Accessing GOES-R series data from cloud platforms to create a value-added tool for end users

Danielle Losos; Katherine Pitts; Maurice McHugh

doi:10.1117/12.2568677

20 August 2020 Accessing GOES-R series data from cloud platforms to create a value-added tool for end users

Danielle Losos, Katherine Pitts, Maurice McHugh

Proceedings Volume 11501, Earth Observing Systems XXV; 1150117 (2020) https://doi.org/10.1117/12.2568677
Event: SPIE Optical Engineering + Applications, 2020, Online Only

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.

Conference Presentation

Citation Download Citation

Danielle Losos, Katherine Pitts, and Maurice McHugh "Accessing GOES-R series data from cloud platforms to create a value-added tool for end users", Proc. SPIE 11501, Earth Observing Systems XXV, 1150117 (20 August 2020); https://doi.org/10.1117/12.2568677

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