1 / 13

SLT TOURNIER Emmanuel (visitor) Eric CHASSIGNET

Evaluation of the MISST SST satellite product as a potential observational dataset for HYCOM hindcast. SLT TOURNIER Emmanuel (visitor) Eric CHASSIGNET. OUTLINE. Motivation Model: HYCOM (HYbrid Coordinate Ocean Model) Datasets: MISST (Multi-sensor Improved Sea Surface Temperature)

Download Presentation

SLT TOURNIER Emmanuel (visitor) Eric CHASSIGNET

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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

More Related