Assessing the Added Value of Dynamical Downscaling Using the Standardized Precipitation Index. (14th January 2016)

• Record Type: Journal Article
• Authors: Bowden, Jared H.; Talgo, Kevin D.; Spero, Tanya L.; Nolte, Christopher G.
• Other Names: García-Ortega Eduardo Academic Editor.
• Is Part Of: Advances in meteorology. Volume 2016(2016)
• Publication Date: 2016-01-14
• Subjects: Meteorology -- Periodicals; Meteorology; Periodicals; 551.505
• DOI: 10.1155/2016/8432064
• Languages: English
• ISSNs: 1687-9309

Abstract

Abstract : In this study, the Standardized Precipitation Index (SPI) is used to ascertain the added value of dynamical downscaling over the contiguous United States. WRF is used as a regional climate model (RCM) to dynamically downscale reanalysis fields to compare values of SPI over drought timescales that have implications for agriculture and water resources planning. The regional climate generated by WRF has the largest improvement over reanalysis for SPI correlation with observations as the drought timescale increases. This suggests that dynamically downscaled fields may be more reliable than larger-scale fields for water resource applications (e.g., water storage within reservoirs). WRF improves the timing and intensity of moderate to extreme wet and dry periods, even in regions with homogenous terrain. This study also examines changes in SPI from the extreme drought of 1988 and three "drought busting" tropical storms. Each of those events illustrates the importance of using downscaling to resolve the spatial extent of droughts. The analysis of the "drought busting" tropical storms demonstrates that while the impact of these storms on ending prolonged droughts is improved by the RCM relative to the reanalysis, it remains underestimated. These results illustrate the importance and some limitations of using RCMs to project drought.