Near Real-Time Global Precipitation from the Global Precipitation Measurement Constellation
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- Visualizations by:
- Horace Mitchell
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- Scientific consulting by:
- Dalia B Kirschbaum,
- Gail Skofronick Jackson, and
- George Huffman
- View full credits
The Global Precipitation Measurement (GPM) mission produces NASA's most comprehensive global rain and snowfall product to date, called the Integrated Multi-satellite Retrievals for GPM (IMERG). It is computed using data from the GPM constellation of satellites — a network of international satellites that currently includes the GPM Core Observatory, GCOM-W1, NOAA-18, NOAA-19, DMSP F-16, DMSP F-17, DMSP F-18, Metop-A, and Metop-B. The global IMERG dataset provides precipitation rates for the entire world every 30 minutes. Although the process to create the combined dataset is intensive, the GPM team creates a preliminary, near-real-time dataset of precipitation within several hours of data acquisition. This visualization shows the most currently available precipitation data from IMERG, depicting how rain and snowstorms move around the planet. As scientists work to understand all the elements of Earth's climate and weather systems, and how they could change in the future, GPM provides a major step forward in providing comprehensive and consistent measurements of precipitation for scientists and a wide variety of user communities.
Credits
Please give credit for this item to:
NASA's Scientific Visualization Studio.
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Animator
- Horace Mitchell (NASA/GSFC) [Lead]
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Scientists
- Dalia B Kirschbaum (NASA/GSFC) [Lead]
- Gail Skofronick Jackson (NASA/GSFC) [Lead]
- George Huffman (NASA/GSFC) [Lead]
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Producer
- Ryan Fitzgibbons (KBR Wyle Services, LLC)
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Programmer
- Leann Johnson (Global Science and Technology, Inc.)
Missions
This visualization is related to the following missions:Datasets used in this visualization
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IMERG
ID: 863This dataset can be found at: http://pmm.nasa.gov/sites/default/files/document_files/IMERG_ATBD_V4.4.pdf
See all pages that use this dataset
Note: While we identify the data sets used in these visualizations, we do not store any further details, nor the data sets themselves on our site.