Abstract The Global Land–Atmosphere Coupling Experiment (GLACE) is a model
intercomparison study focusing on a typically neglected yet critical element of numerical …

A broad scope of crop models with varying demands on data inputs is being used for several
purposes, such as possible adaptation strategies to control climate change impacts on future …

An analysis of observed trends in African annual-average near-surface temperatures over
the lastfive decades reveals drastic increases, particularly over parts of the subtropics and …

Regional climate modeling using regional climate models (RCMs) has matured over the
past decade to enable meaningful utilization in a broad spectrum of applications. In this …

The traditional dynamical downscaling (TDD) method employs continuous integration of
regional climate models (RCM) with the general circulation model (GCM) providing the initial …

The projected climate-change signal in simulations by the Conformal-Cubic Atmospheric
Model (CCAM) over southern Africa is presented, with particular emphasis on the projected …

Fire risk is influenced by a number of factors–including fuels, terrain, land management,
suppression and weather. This study assesses potential changes to one of these factors, fire …

Flood damages are projected to increase with climate change due to intensification of
extreme rainfalls, with water scarcity also projected to increase due to longer periods of …

Soil moisture memory is a key aspect of land–atmosphere interaction and has major
implications for seasonal forecasting. Because of a severe lack of soil moisture observations …

Spatial and temporal variations of atmospheric CO2 concentrations contain information
about surface sources and sinks, which can be quantitatively interpreted through tracer …