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Adrienne Wootten

Future climate projections illuminate our understanding of the climate system and generate data products often used in climate impact assessments. Statistical downscaling (SD) is commonly used to address biases in global climate models (GCM) and to translate large‐scale projected changes to the higher spatial resolutions desired for regional and local scale studies. However, downscaled climate projections are sensitive to method configuration and input data source choices made during the downscaling process that can affect a projection's ultimate suitability for particular impact assessments. Quantifying how changes in inputs or parameters affect SD‐generated projections of precipitation is critical for improving...
Categories: Publication; Types: Citation
The Rio Grande is a vital water source for the southwestern States of Colorado, New Mexico, and Texas and for northern Mexico. The river serves as the primary source of water for irrigation in the region, has many environmental and recreational uses, and is used by more than 13 million people including those in the Cities of Albuquerque and Las Cruces, New Mexico; El Paso, Texas; and Ciudad Juárez, Chihuahua, Mexico. However, concern is growing over the increasing gap between water supply and demand in the Upper Rio Grande Basin. As populations increase and agricultural crop patterns change, demands for water are increasing, at the same time the region is undergoing a decrease in supply due to drought and climate...
Categories: Publication; Types: Citation
Global climate models (GCMs) are a tool used to model historical climate and project future conditions. In order to apply these global-scale datasets to answer local- and regional-scale climate questions, GCMs undergo a process known as “downscaling”. Since there are many different approaches to downscaling there associated sources of uncertainty; however, downscaled data can be highly valuable for management decision-making if used with a knowledge of its limitations and appropriate applications. In order to use downscaled data appropriately, scientists and managers need to understand how the climate projections made by various downscaling methods are affected by uncertainties in the climate system (such as greenhouse...
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