Analysis of daily variability of precipitation in a nested regional climate model: comparison with observations and doubled CO2 results
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2019, Science of the Total EnvironmentCitation Excerpt :Although previous studies reported significant changes, several studies are lacked the spatiotemporal evolutions to investigate precipitation concentration and intensity, which usually vary only a few days. Further research was performed on the categories of precipitation intensity (Mearns et al., 1995; Wu, 2015). Earlier researches mostly concentrated on the varying behaviors of precipitation concentration, and intensity attributed to the variation in the total amount of precipitation but did not report how precipitation varies at different frequencies and intensities under various thresholds limits (e.g., light, moderate and heavy) and the probable causes of these changing behaviors are yet to be explored.
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2015, Journal of HydrologyCitation Excerpt :To use daily rainfall rates and patterns from future climate scenarios in the RWCS design curve construction, monthly rainfall output from GCMs participating in the Coupled Model Intercomparison Project 5 (CMIP5) (Meehl et al., 2009; Taylor et al., 2012) is statistically downscaled to daily values, with the downscaled GCM data tested against historical rainfall to identify the best-performing GCMs for a given study region (Fig. 1). The downscaled daily data is used in the GCM assessment due to the tendency of GCMs to overestimate the frequency and underestimate the intensity of daily precipitation depths, often failing to accurately reproduce the statistics seen in historical records (Mearns et al., 1995; Walsh and McGregor, 1995, 1997; Bates et al., 1998; Charles and Bates, 1999). For RWCS analysis and design, capturing the daily dynamics of rainfall patterns is essential, as several days without rainfall can deplete storage tanks.
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