Improving Data Mobility & Management for International Climate Science
Hosted by the
National Oceanic and Atmospheric Administration (NOAA)
Room GC402, David Skaggs Research Center Building
NOAA Earth Systems Research Laboratory
325 Broadway St., Boulder, Colorado
July 14–16, 2014, Boulder, Colorado
Registration is now closed as this event is completely full (to overflowing). As a result:
- Please take only one (1) seat in the auditorium, as all seats will be in use.
- Allow extra time to get through Welcome Station check-in; 30 minutes should allow for the extra traffic.
- Limited pre-event food/beverage is available at the facility cafeteria. Plan to eat lunch Monday and breakfast on Tuesday/Wednesday before arriving.
- Power is available at many seats in the auditorium, but power may only be guaranteed available in the F&B Room, nearby. Come powered-up!
- Because this event is taking place during Ramadan, a Prayer Room has been prepared. Room GB306 is available throughout the event. If an attendee has questions or concerns related to this facility, please contact Rhonda Lange.
- Attendees requesting either vegetarian or special meals should contact Susan Evett. Anyone who did not pre-request a vegetarian meal should please choose from the other options to ensure sufficiency for attendees.
This CrossConnects workshop (formerly Focused Technical Workshop), sponsored by ESnet and Internet2; co-sponsored by Indiana University, National Center for Atmospheric Research (NCAR) and National Oceanic & Atmospheric Administration (NOAA); and hosted by NOAA, brings together network experts with scientists in the domain of international climate sciences to discuss their most pressing network-related issues and requirements. The workshop begins at 1 pm on Monday, concludes by 12 noon on Wednesday, and includes a slate of invited speakers and panelists. The format is designed to encourage lively, interactive discussions with the goal of developing a set of tangible next steps for supporting this data-intensive science community.
Climate data sets are currently measured on a scale of terabytes, and within a few short years are expected to be petabytes in size. This data is produced from sources ranging from supercomputing centers, where large-scale climate modeling and simulations are performed, to satellites that are recording and transferring data constantly. Many climate scientists and data managers struggle with data workflow. Without performance improvements, scientific productivity will suffer.
Topics will be explored in depth within the context of International Climate Sciences:
- Technology Best Practices
- Network (architectures, performance measurement, security)
- Computing systems (reference architectures, security and forensics, network connectivity)
- Software (Data transfer, workflow management systems, Earth System Grid Federation)
- Scientific Drivers
- Process of science
- Past, present, future outcomes
- Event horizon for change (e.g. new technology and processes that will be a fundamental change?)
- Facility Overviews
Networking experts, climate scientists (especially scientists dealing with large-scale data results, or people dealing with staging terabytes and petabytes of data to a destination—i.e. a supercomputing center), data managers (specifically those who work in publishing climate data, as they are a key audience that has to work with transferring data), and software engineers. As this is a global initiative, international participation is expected and encouraged.
With the participation of key stakeholders from multiple agencies and programs, we can provide the climate science community with the knowledge, tools, and partners necessary to improve data transfer performance as data scale continues to increase. By increasing performance to match increased data scale, we hope to help bring about increased scientific productivity for this community.
Network providers engage in open discussion with users to learn what the climate science community requires: what they need to do, what they cannot do, and what they could do if there were no limitations.