Monitoring of aerosol forcing of climate from space: analysis of measurement requirements

By M. I. Mishchenko, Brian Cairns, J. Hansen, Larry Travis, R. Burg, Yoram J. Kaufman, J. Martins, E. Shettle. Journal of Quantitative Spectroscopy and Radiative Transfer, 2004

247 citations recorded by the source corpus.

We discuss the rationale for long-term monitoring of the global distribution of natural and anthropogenic aerosols (black carbon, sulfates, mineral aerosols, etc.) and clouds with specificity, accuracy, and coverage sufficient for a reliable quantification of the direct and indirect aerosol effects on climate, the anthropogenic component of these effects, and the long-term change of these effects caused by natural and anthropogenic factors. This discussion is followed by the formulation of specific scientific objectives of the Aerosol Polarimetry Sensor component of the National Aeronautics and Space Administration's Glory Project established within the framework of the US Climate Change Research Initiative.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/ef1c2a6478c1c4b4e6ae2c5f524afa9b83ca2eee

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Citations in the corpus

Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust (2006, methodology): “Therefore light scattering by spheroids has been used extensively in remote sensing applications [e.g., see Mishchenko et al., 2004b].”
Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation (2018, background): “ncertainties in the climate change assessment [3] .”
Polarimetric remote sensing of aerosols over land (2009, unknown): “These results demonstrate that even in pristine environments aerosol retrievals with the required accuracy [Mishchenko et al., 2004] are possible using only polarized radiance observations provided a broad spectral range of measurements is available.”
Efficacy of climate forcings (2005, methodology): “[78] Knowledge of imposed cloud changes could be advanced via precise composition-specific global monitoring of aerosols and cloud microphysical properties [Mishchenko et al., 2004] supplemented by appropriate field campaigns, cloud modeling, and laboratory studies [Lohmann and Feichter, 2005].”
Aerosol light absorption and its measurement: A review (2009, background): “This fairly dismal state of satellite aerosol light absorption retrieval should improve in 2009 with the launch of the aerosol polarimetry sensor (APS) on board of the Glory satellite [292,395].”
VLIDORT: A linearized pseudo-spherical vector discrete ordinate radiative transfer code for forward model and retrieval studies in multilayer multiple scattering media (2006, methodology): “It has also been demonstrated that the use of passive sensing instruments with polarization capabilities can greatly enhance retrievals of aerosol information in the atmosphere [41,42]; this is becoming a very important issue as the scientific community tries to understand the effects of aerosol for”
Effects of aggregation on scattering and radiative properties of soot aerosols (2005, methodology): “The code has been thoroughly tested, gives very accurate results within the domain of numerical convergence, and has been extensively used in various applied science disciplines [Mishchenko et al., 2004b].”
Enhancement of aerosol characterization using synergy of lidar and sun - photometer coincident observations: the GARRLiC algorithm (2013, background): “It should be noted that a number of studies (Mishchenko et al., 2000, 2004; Dubovik et al., 2006) indicate high sensitivity of polarimetric passive measurements to the refractive index of the fine mode.”
Models for surface reflection of radiance and polarized radiance: Comparison with airborne multi-angle photopolarimetric measurements and implications for modeling top-of-atmosphere measurements (2011, methodology): “However, the extended spectral range of APS, ranging to the short-wave infraredwhere the aerosol signal is small, is expected to provide enough information to accurately determine these parameters.”
Aerosol properties over the ocean from PARASOL multiangle photopolarimetric measurements (2011, methodology): “The swath width of PARASOL is 2400 km. In March 2011 the launch of the Glory satellite unfortunately failed with the Aerosol Polarimetry Sensor (APS) on board [ Mishchenko et al., 2007, 2004 ].”
Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations (2010, methodology): “…results of actual PARASOL data inversion suggest that the processing the PARASOL with developed algorithm can provide global products of total aerosol optical thickness and single scattering albedo rather consistent with the accuracy requirements formulated by Mishchenko et al. (2004, 2007).”