Hide Title

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

Affiliation: University of Coimbra, Earth and Space Science Center (CITEUC), Portugal Project Mentee: Simon Ageet

Overview: Hydrometeorological natural hazards are on the rise globally, yet in Africa, rainfall data which is crucial in mitigation efforts is lacking. Understanding the amount and distribution of rainfall and how it plays a role in causing these natural hazards is critical to improve disaster response and mitigation efforts. This project uses GPM IMERG data together with resources like NASA's Landslide Viewer to determine a precipitation threshold for landslides in the Mt. Elgon region of Uganda. Mentors: Vasco Mantas, Zhong Liu, Andrea Portier, Dorian Janney

This collection of resources explores some of the people and organizations using GPM and other NASA Earth data, and how they help improve life around the world.

GPM Precipitation and Applications Viewer This page is a demonstration of the PMM Precipitation and Applications Publisher API. To learn how to use the API for your own applications, please visit: https://pmmpublisher.pps.eosdis.nasa.gov/ https://pmmpublisher.pps.eosdis.nasa.gov/docs For More Information On: the GPM Precipitation products, please see: https://gpm.nasa.gov/data/directory the Global Landslide Nowcast, please visit: https://gpm.nasa.gov/applications/landslides LOADING Show Legends Show Controls Select Region: North America Central America South America Europe Africa Middle East

GPM IMERG Global Viewer View Fullscreen Data Displayed In the window above, the Cesium viewer shows the latest 30-minute, 1-day, and 7-day precipitation accumulations from the IMERG product. For more information on IMERG and other GPM data products, please visit our GPM Data Downloads page.

Overview The GPM Cold-season Precipitation Experiment (GCPEx) was conducted in cooperation with Environment Canada in Ontario, Canada from January 17th to February 29th, 2012. The overarching goal of GCPEx was to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow through the collection of microphysical property data, associated remote sensing observations, and coordinated model simulations of falling snow. Through collection of these unique datasets, GCPEx's goal is to improve the GPM snowfall retrieval algorithms. The GCPEx