The Anomaly Comparisons feature provides temperature and salinity anomaly visualizations, calculated by subtracting 30-year monthly climatology values from real-time glider observations. The climatology is sourced from the World Ocean Atlas 2023 (WOA23, https://www.ncei.noaa.gov/access/world-ocean-atlas-2023/), using 1/4° resolution data.
This feature is based on the original MATLAB implementation developed by CARICOOS (https://www.caricoos.org/), and has been fully rewritten in Python with an object-oriented design. Enhancements include: Dynamic depth scaling Support for multi-month calculations Improved code modularity and maintainability
How it works: Glider data is interpolated to match standard WOA depth levels. For each glider profile, the closest corresponding WOA data is extracted. Anomalies are computed as: Anomaly = Glider Value − WOA Climatology
Interpretation of results: Positive anomalies indicate warmer or saltier conditions compared to the 30-year average, shown in red for temperature and purple for salinity. Negative anomalies indicate cooler or fresher conditions, shown in blue for temperature and green for salinity.