Objective
- Make data quality information easy to use for the water cycle community
- Expert and non-specialist users alike
- Human and machine users alike
- Connect users seamlessly to best practices in data quality handling, i.e., the science team recommendations for quality screening (filtering)
- Enable higher and more correct utilization of data quality indicators in data analysis
Quality Screening Process
Total Column Precipitable Water from Atmospheric Infrared Sounder (AIRS) near Madagascar, 4 Jun 2009
Approach
- Implement easy-to-use Web Service
- Users invoke as a Universal Resource Locator (URL)
- Encodes science team recommendations into service
- Describe quality fields and recommendations in an ontology for extensibility, reusability and machine readability
- Support both server-side and user-side screening
- Server-side screens data before sending
- User-side supplies quality mask and portable tools for screening on the user’s computer
Co-Is/Partners
Ed Olsen, NASA/JPL; Bruce Vollmer, Robert Wolfe, Shahin Samadi, NASA/GSFC; Peter Fox, Rensselaer Polytechnic Institute
Key Milestones
- Release 1.0 (AIRS): Complete
- Release 1.1 (MODIS Water Vapor): 1/2011
- Release 1.2 (MODIS Aerosols): 4/2011
- Release 1.3 (OMI Level 2): 5/2011
- Release 1.4 (MLS Level 2): 6/2011
- Release 2.0 (Refactor): 9/2011
TRL in = 7 TRL current = 7
Work Plan (PDF)
