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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.

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Nonsphericity of dust‐like tropospheric aerosols: Implications for aerosol remote sensing and climate modeling

TL;DR: In this paper, T-matrix computations of light scattering by polydispersions of randomly oriented nonspherical aerosols and Mie computations for equivalent spheres are compared, and it is shown that even moderate nonsphericity results in substantial errors in the retrieved aerosol optical thickness if satellite reflectance measurements are analyzed using Mie theory.
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GISS-E2.1: Configurations and Climatology.

TL;DR: There have been specific improvements in representations of modes of variability (such as the Madden‐Julian Oscillation and other modes in the Pacific) and significant improvements in the simulation of the climate of the Southern Oceans, including sea ice.
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Global atmospheric black carbon inferred from AERONET

TL;DR: It is found that the amount of BC in current climatologies must be increased by a factor of 2–4 to yield best agreement with AERONET, in the approximation in which BC is externally mixed with other aerosols.
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Long-Term Satellite Record Reveals Likely Recent Aerosol Trend

TL;DR: Analysis of the long-term Global Aerosol Climatology Project data set reveals a likely decrease of the global optical thickness of tropospheric aerosols during the period from 1991 to 2005, which mirrors the concurrent global increase in solar radiation fluxes at Earth's surface.
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Forcings and chaos in interannual to decadal climate change

TL;DR: This paper investigated the roles of climate forcings and chaos (unforced variability) in climate change via ensembles of climate simulations in which they add forcings one by one, concluding that most interannual climate variability in the period 1979-1996 at middle and high latitudes is chaotic.