Andrew A. Lacis

TL;DR: The authors showed that uncertainties in climate forcings have supplanted global climate sensitivity as the predominant issue for long-term climate projections, and that the natural forcing due to solar irradiance changes may play a larger role in longterm climate change than inferred from comparison with GHGs alone.

TL;DR: In this article, the results of a comparison using combined principal component analysis (CPCA) applied to monthly mean, mapped (Level 3) aerosol optical depth (AOD) product from MODIS, Multiangle Imaging Spectroradiometer (MISR), and Ozone Monitoring Instrument (OMI) were presented.

TL;DR: In this paper, a spectral decomposition technique based on principal component analysis (PCA) and maximum covariance analysis (MCA) is used to compare four satellite data sets and ground-based observations of aerosol optical depth (AOD).

TL;DR: Issues addressed are the use of scattering calculations on a sparse spectral grid and consequent accuracy and speed tradeoffs, methods for minimizing the required number of quadrature points in multiple-scattering calculations, effects of the vertical profiles of aerosols and absorbing gases on atmospheric correction, and efficient approaches for including the effects of sensor variability (or imperfections) on atmospheric Correction.

TL;DR: The nominal Global Aerosol Climatology Project (GACP) record of aerosol optical thickness (AOT) and Angstrom exponent (AE) over the oceans is extended by 6 months to cover the period from August 1981 through December 2005 as mentioned in this paper.