科研之友
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摘要
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 but fall. Additionally, we found that satellite-based data tend to overestimate light precipitation relative to the multi-gauge average, which more often records no precipitation.
- 出版日期2014-5-4
