It is imperative to accurately assess the impacts of climate change at regional scale in order to inform stakeholders to make policy decisions on critical infrastructures, management of natural resources, humanitarian aid, and emergency preparedness. However, Global Climate Models (GCMs) currently provide relatively coarse resolution outputs which preclude their application to accurately assess...

Understanding the variations of streamflow of rivers is an important prerequisite for designing hydraulic structures as well as managing surface water resources in basins. An overview of the impact of climate change on the streamflow in the Hablehroud River, the main river of a semi-arid basin in north-central Iran, is provided. Using the LARS-WG statistical downscaling model, the outputs of Ha...

Statistical downscaling is an effort to link global scale to local scale variable. It uses GCM model which usually used as a prime instrument in learning system of various climate. The purpose of this study is as a SD model by using SVR in order to predict the rainfall in dry season; a case study at Indramayu. Through the model of SD, SVR is created with linear kernel and RBF kernel. The result...

25 Sixteen global general circulation models were used to develop probabilistic projections of 26 temperature (T) and precipitation (P) changes over California by the 2060s. The global models 27 were downscaled with two statistical techniques and three nested dynamical regional climate 28 models, although not all global models were downscaled with all techniques. Both monthly and 29 daily times...

A downscaling method of the microwave surface soil moisture is applied to the PBMR data collected during the Monsoon ’90 experiment. The downscaling method requires (1) the coarse resolution microwave observation (2) the distribution at fine scale of soil temperature and (3) the distribution at fine scale of the surface conditions composed of atmospheric forcing and the parameters involved in t...

The upscaled models of reservoirs result in coarse representation of flow for simulation gridblocks. This representation discards subgrid heterogeneities and flow complexities which can lead to an inaccurate performance prediction for reservoir processes. To tackle the problem, reconstruction techniques such as multiscale or upscaling–downscaling methods have been developed to recapture the sub...

There is a concrete need for climate change information that is relevant for specific sites and sectorial uses by policy-makers and practitioners. It is also clear, that downscaling may be a useful technique for this, not least in areas with marked topographic features. Due to systematic biases in (all) climate models, bias corrections may still be needed. Research on such has increased over th...