Speaker
Description
The detection of random transients, arising from high energy particle hits on CCD pixels, bears significance for the OMPS Limb Profiler (LP) sensor and other limb scatter sensors of similar design. This is because majority of the LP science data products are derived from altitude normalized radiances where even small transients at normalization altitude can be significant. Results from a transient detection algorithm employing principal component analysis (PCA) of LP earth view data are presented. The algorithm is shown to be reasonably successful in detection and flagging of significant transients which on a daily global map predominantly occur over South Atlantic Anomaly (SAA) region, and with few detections happening outside the SAA region. The detections outside SAA region are linked to unique geophysical phenomena characterized by vertical-temporal correlations and are considered as false positives from a transient detection perspective except for rare occurrences of transient hits from geomagnetic activities mostly confined to polar regions. An additional feature of the algorithm is the ability to offer predicted radiance as an option to the user to replace values adversely affected by transients. The details of the algorithm, methodology of analysis and results are presented.
