Iterative Error‐Driven Ensemble Labeling (IEDEL) Algorithm for Enhanced Data Quality Control for the Atmospheric Radiation Measurement (ARM) Program User Facility

• Published in: Journal of geophysical research. Machine learning and computation Vol. 1; no. 3
• Main Authors: Li, Lishan, Kehoe, Kenneth E., Hu, Jiaxi, Peppler, Randy A., Sockol, Alyssa J., Godine, Corey A.
• Format: Journal Article
• Language: English
• Published: 01.09.2024
• Subjects: anomaly detection; time series analysis; transfer learning

For over three decades, the Atmospheric Radiation Measurement (ARM) Program user facility has provided researchers with invaluable benchmark atmospheric data. Ensuring the accuracy and integrity of ARM data is vital, and to achieve this, the ARM Data Quality Office (DQO) has implemented customized q...