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SLT TOURNIER Emmanuel (visitor) Eric CHASSIGNET

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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)

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Presentation Transcript
slide1

Evaluation of the MISST SST satellite product as a potential observational dataset for HYCOM hindcast

SLT TOURNIER Emmanuel (visitor)

Eric CHASSIGNET

outline
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
slide3
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
method
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

hycom
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
misst
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.
misst data
MISST data

From website : “http://misst.org”

slide8
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

analysis of variance anova
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

linear regression for residual
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

sst difference
SST difference

buoy # 42001

buoy # 42002

conclusion discussion
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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