Regional climate models (RCMs) in general can simulate the characteristics of heavy/extreme precipitation more accurately than general circulation models (GCMs) as a result of more realistic representation of topography and mesoscale processes. An analogue method of statistical downscaling, which identifies the resolved large-scale atmospheric conditions associated with heavy precipitation, is ...

Simulations of crop yields under climate change are subject to uncertainties whose quantification is important for effective use of projected results for adaptation and mitigation strategies. In the US Pacific Northwest (PNW), studies based on single crop models and weather projections downscaled from a few general circulation models (GCM) have indicated mostly beneficial effects of climate cha...

The detection and attribution of climate change in the observed record play a central role in synthesizing knowledge of the climate system. Unfortunately, the traditional method for detecting and attributing changes due to multiple forcings requires large numbers of general circulation model (GCM) simulations incorporating different initial conditions and forcing scenarios, and these have only ...

Nonpoint source pollution from agriculture is the main source of nitrogen and phosphorus in the stream systems of the Corn Belt region in the Midwestern US. The eastern part of this region is comprised of the Ohio-Tennessee River Basin (OTRB), which is considered a key contributing area for water pollution and the Northern Gulf of Mexico hypoxic zone. A point of crucial importance in this basin...

Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both dynamical (i.e. Regional Climate Model) and statistical methods, have been developed to obtain fine resolution climate change scenarios. In this study, an automated statistical downscaling (ASD) regression-based appro...

The potential impact of climate warming on patterns of malaria transmission has been the subject of keen scientific and policy debate. Standard climate models (GCMs) characterize climate change at relatively coarse spatial and temporal scales. However, malaria parasites and the mosquito vectors respond to diurnal variations in conditions at very local scales. Here we bridge this gap by downscal...

Abstract Surface soil moisture (SSM) is a key factor for water and heat exchanges between land surface the atmosphere. It also important to resources, agriculture, ecosystems. In backdrop of global warming, SSM variations potential causes are not well-known at regional scales. Based on (SM) data from GLDAS-Noah 16 climate models (GCMs) selected 25 GCMs in CMIP5, we analyzed spatial distribution...

Even when forced with mostly identical physical parametrizations, general circulation models (GCMs) of Venus produce significant dispersion in the simulated zonal wind fields and meridional circulations. Horizontal resolution, lower boundary layer parametrization and initial state are among the most sensitive aspects, and consistent trends are not obtained between models (or even by the same mo...