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Rain, snow, sleet, and other types of precipitation are vital for many processes across the planet. Precipitation, particularly rain, affects air quality by removing precursors of air pollution and particulate matter. Rain can also suppress certain emissions, such as dust. Rain and snow provide the water upon which agriculture depends, either directly (via rain or snowfall directly on fields) or indirectly (through water reserves that are used for irrigation). Understanding how this water is distributed and how it changes is essential to food security and sustainable water usage. 

Precipitation can have negative as well as positive effects. Flooding can occur in any location where precipitation occurs. Measuring rainfall helps advance our understanding of Earth's water cycle, improving forecasts of extreme events such as flooding. Precipitation is also the ultimate source of water for the aquatic habitats of disease-causing mosquito larvae. However, the direct effects of precipitation on larval survival are highly varied and are not always positive. For example, flooding from heavy rain can result in high levels of larval mortality.

NASA’s Earth observation data useful for the study of precipitation include precipitation rates, rainfall estimates, and total precipitation. Both historical and near real-time data are available. These data products help scientists understand important topics such as natural disasters, weather, disease spread, agriculture, and air quality. 

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Access a range of datasets and data tools to further your precipitation research.

Learn How to Use Precipitation Data

Access a range of webinars, tutorials, data recipes, and data stories to enhance your knowledge of Earth Observation data.
GES DISC Webinar thumbnail image showing extreme precipitation in California 2023.
Analyzing Precipitation Extremes Using Cloud Computing
This webinar delves into the use of public Zarr store and cloud computing to investigate extreme precipitation events.
Earthdata graphic identifier on top of satellite image of Earth
Convert LANCE NRT AMSR2 Rain Data to GeoTIFF Format Using Python
This code converts total column water vapor ('TotalColWaterVapor') in the AMSR2 Near Real Time (NRT) Rain product in HDF-EOS5 format to GeoTIFF.
Discover and Visualize Precipitation Data
NASA data help us understand Earth's changing systems in more detail than ever before, and visualizations bring these data to life, making Earth science concepts accessible, beautiful, and impactful.
Data visualization is a powerful tool for analysis, trend and pattern recognition, and communication. Our resources help you find world-class data visualizations to complement and enhance your research. We also have tools and tutorials to help you translate precipitation data into compelling visuals.
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Rain in Central America on 10 October 2022 from the MODIS instrument aboard the Aqua satellite with IMERG
This true color corrected reflectance image shows an overlay of precipitation rate in Central America taken from NASA's Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) (IMERG) algorithm. The IMERG algorithm uses passive-microwave data from the GPM constellation of satellites and also infrared data from geosynchronous satellites. The IMERG Precipitation Rate layer displays rain rate and snow rate in millimeters per hour (mm/hr). Areas in green show less intense precipitation and regions in yellow and red received heavier rainfall.

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