The effect of climate change on societies, economies and eco-environment is an area of common concern among the international community. In order to positively respond to the challenges to human survival posed by climate change, scholars and government departments have begun researching attributes, effects and models of global climate change (
Crowley, 2000;
IPCC, 2013;
Sun et al., 2010). Although the IPCC Fifth Assessment Report stated that important improvements had already been made in many aspects of climate model simulations of temperature and precipitation since the previous assessment report in 2007 (
IPCC, 2013), the complexity and diversity of regional environments and atmospheric pressure systems mean that inevitable difficulties and drawbacks exist when it comes to study climate change on a global scale, and it is hard to give accurate descriptions and predictions of the hydrological processes of a region or a river basin using models of global atmosphere and water cycles. There are significant differences in the results of global climate models that attempt to simulate regional atmospheric changes (
Jiang et al., 2010;
Zhang et al., 2011), and simulation results are not fully applicable to the study of regional climate change. When using global models to analyze regional climate change they need to be adjusted for regional climate conditions. Global climate models need to be regionalized or regional climate models established (
Ju et al., 2006;
Li et al., 2009). Moreover, although the theoretical frameworks of atmospheric circulation models are largely similar, there are differences in their boundary settings and spatial resolutions, which often leads to uncertainties in their output results (
IPCC, 2013), making it difficult to use them as basic data for regional and river basin hydrological models. Nor can they sufficiently describe regional climate features and calculated runoff processes (
Boone et al., 2004), not to mention accurately reflect the actual dramatic change in climate factors in runoff areas and dissipation areas of river basins in the arid northwest region (
Fang et al., 2015). Hydrologists and water resource managers are increasingly starting to focus on constructing regional climate models and studies on climate change (
Montes-Hugo et al., 2009;
Roy et al., 2011). The focus is on the effects of climate change on water cycle processes of river basins and regions, in the hope of obtaining relatively accurate hydrological parameters at relatively large scale spatial resolutions. However, because there is almost no river basin- or regional-scale data to directly estimate hydrological parameters, current river basin or regional water cycle models are obtained by adapting hydrological parameters to river basins or regions, or by extrapolating from information on physical attributes for regions with no data. Thus, hydrological simulations for river basins and areas in mountainous parts of the arid northwest region that do not have hydrological station data are a key and prominent scientific challenge in current hydrological studies. Although it is possible to use a modified Delta method to create a climatic reconstruction of meteorological data for high mountainous areas on the basis of the principle of similarity (
Xue et al., 2015), considerable uncertainty regarding runoff simulations still exists. Thus, in order to accurately analyze regional climate change issues, it is necessary to clarify the interactive roles and mechanisms of regional atmospheric pressure systems and their effect on regional climate (
Sanchez et al., 2011;
Mahlstein et al., 2010). As such, it is particularly important to develop and apply research on regional climate models in order to correctly interpret regional climate change processes and future trends, rationally assess regional climate change impacts and accurately formulate strategies for responding to climate change. This is also the future trend in climate model development.