Abstract
Comment
Better suited for a poster
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Oral or Poster
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IAMAS
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JMP03 - High-impact Weather and Climate Extremes
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Comparative Validation of GPM IMERG V07B and V06B Using Ground-Based Radar Data Across Diverse Geographic Locations
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1. Sihan Zhang*, Ocean University of China,Qingdao,China
2. Fengfei Song, Ocean University of China,Qingdao,China
3. Zhe Feng, Pacific Northwest National Laboratory,Richland,WA,USA
4. Adam Varble, Pacific Northwest National Laboratory,Richland,WA,USA
5. Ruby Leung, Pacific Northwest National Laboratory,Richland,WA,USA
6. Lu Dong, Ocean University of China,Qingdao,China
*Presenting Author
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Accurate and reliable precipitation data with high spatiotemporal resolution are essential for studying extreme weather and climate events. The latest version of Integrated Multi-Satellite Retrievals for GPM (IMERG V07) has gained global attention for its improved accuracy over its predecessor, IMERG V06. However, challenges remain in validating sub-daily precipitation data, particularly over orographic and coastal regions due to limitations in spatiotemporal resolution and observational data availability. This study focuses on validating Ground-Based Radar, IMERG V06, and IMERG V07 across diverse geographical locations worldwide. Our findings reveal that IMERG tends to underestimate heavy precipitation while overestimating light precipitation when compared to Ground-Based Radar observations. Notably, IMERG V07 shows closer agreement with Ground-Based Radar for extreme precipitation over coastal areas compared to IMERG V06. Additionally, IMERG V07 demonstrates better performance in terms of Correlation Coefficient and Root Mean Square Error when compared to IMERG V06. This research enhances our understanding of IMERG precipitation performance and provides potential value for refining the algorithm of IMERG products.