEOROLOGICAL SOCIETY | currently, the largest uncertainty in climate sensitivity is due to uncertainty in the aerosol forcing (IPCC 2013;Schwartz et al. 2014;Forster 2016).Further, the presence of aerosols often necessitates large corrections to other space-based measurements of independent parameters, such as ocean color and productivity (e.g., Gordon 1997), and they cause greater premature mortality than ozone, NO x , or other pollutants (Lelieveld et al. 2015). Frequent, global aerosol airmass-type mapping, of value itself for air quality, material transport, and other applications, also represents critical test, validation, and constraint data for climate modeling. Here, we expand the definition of "aerosol type" normally used in satellite remote sensing, which covers those categorical distinctions among particle components and mixtures that can be made from optical constraints, of varying sensitivity, to particle size, shape, and spectral absorption. To these we add particle hygroscopicity, mass, and composition, which are critical for treating aerosol direct and indirect forcing in climate models and for air quality applications. These additional characteristics cannot be derived from remote sensing alone and thus require in situ measurement. Further, measurements of these quantities make it possible to better represent aerosol light-absorption properties needed to address many radiative and dynamical questions, yet cannot be retrieved with sufficient accuracy from satellite observations alone.Single-view satellite instruments, such as the NASA EOS Moderate Resolution Imaging Spectroradiometer (MODIS) and the ...