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Science storms the cloud

May 5, 2021

The core tools of science (data, software, and computers) are undergoing a rapid and historic evolution, changing what questions scientists ask and how they find answers. Earth science data are being transformed into new formats optimized for cloud storage that enable rapid analysis of multi-petabyte data sets. Data sets are moving from archive centers to vast cloud data storage, adjacent to massive server farms. Open source cloud-based data science platforms, accessed through a web-browser window, are enabling advanced, collaborative, interdisciplinary science to be performed wherever scientists can connect to the internet. Specialized software and hardware for machine learning and artificial intelligence are being integrated into data science platforms, making them more accessible to average scientists. Increasing amounts of data and computational power in the cloud are unlocking new approaches for data-driven discovery. For the first time, it is truly feasible for scientists to bring their analysis to data in the cloud without specialized cloud computing knowledge. This shift in paradigm has the potential to lower the threshold for entry, expand the science community, and increase opportunities for collaboration while promoting scientific innovation, transparency, and reproducibility. Yet, we have all witnessed promising new tools which seem harmless and beneficial at the outset become damaging or limiting. What do we need to consider as this new way of doing science is evolving?

Publication Year 2021
Title Science storms the cloud
DOI 10.1029/2020AV000354
Authors C. L. Gentemann, C. Holdgraf, Ryan Abernathey, D. Crichton, J Colliander, E. J. Kearns, Y Panda, Richard P. Signell
Publication Type Article
Publication Subtype Journal Article
Series Title AGU Advances
Index ID 70220335
Record Source USGS Publications Warehouse
USGS Organization Woods Hole Coastal and Marine Science Center