What is it about?
In this study, we evaluated the performance of rain-retrieval algorithms for the Version 6 Global Precipitation Measurement (GPM-V6) products, and improved the retrieval algorithm preliminarily by using a revised shape parameter derived from long-term disdrometer observations in Jianghuai region.
Featured Image
Photo by NASA on Unsplash
Why is it important?
The GPM mission shows a significant advantage over gauge-based or radar-based rainfall estimates, which is expected to improve our knowledge of precipitation processes by providing greater dynamic range, more detailed information on microphysics, and better accuracy values in rainfall retrievals. However, it's performance over Jianghuai needs to be evaluated using long-term disdrometer observations.
Perspectives
The retrieval of rainfall based on satellite observations is a hotspot in recent researches. I hope this study can make a contribution to the validation work of GPM programme.
Prof. Wu Zuhang
Read the Original
This page is a summary of: Validation of GPM Precipitation Products by Comparison with Ground-Based Parsivel Disdrometers over Jianghuai Region, Water, June 2019, MDPI AG,
DOI: 10.3390/w11061260.
You can read the full text:
Contributors
The following have contributed to this page
