Session Recording HereThe quality assessment of observations from NOAA observing platforms is an essential element in the data lifecycle. The various stages of data quality control is a complex endeavor from statistical, data workflow or process perspectives. As data volume increases and data are delivered from a more diverse range of observing platforms, new approaches to quality control are needed to address this wave of data.
This session invites presentations on new approaches in data quality control. With the emphasis on new approaches to quality control of data, presentations on novel implementations of data analysis, data workflows that integrate quality control, or the hosting of quality control services are invited.
Presentations (abstracts by session here):
1. A Neural Network Approach to Automated Quality Control in Near-Real-Time
- Joshua Osborne
2. A robust web-based monitoring tool for data availability and quality implemented at NOAA CoastWatch
- Sathyadev Ramachandran, Julie Werner
3. Design, Implementation, and Evaluation of a Distributed System for Cloud-Based Data Quality Control Services
- Eugene Burger, Emily Osborne, Madison Soden, Claudia Schmid