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Welcome to the Summer Meeting for the Earth Science Information Partners (ESIP)! The 2017 theme is Strengthening Ties Between Observations and User Communities. The theme is based on one of the goals in the 2015 - 2020 ESIP Strategic Plan, which provides a framework for ESIP’s activities over the next three years.
  • Check out the full 2017 Summer Meeting Guide here -> http://bit.ly/ESIP_Sum_Guide_2017
  • Find a map if the Indiana Memorial Union HERE.
  • There will be lots going on in Slack during the meeting, find your invite HERE. #summer_mtg

Miss the plenary? Click here to check it out!
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Wednesday, July 26 • 4:00pm - 5:30pm
Geoscience in the Cloud: Data-Proximate Science to Address Big Data and Open Science Challenges

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Data are not only the lifeblood of the geosciences but they have become the currency of the modern world in science and society. Rapid advances in computing, communications, and observational technologies — along with concomitant advances in high-resolution modeling, ensemble and coupled-systems predictions of the Earth system — are revolutionizing nearly every aspect of our field. Modern data volumes from high-resolution ensemble prediction/projection/simulation systems and next-generation remote-sensing systems like hyper-spectral satellite sensors and phased-array radars are staggering. For example, CMIP efforts alone will generate many petabytes of climate projection data for use in assessments of climate change. And NOAA’s National Climatic Data Center projects that it will archive over 350 petabytes by 2030.

For researchers and educators, this deluge and the increasing complexity of data brings challenges along with the opportunities for discovery and scientific breakthroughs. The potential for big data to transform the geosciences is enormous, but realizing the next frontier depends on effectively managing, analyzing, and exploiting these heterogeneous data sources, extracting knowledge and useful information from heterogeneous data sources in ways that were previously impossible, to enable discoveries and gain new insights. At the same time, there is a growing focus on the area of “Reproducibility or Replicability in Science” that has implications for Open Science.

The advent of cloud computing has opened new avenues for not only addressing both big data and Open Science challenges to accelerate scientific discoveries. However, to successfully leverage the enormous potential of cloud technologies, it will require the data providers and the scientific communities to develop new paradigms to enable next-generation workflows and transform the conduct of science. Making data readily available is a necessary but not a sufficient condition. Data providers also need to give scientists an ecosystem that includes data, tools, workflows and other services needed to perform analytics, integration, interpretation, and synthesis - all in the same environment or platform. Instead of moving data to processing systems near users, as is the tradition, the cloud permits one to bring processing, computing, analysis and visualization to data – so called data proximate workbench capabilities, also known as server-side processing.

In this session, speakers will present ongoing work to facilitate a new paradigm for doing science by offering a suite of tools, resources, and platforms to leverage cloud technologies for addressing both big data and Open Science/reproducibility challenges, and engage in a community dialog on the opportunities and challenges of the new paradigm.

Speakers | Moderators
avatar for Julien Chastang

Julien Chastang

Software Engineer, UCAR - Unidata
Scientific software developer at UCAR-Unidata.

Marlon Pierce

Director, Science Gateways Research Center, Indiana University
avatar for Mohan Ramamurthy

Mohan Ramamurthy

ESSO Principal Investigator, Unidata
Dr. Mohan Ramamurthy is the PI and Project Director for the EarthCube Science Support Office (ESSO), as well as the Director of UCAR’s Unidata Program, and is a scientist at the National Center for Atmospheric Research. Dr. Ramamurthy studied weather processes and prediction, including... Read More →

Wednesday July 26, 2017 4:00pm - 5:30pm MDT
5 - Oak
  Oak, Breakout Session