Brian Cairns

TL;DR: The authors used a global climate model to compare the effectiveness of many climate forcing agents for producing climate change and found that replacing traditional instantaneous and adjusted forcings with an easily computed alternative, Fs, yields a better predictor of climate change, i.e., its efficacies are closer to unity.

TL;DR: The ModelE version of the GISS atmospheric general circulation model (GCM) and results for present-day climate simulations (ca. 1979) were presented in this article, where the model top is now above the stratopause, the number of vertical layers has increased, a new cloud microphysical scheme is used, vegetation biophysics now incorporates a sensitivity to humidity, atmospheric turbulence is calculated over the whole column, and new land snow and lake schemes are introduced.

TL;DR: In this paper, the authors investigate the issue of "dangerous human-made interference with climate" using simulations with GISS modelE driven by measured or estimated forcings for 1880-2003 and extended to 2100 for IPCC greenhouse gas scenarios as well as the "alternative" scenario of Hansen and Sato (2004).

TL;DR: The NASA Glory mission as discussed by the authors is intended to facilitate and improve upon long-term monitoring of two key forcings influencing global climate by flying two state-of-the-art science instruments on an Earth-orbiting platform.

TL;DR: It is shown that two-channel algorithms can be expected to provide significantly more accurate and less biased retrievals of the aerosol optical thickness than one- channel algorithms and that imperfect cloud screening and calibration uncertainties are by far the largest sources of errors in the retrieved aerosol parameters.