abstract development and evaluation of mitigation strategies are very crucial to manage climate change risk. research objectives of this study were (1) to quantify the response of maize grain yield to potential impacts of climate change and (2) to investigate the effectiveness of changing sowing date of maize as a mitigation option for khorasan province which is located in northeast of iran. tw...

Regional climate models are useful tools for regional climate research. They are especially helpful for studying the effects of topography, coastlines, and other complex landsurface properties on regional climate and for simulating these effects realistically. Although regional climate modeling started more than ten years ago, improvements in model physics and performance have been slow. There ...

North Atlantic sea ice anomalies are thought to play an important role in the abrupt Dansgaard–Oeschger (D–O) cycles of the last glacial period. This model study investigates the impacts of changes in North Atlantic sea ice extent in glacial climates to help provide geographical constraints on their involvement in D–O cycles. Based on a coupled climate model simulation of the Last Glacial Maxim...

This paper aims at evaluating the impacts of climate change on land use patterns in Brazil. To this purpose, we specify and estimate an econometric land use model to assess how climate variables affect land allocation decisions according to three types of use: cropland, pasture and forestland. Based on the econometric model estimates, we then simulate how farmers will adapt their land use choic...

Global climate model simulations are influenced by the explicit or parameterized physical processes that they include. Most climate models have some representation of sea ice in the polar regions, which contributes to ice-albedo feedback and a dramatic increase in climate change in the polar regions. Some sea ice components of coupled climate models have been improved in recent years to include...

Daily precipitation data from worldwide stations and gridded analyses and from 18 coupled global climate models are used to evaluate the models’ performance in simulating the precipitation frequency, intensity, and the number of rainy days contributing to most (i.e., 67%) of the annual precipitation total. Although the models examined here are able to simulate the land precipitation amount well...

The goal of our work is to develop and evaluate a prognostic The aqueous reaction to convert SO to in clouds is aerosol model and to parameterize the effects of aerosols, actassumed to have an average e-folding lifetime of 30 hours at ing as cloud condensation nuclei (CCN), on initial cloud drop40° N at the surface in summer. This e-folding lifetime is let concentrations. This, together with gl...

Human populations are profoundly affected by water stress, or the lack of sufficient per capita available freshwater. Water stress can result from overuse of available freshwater resources or from a reduction in the amount of available water due to decreases in rainfall and stored water supplies. Analyzing the interrelationship between human populations and water availability is complicated by ...

The intertropical convergence zone (ITCZ) has been the focus of considerable research in recent years, with much of this work concerned with how the latitude of maximum tropical precipitation responds to natural climate variability and to radiative forcing. The width of the ITCZ, however, has received little attention despite its importance for regional climate and for understanding the general...

The Lorenz-63 model has been frequently used to inform our understanding of the Earth's climate and provide insight for numerical weather and climate prediction. Most studies have focused on the autonomous (time invariant) model behaviour in which the model's parameters are constants. Here, we investigate the properties of the model under time-varying parameters, providing a closer parallel to ...