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Evaluation of MISST SST Satellite Product for Enhancing HYCOM Hindcast Sea Level Temperature

This study evaluates the potential of the Multi-sensor Improved Sea Surface Temperature (MISST) satellite product to enhance the Hybrid Coordinate Ocean Model (HYCOM) hindcast sea level temperature (SLT). By comparing HYCOM outputs with MISST data and independent observations from National Data Buoy Center (NDBC) buoys over one year, the research assesses whether the new MISST dataset could improve ocean model accuracy. The findings indicate that while HYCOM outputs align more closely with NDBC readings, MISST data shows a tendency for negative bias, warranting further exploration.

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Evaluation of MISST SST Satellite Product for Enhancing HYCOM Hindcast Sea Level Temperature

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  1. Evaluation of the MISST SST satellite product as a potential observational dataset for HYCOM hindcast SLT TOURNIER Emmanuel (visitor) Eric CHASSIGNET

  2. OUTLINE • Motivation • Model: • HYCOM (HYbrid Coordinate Ocean Model) • Datasets: • MISST (Multi-sensor Improved Sea Surface Temperature) • NDBC (National Data Buoy Center) • Results • Discussion and conclusion

  3. Aim of my study : • To know if the new SST satellite product MISST could improve HYCOM, if HYCOM assimilated it. • Why? • MISST is new dataset and HYCOM assimilate older satellite data

  4. Method To compare HYCOM outputs and MISST dataset using independent data (NDBC buoys data) The study is a statistical one, leads over one year for several locations

  5. HYCOM (HYbrid Coordinate Ocean Model) • Global ocean model, 1/12° horizontal resolution • Currently, HYCOM assimilates the SST dataset from the satellite AVH-RR (Infra-red, resolution 9 km) through NCODA

  6. MISST (Multi-sensor Improved Sea Surface Temperature) • New project with 2 main objectives : • to produce an improved, high-resolution, global, NRT SST analysis using IR and MW satellites. • to demonstrate the impact of these improved SSTs on operational ocean models, numerical weather prediction, and tropical cyclone intensity forecasting.

  7. MISST data From website : “http://misst.org”

  8. NDBC (National Data Buoy Center) From website : “http://www.ndbc.noaa.gov/” - SST measured at the depth of 1m, every hour - Latitude and longitude given

  9. SST time series for year 2006 at location buoy # 42003 HYCOM MISST NDBC

  10. ANalysis Of VAriance (ANOVA) Trend : For each season, HYCOM mean better matches with NDBC mean than MISST In some cases, MISST mean is significantly different from NDBC Buoy # 42001 Buoy # 42003

  11. Linear regression for residual The residual is the SST difference between each day and the average over the week. Buoy # 42001 Relationship : HYCOM has a better slope, but not always. Buoy # 42003

  12. SST difference buoy # 42001 buoy # 42002

  13. Conclusion & discussion • No major difference between HYCOM outputs and MISST data • Seasonal mean SST from HYCOM is closer to the NDBC data • MISST data tend to have negative bias compared to the NDBC data • Comparison directly between AVH-RR and MISST could be interesting • Compare HYCOM with others MISST products when available

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