[Esip-infoquality] AGU Session IN014: Challenges and Solutions to Capture Measurement Uncertainties in Standardized Metadata for Earth Science Observations
weiy at ornl.gov
Wed Jul 31 11:55:01 EDT 2019
The AGU 2019 Fall Meeting will be held on Dec. 9-13 in San Francisco, CA.
We would like to welcome your submission to session IN014: Challenges and Solutions to Capture Measurement Uncertainties in Standardized Metadata for Earth Science Observations.
IN014: Challenges and Solutions to Capture Measurement Uncertainties in Standardized Metadata for Earth Science Observations
Earth science research is increasingly dependent on diverse datasets generated from a variety of platforms and instruments/sensors to achieve adequate spatial/temporal coverage and to provide comprehensive process understanding. The science value of observational datasets is limited when the measurement uncertainty and consistency are not adequately defined. Measurement consistency is especially important when a parameter is measured by multiple instruments. A fundamental challenge is to capture and describe uncertainty and consistency information tailored to each measurement and sampling type, that is, in-situ, remote sensing, or other types of observations. NASA’s Data Quality Working Group (DQWG) recently made innovative recommendations for providing remote sensing measurement quality information. This session expands the scope of DQWG and solicits presentations with examples of the capture and use of complex measurement uncertainties and/or consistencies within existing metadata standards and use cases demonstrating the needs to extend current standards or develop new metadata standards.
Primary Convener: Yaxing Wei, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Gao Chen, NASA Langley Research Center
Deborah Smith, NASA IMPACT Project
Makhan L Virdi, NASA Langley Research Center
Abstract Submission Deadline: 31 July, 11:59 P.M. ET
We look forward to your contribution and participation at the AGU meeting.
Apologies for any cross posting. Please forward this notice to all interested colleagues.
Yaxing Wei, Gao Chen, Deborah Smith, and Makhan L Virdi
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