d evelopment of a regional coupled ocean-atmosphere model

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1 Development of a Regional Cou pled Ocean-Atmosphere Model Hyodae Seo, Arthur J. Miller, John O. Roads, and Masao Kanamitsu Scripps Institution of Oceanography 6th Conference on Coastal Atmospheric and Oceanic Prediction and Processes 85th AMS Annual Meeting January 11, 2005, San Diego 2.2

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2.2. D evelopment of a Regional Coupled Ocean-Atmosphere Model. Hyodae Seo, Arthur J. Miller, John O. Roads, and Masao Kanamitsu Scripps Institution of Oceanography. 6th Conference on Coastal Atmospheric and Oceanic Prediction and Processes - PowerPoint PPT Presentation

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Page 1: D evelopment of a Regional Coupled  Ocean-Atmosphere Model

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Development of a Regional Coupled Ocean-Atmosphere Model

Hyodae Seo, Arthur J. Miller, John O. Roads, and Masao Kanamitsu

Scripps Institution of Oceanography

6th Conference on Coastal Atmospheric and Oceanic Prediction and Processes

85th AMS Annual Meeting January 11, 2005, San Diego

2.2

Page 2: D evelopment of a Regional Coupled  Ocean-Atmosphere Model

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Development of a coupled model system to study air-sea interaction processes

to improve ocean-atmosphere prediction

TODAY (Preliminary Results):

What are some effects of evolving SST on the coupled model fluxes?

RESULTS TO BE PRESENTED:SST spatial structures are clearly seen in the flux fields.SST affects shortwave fluxes (cloudiness) in the summer.SST tendency is strongly correlated with latent heat flux anomaly in summer. - Related to observational studies: Ronca and Battisti (J. Climate,1997), Chelton et al. (Science,2004)

Introduction

Page 3: D evelopment of a Regional Coupled  Ocean-Atmosphere Model

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Outline

1. Description of Regional Coupled Ocean-Atmosphere Model and Experiments

2. Interaction of the Atmospheric and Oceanic Response

- Co-variability of SST anomaly (and its tendency)

with components of heat flux anomalies (cf. Ronca and Battisti, 1997)

3. Conclusion and Future Work

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Regional Coupled Ocean-Atmosphere Model

Winds relative to currents

The RSM is nested within the Global

Spectral Model (GSM).

Physics and dynamics are consistent with the NCEP/DOE reanalysis

model.

Regional Spectral Model

(RSM, 20km)

IC and Lateral BC: Reanalysis

Primitive equation ocean model

Generalized-sigma vertical coordinate

Radiation and flow-adaptive nudging for

open boundaries

Regional Ocean Modeling System (ROMS, 12km)

Lateral BC:Levitus T/S Climatology

net heat flux freshwater flux

windstress

SST

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Model Domain and Experiment

Pt. ReyesSierra-Nevada

San Diego

Pt. Sur

Continental Shelf

Pt. Conception

+2000m

-4000m

Northeastern Pacific

Model Run from 1996 to 2003 with Daily Coupling of Forcings.

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Interannual Variability of SST

-Upwelling filaments in SST occur north of Pt. Conception

-Mesoscale eddies and meanders of the CCS generate strong SST gradients

Do these mesoscale SST features affect the local atmospheric boundary layer?

Snapshots of Averaged SST of May 10 - 14, 1998-2003

1998 1999 2000

2001 2002 2003

SST (°C)

Upwelling Filaments

Mesoscale Eddy

CCS

Pt. Conception

Pt. Reys

209

Pt. Sur

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SST Patterns in Heat Flux and Wind Stress Fields Example: May 10-14, 1999

SURFACE

FLUXES

OCEANIC VARIABLES

How do the ocean fields and surface fluxes covary?

26.4 Isopycnal Depth(m)

Net Surface Heat Flux (W/m2 ) Windstress Curl (N/m3 )

SST (°C)

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Net Heat Flux Components for 10-14, May, 1999

Shortwave Radiation Longwave Radiation

Latent Heat Sensible Heat

Net Heat Flux (W/m2 )

Net Heat Flux = Shortwave + Longwave + Latent + Sensible

SST

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Covariance of SST tendency with each heat flux in Summer months

Local NC of dSST’/dt with latent heating

NC of dSST’/dt for 2 regions

Norm

alized

C

ovariance

• ••• • •

shortwave longwave latent sensible

NC =

Normalized Covariance (NC)

Summer months (JJASO) of 5 day-averaged 7-year data (monthly mean removed)

Ronca and Battisti: Latent heat flux significantly covaries with windspeed.

Page 10: D evelopment of a Regional Coupled  Ocean-Atmosphere Model

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Covariance of SST and each heat flux in Summer months

4

1

2/12''

''

])([i

i

i

lh

SSTQ

SSTQNC =

Normalized Covariance (NC)

Local NC of SST’ with each component

shortwave Sensible heat

NC of SST’ for 2 regions

Norm

alized

Covarian

ce

•• •

• ••

shortwave longwave latent sensible

Negative correlation of SST with cloudiness in summer

-(Klein and Hartmann(1993), Norris and Leovy(1994))

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Conclusion

1. SST spatial structures are clearly seen in the flux fields.

2. SST tendency is strongly correlated with latent heat flux in summer month (in spite of mesoscale eddy signatures in SST)

3. SST affects solar heating flux through cloudiness in the summer months.

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- Future Work

Include ocean currents in calculation of coupled model windstress

Replace climatological boundary condition with ocean analysis

Multi-nesting coupled modeling

Thank you!

Future Work