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Evaluating Global HYCOM Ocean Prediction System Performance Using ARGO Float Data

This study aims to assess the effectiveness of the global HYCOM ocean prediction system utilizing ARGO float data. The research evaluates the system's accuracy in predicting ocean variability, salinity, temperature, and velocity on a global scale. Through comparisons between ARGO float data and HYCOM model outputs, this analysis sheds light on the system's strengths and limitations.

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Evaluating Global HYCOM Ocean Prediction System Performance Using ARGO Float Data

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  1. Louis-Nicolas CARRIL MURTA Supervisor: Eric Chassignet

  2. Outline • Motivation • ARGO float system • HYCOM • Data and model outputs • Comparison • Conclusion

  3. Motivation • Aim? • To evaluate the performance of the global HYCOM ocean prediction system • To improve the global HYCOM ocean prediction system

  4. ARGO’s float system • Origin : WOCE 1990-1997 • Data transmitted by satellite • Hydraulic system to descend till 2000m depth • Provide a global quantitative ocean variability, salinity, temperature, velocity with profiles • Used for model validation

  5. Float’s distribution Lack of floats

  6. HYCOM Ocean Prediction System (HYbrid Coordinate Ocean Model) • Hybrid model: combine 3 vertical discretizations • z-level in unstratified regions like the mixed layer • Density coordinates in stratified regions • Terrain-following coordinates in coastal regions • Solve oceanic physical processes • Global 1/12° horizontal resolution • Forced by NOGAPS, assimilation of observed T, S, SSH • Hindcast runs: velocities, temperature, salinity

  7. ARGO data & HYCOM outputs • HYCOM outputs : • Velocity, salinity and temperature : • From 2004 to 2007 • Daily outputs • Global 1/12° curvilinear grid • ARGO data : • Salinity & temperature : • From 2004 to 2007 • Daily data • Profiles (scattered data) • Velocity • Mean from 1997 to 2007 • 3°X3° rectilinear grid

  8. HYCOM ARGO psu 37 SALINITY SALINITY 36 35 34 33 32 °C 30 TEMPERATURE TEMPERATURE 25 20 15 10 5 0 SURFACE TEMPERATURE AND SALINITY (2004-2007)

  9. Surface U Velocity HYCOM ARGO 1997-2007 average 2004-2007 average -5 -10 -15 -20 20 15 10 5 0 cm/s

  10. Comparison • Global differences: • Average of 2004 to 2007 • Seasonal average • Correlation (SST only): • Monthly average linear regression

  11. 2004-2007 (ARGO-HYCOM) °C & psu 2 Surface Surface SALINITY TEMP 1.5 1 0.5 0 1000m 1000m TEMP SALINITY -0.5 -1 -1.5 -2

  12. Seasonal SST (ARGO-HYCOM) Summer Fall Spring Winter °C

  13. Coefficient of Linear Regression a~ -1 HYCOM & ARGO opposite relationship a ~ 0 No correlation a~ 1 HYCOM & ARGO correlated

  14. Conclusion • HYCOM global configuration provides a good approximation of mean salinity, temperature and velocity for long time periods • But HYCOM appears to not accurately capture the monthly variations

  15. 1000 m U Velocity HYCOM ARGO 1997-2007 average 2004-2007 average cm/s

  16. Salinity HYCOM ARGO Parking pressure 1000m psu

  17. Temperature HYCOM ARGO Parking pressure 1000m °C

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