Statistically downscaled precipitation sensitivity to gridded observation data and downscaling technique

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

Final Report: Characterizing Uncertainties in Climate Projections to Support Regional Decision-Making

In recent years, climate projections have been used to research the climate system as well as provide guidance for climate adaptation decisions and impact assessments. There are numerous methods to produce the locally relevant climate projections for use in impact assessments. Since there are no standard methods to derive locally relevant projections, one must consider multiple approaches. In order to provide additional clarity regarding the use of available climate projections, this project assessed how the inputs that define the projections (e.g., historical climate data, downscaling method, etc.) contribute to the variability among different climate projections for temperature and precipitation variables. This...

Categories: Publication; Types: Citation; Tags: South Central CASC