{"id":37888,"date":"2020-12-07T20:21:10","date_gmt":"2020-12-08T01:21:10","guid":{"rendered":"https:\/\/web.uri.edu\/rinsfepscor\/?p=37888"},"modified":"2021-05-21T17:14:26","modified_gmt":"2021-05-21T21:14:26","slug":"data-for-forecasting-rhode-island-waterways","status":"publish","type":"post","link":"https:\/\/web.uri.edu\/rinsfepscor\/2020\/12\/07\/data-for-forecasting-rhode-island-waterways\/","title":{"rendered":"IO-4: Data for forecasting Rhode Island waterways"},"content":{"rendered":"

Mentor: Baylor Fox-Kemper<\/a><\/strong>, Brown University<\/em><\/p>\n

Project Location<\/h3>\n

Brown University<\/p>\n

Project Description<\/h3>\n
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Dr. Baylor Fox-Kemper<\/figcaption><\/figure>\n

Narragansett Bay is one of the world’s best observed estuaries, and a key aspect of the C-AIM project is collecting together historical and ongoing datasets from the bay. These data will be used to evaluate the behavior of the Ocean State Ocean Model<\/strong>, an model under active development by students and post-doctoral scientists at URI and Brown. In past years, students have worked in this group to bring buoy, satellite, drone, Department of Health beach measurements, and ship-based observations into a form suitable for assessing the model’s skill. As we turn toward future modeling and real-time data collection, data sciences and statistics are becoming more of the process in comparing models and data.<\/p>\n

This team will work together with the Rhode Island Data Discovery Center<\/a> team and the Ocean State Ocean Model team to bring data and models together, including visualization. Past teams have evolved into teams to collect targeted observations in the field.<\/p>\n

Additional Information<\/h3>\n