Articles

Overview: This project works to validate the GPM dual-frequency precipitation radar (DPR) merged scan product against a quality-controlled ground reference data (GV-MRMS) in the continental US. Knowledge from this concept study will be applied to validating/ evaluating and selecting remotely-sensed satellite rainfall products that could be useful for rainfall estimation in data-scarce regions such as West Africa. Mentors: Yagmur Derin , Pierre Kirstetter

Affiliation: Texas A&M University – Corpus Christi, Corpus Christi, Texas, USA Project Mentees: Eva Yamamoto , June Choi ; Nimisha Wagle

Affiliation: Goddard Earth Sciences Technology and Research, Morgan State University, and NASA Goddard Space Flight Center, USA Project Mentees: Charlene Gaba , Idelbert Behanzin

Overview: Understanding how the behavior of large-scale precipitating systems is impacted by atmospheric variables can yield important insights about subseasonal variability and predictability across different regions. For this project, we explored the relationship between atmospheric variables and the characteristics of large precipitating systems, such as their size, geographic distribution, volume of rain, and maximum height of the system. Mentor: Chuntao Liu

Overview: This project uses IMERG to characterize the spatial and temporal extreme precipitation events over West Africa. Mentor: Mircea Grecu