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Bias correction of long-term satellite monthly precipitation product over the conterminous United States

The Problem

Despite the unique areal coverage and advanced algorithm of the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), numerous studies have shown that TRMM-TMPA precipitation product, displays differences when compared to ground-based observations. In this project, we find that the inaccuracy in the satellite product has a high dependence on some environmental factors that cause bias in the satellite data relative to the ground-based observation.  

Our Approach

In this study, we investigate the differences between satellite-based and ground-based precipitation estimates as a function of various environmental factors. Then by using this relationship we are able to remove the identified factors’ effect on the satellite product, thereby improving the accuracy of the satellite products.

Averaged seasonal precipitation map in mm (from 1998 through 2015) over the conterminous United States from three different data sources: 1) gridded precipitation based on the rain gauge measurements (GAUGE), 2) parameter-elevation regressions on independent slopes model product (PRISM), and 3) the TRMM-3B43 satellite product (TRMM).