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GMI Resources
Read the latest Global Precipitation Measurement (GPM) Microwave Imager (GMI) news and access learning resources designed to help you optimize your Earth science research.
GMI Learning Resources
This ARSET training addresses how to use remote sensing data for agriculture monitoring, specifically drought and crop monitoring.
Training
April 14 - May 5, 2020
This ARSET training focuses on the analysis and interpretation of long-term IMERG data for extreme dry and wet period monitoring and management.
Training
Jan. 28 - Feb. 4, 2020
This ARSET training focuses on Earth observation data useful for disaster risk assessment.
Training
Aug. 6-15, 2019
Esta capacitación de ARSET cubre cómo usar datos de la NASA para caracterizar eventos de desastres y apoyar esfuerzos de ayuda.
Training
April 16-30, 2019
This ARSET training shows how NASA remote sensing data can be used to characterize and monitor disaster-related events and support relief efforts.
Training
April 16-30, 2019
This ARSET training introduces using satellite data and Earth system modeling data sources to estimate surface water budgets.
Training
March 13 - April 3, 2019
Studying the mechanics of lake effect snow helps researchers better understand water/land contrasts across snowfall bands.
Data in Action
Oct. 19, 2018
What is the 3D structure of falling snow and how does its variability affect remotely sensed retrievals?
Data in Action
Oct. 19, 2018
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IMERG Precipitation Rate from Apr 11, 2022.
Worldview Image of the Week
May 18, 2022
Talking about NASA precipitation data with GPM Project Scientist Dr. Gail Skofronick-Jackson.
Data User Story
May 12, 2021
Who uses NASA Earth science data? Dr. Larry O’Neill, to explore the effects of air-sea interactions on weather, ocean, and climate.
Data User Story
April 22, 2021
For the people of Asia and Southeast Asia, water is integral to their livelihood. Dr. Hossain uses NASA Earth observing data to improve water management and accelerate economic development in these regions.
Data User Story
April 22, 2021
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