Dr. Christopher Lynnes of the GES DISC recently presented a paper on the Data Quality Screening Service (DQSS) at a workshop in Chicago on Managing Data Quality for Collaborative Science, part of the Association for Computing Machinery's (ACM) International Symposium on High Performance Distributed Computing (HPDC). The DQSS is designed to help science users navigate and handle the often-complex quality information associated with NASA science data. Users will be able to screen the data based on science team recommendations, or customize screening to their own particular quality needs. DQSS is expected to go live for AIRS Level 2 data in August 2010. The project is a collaboration with scientists from the AIRS Science Team, MODIS Adaptive Processing System and Rensselaer Polytechnic Institute.
AIRS Total Column Precipitable Water from Atmospheric Infrared Sounder (AIRS) near Madagascar, 4 Jun 2009, demonstrating data quality screening
For more information, see: http://tw.rpi.edu/portal/DQSS.