Abstract
Evaluation of satellite precipitation algorithms is essential for future algorithm development. This is why many previous studies are devoted to the validation of satellite-based observations . For instance, Tian et al. (2009) analyzed the error of six high-resolution satellite products versus a gauge-based estimate, and reported regional and seasonal variations of error patterns in the contiguous US. They conclude that satellite products tend to overestimate rainfall in the summer and underestimate it in the winter. Sapiano and Arkin (2009) also confirmed that satellites overestimate summertime convective storms over the US. Using Volumetric False Alarm Ratio, AghaKouchak et al. (2011) showed that several satellite products exhibit high false alarm rate for rainfall, especially at high quantiles of observation.
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Nasrollahi, N. (2015). False Alarm in Satellite Precipitation Data. In: Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-12081-2_2
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