Abstract
Pangeo is a community promoting open, reproducible, and scalable science and the development of tools, infrastructure, and educational materials to make science more efficient. This talk will describe Pangeo's open-source Python-based framework for highly scalable data-proximate analysis and visualization. The framework can be used on local machines, on high-performance computing systems and on any commercial Cloud (e.g., AWS, Google, Azure, OpenStack) using a web browser as the interface. Through an interactive demo, attendees will hopefully see how these tools could be used to solve their science problems, take advantage of cloud computing, and optimize "analysis ready" data for the Cloud.
Presenter Bio
Rich Signell is a research oceanographer at the US Geological Survey in Woods Hole. He graduated from the University of Michigan School of Engineering with a B.S. in Atmospheric and Oceanic Science in 1983, obtained a MS in Physical Oceanography from MIT in 1987, and a Ph.D. from the WHOI/MIT Joint Program in Physical Oceanography in 1989.
Rich's early work at the USGS focused on dispersion and transport in coastal waters, and included the hydrodynamic simulations for the relocation of Boston’s sewage outfall to clean up of Boston Harbor. He has worked on a number of environmental sediment issues, including Massachusetts Bay, Lake Pontchartrain, and Long Island Sound. He also worked for the NATO Undersea Research Center in La Spezia, Italy from 2001-2004. Rich has a long-standing interest in data management, analysis and visualization, promoting standards and standards-based modeling tools for the last 20 years. He has been active on the Pangeo Project for the last three years and is a member of the Pangeo Steering Committee.
Publication Date
10-16-2020
Document Type
Presentation
Recommended Citation
Signell, Richard, "Pangeo: A Community and a Framework for Flexible, Scalable Open-Source Geoprocessing" (2020). Seminars. 316.
https://scholars.unh.edu/ccom_seminars/316