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Comparison of Anomalies in 9-Day Operational Products Using a New Algorithm

This report presents a comprehensive analysis of the current 9-day operational products, focusing on anomaly detection in relation to climatology. It introduces an innovative algorithm for evaluating operational statistics, leveraging data from ARGO and LEVITUS datasets. The study includes singularity analysis of climatology, operational products, and the new algorithm itself, with a specific emphasis on sea surface temperature data derived from the OSTIA system. Results indicate significant improvements in anomaly detection accuracy, contributing to more reliable climate monitoring.

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Comparison of Anomalies in 9-Day Operational Products Using a New Algorithm

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Presentation Transcript

  1. 9-days map: Current operational product

  2. 9-days map: New algorithm

  3. Comparison of L3: Anomaly w.r.t. climatology New algorithm Operational

  4. Statistics with respect ARGO and LEVITUS

  5. Singularity analysis: Climatology

  6. Singularity analysis: operational product

  7. Singularity analysis: New algorithm

  8. Singularity analysis: SST-OSTIA

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