Data Set Rainfall database could help predict food insecurity events.

Published on May 15th, 2014 | by Travis Korte

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Rainfall Data Set Can Help Combat Food Insecurity

The University of California Santa Barbara’s Climate Hazards Group released a near-real time rainfall data set this week to support early detection of droughts around the world.

The data set attempts to reconcile recent satellite-based rainfall observations with historical ground-based rainfall data, to create a more consistent picture of how rainfall in the atmosphere ends up affecting the terrestrial environment. The database is already being used to identify potential hot spots of food insecurity, including in drought-plagued East Africa, and send alerts to food security programs coordinated by the United States Agency for International Development.

Get the data.

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About the Author

Travis Korte is a research analyst at the Center for Data Innovation specializing in data science applications and open data. He has a background in journalism, computer science and statistics. Prior to joining the Center for Data Innovation, he launched the Science vertical of The Huffington Post and served as its Associate Editor, covering a wide range of science and technology topics. He has worked on data science projects with HuffPost and other organizations. Before this, he graduated with highest honors from the University of California, Berkeley, having studied critical theory and completed coursework in computer science and economics. His research interests are in computational social science and using data to engage with complex social systems. You can follow him on Twitter @traviskorte.



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