Panel Discussion 4B The Global Weather Enterprise

Tuesday, 8 January 2019: 1:30 PM-2:30 PM
North 222AB (Phoenix Convention Center - West and North Buildings)
Host: Seventh Symposium on the Weather, Water, and Climate Enterprise
Moderator:
Jack Hayes, Harris Corporation, Environmental Solutions, Space and Intelligence Segment, Herndon, VA
Panelists:
Neil A. Jacobs, NOAA, Assistant Secretary of Commerce for Environmental Observation and Prediction and Peter Platzer, Spire Global, Inc., Boulder, CO

Data Sharing - Incentive-based data exchange

 

The challenges and opportunities associated with global environmental data exchange should be examined by the international community to ensure continued viability and success of the global data exchange system. As the world relies on increasing amounts of data, one of the primary issues is the potential for barriers to transferring data within the current architecture. Likewise, the landscape of environmental data providers is being altered to include commercial and other new vendors. The international community and relevant international organizations should consider how to best integrate new and emerging commercial technologies in a responsible manner. As the world increases its reliance on high quality data, international organizations need to focus on how they can best foster an environment that spurs continual innovation. Reasons such as these raise the question of how best to exchange and manage data on a global level. Solutions should not merely focus on updating data policies that are largely unenforceable or are making only incremental upgrades to aging data exchange infrastructure. The international community and relevant international organizations should explore initiatives that will support the continued growth and exchange of high quality environmental data through a responsible approach. This presentation will explore potential solutions such as cloud-based incentive-driven data exchange programs that take advantage of technological advancements to promote greater data sharing. Potential solutions could incorporate a variety of data sets and be scalable to support a range of operational needs. Big data management limitations in the global weather enterprise is one of the primary barriers, and an efficient architecture needs to be established before we can extract more value from existing data or process the significantly larger volumes of data that are expected to be produced over the next several years. 

Papers:
1:30 PM
Introductory Remarks

1:45 PM
Jacobs

2:00 PM
Platzer

2:15 PM
Panel Discussion

2:30 PM
The Global Weather Enterprise Forum -- Alan Thorpe
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