Thursday, 9 May 2024
Regency Ballroom (Hyatt Regency Long Beach)
Muhammad Naufal Razin, CIRA, Fort Collins, CO; and C. Slocum, J. Knaff, K. Haynes, and M. McGraw
The Tropical Cyclone Precipitation, Infrared, Microwave, and Environmental Dataset (TC PRIMED) is a dataset centered around satellite passive microwave observations of tropical cyclones that contains 1) intercalibrated passive microwave brightness temperatures from the GPM Constellation satellites, 2) passive-microwave-based retrieved rainfall, 3) nearly-coincident infrared brightness temperatures, 4) spaceborne precipitation radar observations, 5) tropical cyclone information such as position and intensity, and 6) environmental diagnostics and fields from the ECMWF fifth-generation reanalysis (ERA5). Presently, TC PRIMED contains over 197,000 overpasses of 2,300 tropical cyclones from 1998 to 2021, and is publically available through the NOAA Open Data Dissemination program via Amazon Web Services (https://noaa-nesdis-tcprimed-pds.s3.amazonaws.com/index.html).
In this presentation, we highlight progress towards extending TC PRIMED forward and backward in time, and present efforts to improve its discoverability and accessibility. In addition, we spotlight interactive computational notebooks that walk users through pre-processing and applying artificial intelligence methods to TC PRIMED data in coordination with NOAA’s Center for Artificial Intelligence. These notebooks provide example NOAA use cases to familiarize dataset users with TC PRIMED and potential applications to improve tropical cyclone understanding and forecasting.
Disclaimer: The scientific results and conclusions, as well as any views or opinions expressed herein, are those of the author(s) and do not necessarily reflect those of NOAA or the Department of Commerce.

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