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Project involves analyzing datasets using two measures: Spatial similarity of the distributed precipitation and temperature fields of the study datasets Implications on hydrologic modeling We will then provide guidance on the choice of datasets for statistical downscaling of GCM outputs used in different types of scale-dependent planning assessments. We will evaluate these differences from a hydrological standpoint at specific Reclamation basins: Animas at Durango, Colorado; Snake at Heise, Idaho; Sacramento at Redding, California; Salt at Chrysotile, Arizona; Yellowstone River at Billings, Montana; and Colorado River at Lees Ferry Utah and Arizona. The analysis will indicate whether the choice of forcing a...
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/2015GL063208/abstract): Climate impact studies often require the selection of a small number of climate scenarios. Ideally, a subset would have simulations that both (1) appropriately represent the range of possible futures for the variable/s most important to the impact under investigation and (2) come from global climate models (GCMs) that provide plausible results for future climate in the region of interest. We demonstrate an approach to select a subset of GCMs that incorporates both concepts and provides insights into the range of climate impacts. To represent how an ecosystem process responds to projected future changes, we methodically sample, using...
Abstract (from http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-14-00196.1): In this study (Part I), the mid-twenty-first-century surface air temperature increase in the entire CMIP5 ensemble is downscaled to very high resolution (2 km) over the Los Angeles region, using a new hybrid dynamical–statistical technique. This technique combines the ability of dynamical downscaling to capture finescale dynamics with the computational savings of a statistical model to downscale multiple GCMs. First, dynamical downscaling is applied to five GCMs. Guided by an understanding of the underlying local dynamics, a simple statistical model is built relating the GCM input and the dynamically downscaled output. This statistical...
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Climate change has emerged as a key environmental concern of the 21st century and a major challenge for land and wildlife managers. Although scientists have made tremendous progress in predicting the impact of climate change on a regional and global scale, drilling down such projections to a locally applicable form has been difficult. A major project of the US Geological Survey's (USGS) Southwest Biological Science Center (SBSC), funded by the USGS National Climate Change and Wildlife Science Center (NCCWSC), drew on the work of an interdisciplinary team of scientists to help close the gap between theory and practical application in the arid southwestern U.S. Climate change in this region is predicted to be extreme,...
    map background search result map search result map Understanding How Different Versions of Distributed Historical Weather Data Affect Hydrologic Model Calibration and Climate Projections Downscaling - BOR Project, FY2011 Forecasting Climate Impacts on Wildlife of the Arid Southwest at Regional and Local Scales Using Downscaled Climate Models Understanding How Different Versions of Distributed Historical Weather Data Affect Hydrologic Model Calibration and Climate Projections Downscaling - BOR Project, FY2011 Forecasting Climate Impacts on Wildlife of the Arid Southwest at Regional and Local Scales Using Downscaled Climate Models