Construction of a Longer Term and more Homogeneous GSMaP Precipitation Dataset
摘要
This paper reviews methodologies in Global Satellite Mapping of Precipitation (GSMaP) V8, released in Dec. 2021, which emphasizes producing more homogeneous precipitation estimates and reprocessing to construct a longer-term precipitation dataset. The normalization module for Passive Microwave (PMW) retrievals was implemented in V8 to make PMW retrievals more homogeneous for microwave imagers and sounders. In addition, a histogram-matching method was developed to mitigate biases of IR retrievals against PMW retrievals. The combined CPC-4 km Global IR dataset and GridSat-B1 data have made GSMaP V8 data available for over 25 years since Jan. 1998. GSMaP Near-Real-Time (NRT) products were evaluated using previous and new versions for India. Underestimates by satellite precipitation products are frequently found in data for the Western Ghats on the western coast of the Indian subcontinent. Underestimates by GSMaP NRT products were also found for that area. Also, the NRT gauge-adjusted technique was corrected to increase precipitation estimates for the Western Ghats, leading to smaller errors.