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

• Use Cases and Overall Design 02/2010
• Release 1.0: Quality Screening for AIRS Level 2 08/2010
• Release 1.1: Moderate Resolution Imaging Spectroradiometer Level 2 Cloud products 11/2010
• Release 1.2: Microwave Limb Sounder/High Resolution Dynamics Limb Sounder + Quality Impact Views 02/2011
• Release 1.3: User-side screening for Cloudsat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation 07/2011
• Release 1.4: Refactored DQSS for Long term Maintenance and Operations 11/2011

TRL in = 7 TRL current = 7

Work Plan (PDF)