A
Andrew A. Lacis
Researcher at Goddard Institute for Space Studies
Publications - 166
Citations - 29249
Andrew A. Lacis is an academic researcher from Goddard Institute for Space Studies. The author has contributed to research in topics: Climate model & Climate change. The author has an hindex of 73, co-authored 161 publications receiving 27563 citations. Previous affiliations of Andrew A. Lacis include Goddard Space Flight Center & Computer Sciences Corporation.
Papers
More filters
Journal ArticleDOI
Intercomparison of models representing direct shortwave radiative forcing by sulfate aerosols
Olivier Boucher,Stephen E. Schwartz,Thomas P. Ackerman,T. L. Anderson,B. Bergstrom,B. Bonnel,Petr Chýlek,Arne Dahlback,Arne Dahlback,Y. Fouquart,Qiang Fu,Rangasayi N. Halthore,Jim Haywood,Jim Haywood,Jim Haywood,Trond Iversen,Seiji Kato,Seiji Kato,S. Kinne,S. Kinne,Alf Kirkevåg,Kenneth R. Knapp,Andrew A. Lacis,Istvan Laszlo,Michael I. Mishchenko,Seth Nemesure,Venkatachalam Ramaswamy,David L. Roberts,P. B. Russell,Michael E. Schlesinger,Graeme L. Stephens,Richard Wagener,M. Wang,J. G. D. Wong,Fanglin Yang +34 more
TL;DR: In this article, the authors report results of a project involving 12 groups using 15 models to examine radiative forcing by sulfate aerosol for a wide range of values of particle radius, aerosol optical depth, surface albedo, and solar zenith angle.
Journal ArticleDOI
On the variability of the net longwave radiation at the ocean surface
TL;DR: In this article, the authors present an evaluation of the most widely used BF, in terms of the assumptions made in each, the climatic conditions on which each is based, and on the results of each compared with results computed from the full radiative transfer equation (RTE) with zonally averaged atmospheric data.
Multiple Scattering of Light by Particles
TL;DR: The book traces the fundamental link between the RTT and the effect of coherent backscattering (CB) and explains their place in the context of a comprehensive hierarchy of electromagnetic scattering problems.
Journal ArticleDOI
How well do satellite AOD observations represent the spatial and temporal variability of PM2.5 concentration for the United States
TL;DR: In this paper, a comparison of the large-scale spatial and temporal variability between satellite AOD and PM2.5 using monthly mean measurements was performed using spectral analysis technique e Combined Maximum Covariance Analysis (CMCA).
Journal ArticleDOI
Global, seasonal cloud variations from satellite radiance measurements. I: Sensitivity of analysis
TL;DR: In this article, the authors used radiative transfer models that simulate the SR measurements using explicit parameters representing the properties of the surface, atmosphere, and clouds, and the accuracy of all the results depends primarily on the proper separation of the total radiance distribution into those parts representing clear and cloudy scenes.