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

SLT TOURNIER Emmanuel (visitor)

Eric CHASSIGNET


Outline
OUTLINE observational

  • Motivation

  • Model:

    • HYCOM (HYbrid Coordinate Ocean Model)

  • Datasets:

    • MISST (Multi-sensor Improved Sea Surface Temperature)

    • NDBC (National Data Buoy Center)

  • Results

  • Discussion and conclusion


  • Aim of my study : observational

    • 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 observational

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 observational

(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 observational

(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 observational

From website : “http://misst.org”


NDBC observational

(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) observational

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 observational

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 observational

buoy # 42001

buoy # 42002


Conclusion discussion
Conclusion & discussion observational

  • 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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