1. An analysis of seasonal biases in satellite and reanalysis rainfall products in the Savannah River basin
- Author
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Thomas L. Mote, Andrew Grundstein, and J.M. Shepherd
- Subjects
Atmospheric Science ,Quantitative precipitation estimation ,geography ,geography.geographical_feature_category ,Watershed ,Hydrological modelling ,Drainage basin ,Magnitude (mathematics) ,Climatology ,Earth and Planetary Sciences (miscellaneous) ,General Earth and Planetary Sciences ,Environmental science ,Satellite ,Precipitation ,General Environmental Science ,Convective precipitation - Abstract
Satellite-based precipitation data are a viable source of information in data-sparse regions and are particularly valuable for hydrological modelling applications. Several studies of satellite-based precipitation focus on monthly or greater timescales, but a relatively fewer number have been done on the daily or sub-daily scales. Also, biases in satellite-based precipitation data are often region-specific and such information is important for quantifying input errors in hydrological models. Our study builds upon these needs by examining biases in daily precipitation data for a watershed in the southeastern United States. We observed biases that occur seasonally and by magnitude. Seasonally, precipitation correlates well in most seasons but summer, likely due to the sporadic nature of convective precipitation that is a common precipitation mechanism in this region during the summer. Daily precipitation biases are around 5 mm, but the sign of the bias varies by season, with positive biases in all seasons bu...
- Published
- 2014
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