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Supervisor: Eric Chassignet

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

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

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

10 Comparison Global differences: Correlation (SST only):
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 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
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 average average cm/s

16 Salinity HYCOM ARGO Parking pressure 1000m psu

17 Temperature HYCOM ARGO Parking pressure 1000m °C


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