ocean-atmosphere interaction in the eastern pacific ......toga-coare bulk formula plus, winds...

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Ocean-Atmosphere Interaction in the Eastern Pacific; Coupled Modeling Study Hyodae Seo, Arthur J. Miller, John O. Roads Scripps Institution of Oceanography [email protected] A high-resolution ocean model (ROMS) has been coupled to regional atmospheric model (RSM) to understand small-scale air-sea interaction process. Using the coupled modeling system, various aspects of ocean- atmosphere coupling in the eastern Pacific and the tropical Atlantic ocean are under investigation. This poster illustrates a few examples on air-sea interactions near the tropics and in the midlatitude ocean of the eastern Pacific. IC and Lateral BC: NCEP/DOE Reanalysis Lateral BC: Ocean Analysis (JPL) SST TOGA-COARE Bulk Formula Plus, Winds relative to ocean currents Regional Spectral Model (RSM) Regional Ocean Modeling System (ROMS) Boundary Layer Variables Ocean Atmosphere Snapshot of SST and wind-stress on Nov. 11, 1999 in the eastern Tropical Pacific ocean domain by coupled model. Figure illustrates clear signal of equatorial cold tongue and TIWs near the equator, and gap-wind induced cold tongue near Gulf of Tehuantepec, hint of Costa Rica Dome near the Gulf of Papagayo. Air-Sea Interaction in the Eastern Pacific Coupled Modeling System Introduction Gap Winds and Air-Sea Interaction (25km ROMS and 28km RSM) Air-Sea Interaction over TIWs (20km ROMS + 30km RSM) 1. Air-Sea Interaction by Gap Winds in Central America 5-year model climatology clearly indicates that gap winds through Tehuantepec, Papagayo, and Panama exert Ekman forcing as well as wind- induced mixing and cooling on eastern Pacific warm pool. Cool region within warm pool in turn suppresses atmospheric deep convections and thus precipitation of comparable size but 2 seasons later within ITCZ, as is observed by satellite (Xie et al., 2005). 2. 2.1 Atmospheric response to TIWs SST WS (N/m2) WSC (N/m2 per 10^4 km) LH (W/m^2) SST, wind-stress (WS), WS curl (WS Curl), and latent heat (LH) flux from June to October in 1999 by coupled model. TIW-induced SST leads to modification in wind-stress and its derivatives (Chelton et al. 2001 ) as well as turbulent flux fields (Thum et al., 2002); WS is in phase, WSC in 90 degree out of phase, LH is 180 degree in phase with SST. Effect of Atmospheric Feedback on characteristics of TIWs. DYNM: 1-year run of ROMS with RSM wind- stress and climatological heat flux; THERM:1-year run of ROMS with RSM heat flux and climatological wind-stress; CPL: 1-year run of ROMS with RSM wixxnd-stress and heat flux; The 1 st EOFs (2 nd EOFs are in 90 out of phase with similar variance explained) show that turbulent flux provides damping on TIW-induced SSTs (Chelton et al., 2004, Xie et al., 2004), while wind-stress leads to amplification of TIWs; CPL shows intermediate intensity. Different atmospheric feedback also influences on the period, phase-speed, and initiation time of TIWs; heat flux produces TIWs earlier with shorter period (less than 30days) but more (~7) mostly east of 115W, while wind-stress produces 5 strong TIWs. Again, full coupling has intermediate characteristics of TIWs (cf. Pezzi et al., 2004). Air-Sea coupling in southern California coastal ocean. SST (°C) WS Curl (N/m2 per 10^4 km) WS Div N/m2 per 10^4 km) LH (W/m^2) Effect of SST gradient on surface winds and turbulent flux fields are also evident over California coastal ocean on various spatial and temporal scales. Over short-lived cold filament off Pt. Reys, wind-stress curl (divergence) follow isotherms where wind-stress are parallel (perpendicular) to them (Chelton et al. 2001). The same patterns are observed over meander of current and associated meso-scale oceanic eddies (more evident in longer time mean, not shown). Cold Filament Meander and eddy Conv. (Div.) upwind (downwind) of cold filament Conv. (Div.) upwind (downwind) of meso- scale eddy Positive/Nega tive WS-curl along the isotherms Negative feedback by turbulent heat flux 2.2 1. CPL EOF 1 Var=13.3% DYNM EOF 1 Var=12.5% THERM EOF 1 Var=11.3% PC 1 3. Winter Ekman Pumping Velocity (N/m^2 per 10^4km) SST (°C) Precipitation (mm/day) Cold tongue; Shoaling of thermocline Dry Regions within ITCZ Ekman Upwelling Ekman Downwelling Summer Tehuantepec Papagayo Panama

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Page 1: Ocean-Atmosphere Interaction in the Eastern Pacific ......TOGA-COARE Bulk Formula Plus, Winds relative to ocean currents Regional Spectral Model (RSM) Regional Ocean Modeling System

Ocean-Atmosphere Interaction in the Eastern Pacific;Coupled Modeling Study

Hyodae Seo, Arthur J. Miller, John O. RoadsScripps Institution of Oceanography

[email protected]

A high-resolution ocean model (ROMS) has been coupled to regionalatmospheric model (RSM) to understand small-scale air-sea interactionprocess. Using the coupled modeling system, various aspects of ocean-atmosphere coupling in the eastern Pacific and the tropical Atlantic ocean areunder investigation. This poster illustrates a few examples on air-seainteractions near the tropics and in the midlatitude ocean of the easternPacific.

IC and Lateral BC:NCEP/DOE Reanalysis

Lateral BC: OceanAnalysis (JPL)

SST

TOGA-COAREBulk Formula

Plus, Windsrelative to ocean

currents

RegionalSpectral Model

(RSM)

Regional OceanModeling

System (ROMS)

Boundary LayerVariables

OceanAtmosphere

Snapshot of SST and wind-stress on Nov. 11, 1999 in the eastern TropicalPacific ocean domain by coupled model. Figure illustrates clear signal ofequatorial cold tongue and TIWs near the equator, and gap-wind induced coldtongue near Gulf of Tehuantepec, hint of Costa Rica Dome near the Gulf ofPapagayo.

Air-Sea Interaction in the Eastern Pacific

Coupled Modeling System

Introduction

Gap Winds and Air-SeaInteraction (25km ROMSand 28km RSM)

Air-Sea Interactionover TIWs (20kmROMS + 30km RSM)

1.

Air-Sea Interaction by Gap Winds in Central America

5-year model climatology clearly indicates that gap winds throughTehuantepec, Papagayo, and Panama exert Ekman forcing as well as wind-induced mixing and cooling on eastern Pacific warm pool. Cool region withinwarm pool in turn suppresses atmospheric deep convections and thusprecipitation of comparable size but 2 seasons later within ITCZ, as is observedby satellite (Xie et al., 2005).

2.

2.1 Atmospheric response to TIWsSST WS (N/m2)

WSC(N/m2 per 10^4 km)

LH(W/m^2)

SST, wind-stress (WS), WS curl (WS Curl), and latent heat (LH) flux fromJune to October in 1999 by coupled model. TIW-induced SST leads tomodification in wind-stress and its derivatives (Chelton et al. 2001 ) as well asturbulent flux fields (Thum et al., 2002); WS is in phase, WSC in 90 degreeout of phase, LH is 180 degree in phase with SST.

Effect of Atmospheric Feedback on characteristics of TIWs.

DYNM: 1-year run ofROMS with RSM wind-stress and climatologicalheat flux;

THERM:1-year run ofROMS with RSM heatflux and climatologicalwind-stress;

CPL: 1-year run ofROMS with RSMwixxnd-stress and heatflux;

The 1st EOFs (2nd EOFs are in 90 out of phase with similar varianceexplained) show that turbulent flux provides damping on TIW-induced SSTs(Chelton et al., 2004, Xie et al., 2004), while wind-stress leads to amplificationof TIWs; CPL shows intermediate intensity. Different atmospheric feedbackalso influences on the period, phase-speed, and initiation time of TIWs; heatflux produces TIWs earlier with shorter period (less than 30days) but more(~7) mostly east of 115W, while wind-stress produces 5 strong TIWs. Again,full coupling has intermediate characteristics of TIWs (cf. Pezzi et al., 2004).

Air-Sea coupling in southern California coastal ocean.SST (°C) WS Curl (N/m2 per 10^4 km)

WS Div N/m2 per 10^4 km) LH (W/m^2)

Effect of SST gradient on surface winds and turbulent flux fields are alsoevident over California coastal ocean on various spatial and temporal scales.Over short-lived cold filament off Pt. Reys, wind-stress curl (divergence) followisotherms where wind-stress are parallel (perpendicular) to them (Chelton et al.2001). The same patterns are observed over meander of current and associatedmeso-scale oceanic eddies (more evident in longer time mean, not shown).

ColdFilament

Meanderand eddy

Conv. (Div.) upwind(downwind) of coldfilament

Conv. (Div.) upwind(downwind) of meso-scale eddy

Positive/Negative WS-curlalong theisotherms

Negativefeedbackbyturbulentheat flux

2.2

1.

CPL EOF 1 Var=13.3% DYNM EOF 1 Var=12.5%

THERM EOF 1 Var=11.3% PC 1

3.Winter

Ekman Pumping Velocity(N/m^2 per 10^4km) SST (°C)

Precipitation(mm/day)

Coldtongue;Shoaling ofthermocline

Dry RegionswithinITCZ

EkmanUpwelling

EkmanDownwelling

Summer

TehuantepecPapagayo

Panama