Joseph L. Eastman

TL;DR: A new metric is needed to quantify the human disturbance of the Earth's surface-energy budget, and this ‘regional climate change potential’ could offer a new metric for developing a more inclusive climate protocol.

TL;DR: In this article, a combined model of the Regional Atmospheric Modelling System (RAMS) and a plant model, the General Energy and Mass Transfer Model (GEMTM), was used to investigate regional weather conditions in the central grasslands of the USA for three experimental scenarios: d land cover is changed from current to potential vegetation; d radiative forcing was changed from 1 3 CO2 to 2 3 CO 2 ;a nd d biological CO2 partial pressures are doubled.

TL;DR: The authors showed that the seasonal evolution of weather is dependent on the initial soil moisture and landscape specification, and that the surface characteristics such as soil moisture, leaf area index, and landcover type must be treated as dynamically evolving dependent variables, instead of prescribed parameters.

TL;DR: In this paper, a fully coupled atmospheric-biospheric regional climate model, GEMRAMS, was used to evaluate potential effects of land-use/land-cover changes (LULCC) on near-surface atmosphere over a southern South American domain at seasonal time scales.

TL;DR: This article examined regional temperature trends during the period 1979-1997 from the Microwave Sounding Unit (MSU) 2r satellite measurements and compared them with the same trends in depth-averaged tropospheric temperatures derived from the National Center for Environmental Prediction (NCEP) reanalysis, in an attempt to determine whether regional trends exist which are larger than known inhomogeneities in the data.