Ron L. Miller

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 article, the results of a broad intercomparison of a total of 15 global aerosol models within the AeroCom project are compared to observations related to desert dust aerosols, their direct radiative effect, and their impact on the biogeochemical cycle, i.e., aerosol optical depth and dust deposition.

TL;DR: In this paper, the authors evaluate black carbon (BC) model predictions from the AeroCom model intercomparison project by considering the diversity among year 2000 model simulations and comparing model predictions with available measurements.

TL;DR: The authors used several different climate-model versions to demonstrate that the observed sea-level-pressure trends, including their magnitude, can be simulated by realistic increases in greenhouse-gas concentrations, while changes in ozone concentrations are not necessary to simulate the observed climate trends.