Abstract
As part of NOAA’s Big Data Project, near real time GOES-16 and GOES-17 Advanced Baseline Imager (ABI) Level 1b (L1b) and Level 2 (L2), Geostationary Lightning Mapper (GLM) L2, and Solar Ultraviolet Imager (SUVI) L1b data are being provided through cloud-computing platforms such as Google Cloud Platform and Amazon Web Services. This partnership allows data users to access and analyze large amounts of GOES-R Series data without needing to download the data files or use much of their personal computing resources for analysis. Another benefit of cloud data access is the ability to create value-added products and tools from existing GOES-R Series data for downstream users who are more interested in having easily accessible end products for decision making rather than in performing research analyses. This paper will first describe how a user can access GOES-R Series data from a cloud platform service, and will then illustrate the application of a value-added tool using those data.
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