What is it about?
This article is about using an object-storage archive system, similar to Amazon Web Services, to store meteorological data on "the cloud". It describes how to access the data and some different use cases.
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Why is it important?
As far as we know, this is the only publicly available source of High-Resolution Rapid Refresh data. The system makes it easy to download files from the cloud.
Perspectives
I began archiving HRRR model data locally in April 2015 for my Master's research. The archive was grew and other people were interested in accessing it for their own research. Then a new data storage solution became available at the University of Utah, known as Pando, which would allow us to easily make the data available to anyone. We moved all the HRRR data to the Pando archive and continue to add to it daily. As of September 2018, it exceeds 60 terabytes of data.
Brian K Blaylock
University of Utah
Read the Original
This page is a summary of: Cloud archiving and data mining of High-Resolution Rapid Refresh forecast model output, Computers & Geosciences, December 2017, Elsevier,
DOI: 10.1016/j.cageo.2017.08.005.
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