Convection process in the North Pacific from ARGO data
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Transcript of Convection process in the North Pacific from ARGO data
Convection process in the North Pacific from ARGO data
1Eunjeong Lee, Yign Noh, 2Bo Qiu
1Department of atmospheric sciences, Yonsei University
2Department of Oceanography, University of Hawaii
Department of Atmospheric Sciences, Yonsei University
Contents
• Objective
• About ARGO
• Data analysis
- ARGO
- NCEP/NCAR reanalysis I• Results
PartⅠ - Response of the ocean to the surface cooling - Deepening of MLD - In the KE region (Eddy process)
PartⅡ - Correlation - Efficiency (deepening, heating & cooling)• Conclusion
Department of Atmospheric Sciences, Yonsei University
Objective
• Analysis of the convection process in the upper ocean to the
atmospheric forcing using ARGO data
- How are the variations of the MLD and SST related to the surface
forcing?
i) Understanding the air-sea interaction in the North Pacific
ii) Providing the information for the parameterization of
convection in the mixed layer model
Department of Atmospheric Sciences, Yonsei University
About ARGO
• Profile data, metadata, trajectories and technical data
• An ascending profile with measurements
(e.g. pressure, temperature, salinity)
• Data mode (e.g. R : Real time, D : Delayed mode, A : adjusted values)
• Quality control (e.g. 1:good data, 4:bed data, 9:missing value)
Position of float Processing
Department of Atmospheric Sciences, Yonsei University
Data analysis : ARGO
Area : North Pacific (130-240˚E, 20-60˚N)
0-500m depth
Period : 2001 - 2007
27 different locations
• Data processing
- use data with quality control 1 or 2.
- semi-monthly averaging
- mixed layer depth : z = z [T(0)-0.5]
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• Surface heat flux
LSLWSWNET QQQQQ
fluxheatlatentandsensibleQQ
fluxheatradiationlongwaveandsolarwaveQQ
fluxheatnetQ
LS
LWSW
NET
:,
:,
:
Data analysis : NCEP data
– (+) : direction from atmosphere to ocean
• Data processing
– semi-monthly averaging
– 2001-2007 data on an average compare with each year value
• NCEP reanlaysis I – surface heat flux, SST
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Part Ⅰ : Response of the ocean to the surface cooling
2005-2006 년
• 135-140˚E, 28-30˚N2005-2006 년
• 150-155˚E, 28-30˚N
Location
Heat Flux
SST
MLD
Reduce
Mean Each year
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Part Ⅰ : Deepening of MLD in winter
2005-2006 년2004-2005 년
135-140˚E, 28-30˚N
Location
Heat Flux
SST
MLD
slower deepening faster deepening
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Part Ⅰ : Deepening of MLD in winter
2002-2003 년2003-2004 년
175-180˚W, 42-44˚N
Location
Heat Flux
SST
MLD
Insensitive to surface heat flux
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The KE region
• Near 145˚E, 35˚N
• High T & S (20°, 34.5‰), 50~300m/s velocity
• Eddy process
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The KE region
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PDO index
EKE level
• Center of action of wind forcing is in the eastern half of the N Pacific basin
• Positive (negative) phase of PDO generates – (+) local SSH through Ekman divergence (convergence)
[Qiu et al.(2008)]
Part Ⅰ : Eddy process
2005-2006 년2004-2005 년
145-150˚E, 32-34˚N
Location
Heat Flux
SST
MLD
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Part Ⅰ : Eddy process
2005-2006 년
Kuroshio Extension
• 155-160˚E, 32-34˚N
Location
MLD
the effect of internal ocean dynamics is important
→ eddy process
Eddy processing
interrupt
MLD deepening
Due to eddy processing
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d(MLD) vs. Qdt[225-230 lon, 50-52 lat]
d(MLD) [m]
-150 -100 -50 0 50 100 150
Qd
t [W
/m2
]
-4000
-3000
-2000
-1000
0
1000
2000
3000
4000
JAN & FEBMAY & JUNJUL & AUGNOV & DEC
d(SST) vs. Qdt[225-230 lon, 50-52 lat]
d(SST) [C]
-4 -3 -2 -1 0 1 2 3 4
Qd
t [W
/m2
]
-4000
-3000
-2000
-1000
0
1000
2000
3000
4000
JAN & FEBMAY & JUNJUL & AUGNOV & DEC
SST vs. MLD[225-230 lon, 50-52 lat]
SST [C]
0 2 4 6 8 10 12 14 16 18 20
ML
D [
m]
50
100
150
200
250
300
350DECJANFEBMAR
Part Ⅱ : Relation
•130-135˚W, 50-52˚N
No horizontal advection
d(MLD)&Qdt
d(SST)&Qdt SST&MLD
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d(MLD)=MLD(t+15)-MLD(t)
d(MLD) vs. Qdt[155-160 lon, 32-34 lat]
d(MLD) [m]
-150 -100 -50 0 50 100 150
Qdt [W
/m2]
-8000
-6000
-4000
-2000
0
2000
4000JAN & FEBMAY & JUNJUL & AUGNOV & DEC
SST vs. MLD[155-160 lon, 32-34 lat]
SST [C]
0 2 4 6 8 10 12 14 16 18 20
ML
D [m
]
50
100
150
200
250
300
350DECJANFEBMAR
d(SST) vs. Qdt[155-160 lon, 32-34 lat]
d(SST) [C]
-4 -3 -2 -1 0 1 2 3 4
Qd
t [W
/m2
]
-8000
-6000
-4000
-2000
0
2000
4000
JAN & FEBMAY & JUNJUL & AUGNOV & DEC
d(SST) vs. Qdt[155-160 lon, 32-34 lat]
d(SST) [C]
-4 -3 -2 -1 0 1 2 3 4
Qd
t [W
/m2
]
-8000
-6000
-4000
-2000
0
2000
4000
JAN & FEBMAY & JUNJUL & AUGNOV & DEC
Part Ⅱ : Relation
•155-160˚E, 32-34˚N
d(SST)&Qdt
d(MLD)&Qdt
SST&MLD
horizontal advection
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• Strong heating→strong stratification
→ shallower MLD
• Weak correlation in the KE region duo to advection effect
• d(MLD) & Qdt
Part Ⅱ : Correlation
JUL & AUGMAY & JUN
• Already shallow MLD
→ no longer weakening of MLD
d(SST)Qdt
-0.8 -0.5-0.6 -0.4 -0.2-0.3 -0.1 -0.05 0 0.1 0.2 0.3 0.50.4 0.6 0.80.05
summer
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• d(MLD) & Qdt
Part Ⅱ : Correlation
-0.8 -0.5-0.6 -0.4 -0.2-0.3 -0.1 -0.05 0 0.1 0.2 0.3 0.50.4 0.6 0.80.05
Early summer
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Strong eddyWeak eddy
• Strong cooling →weak stratification
→ rapid convective deepening
• Weak correlation in the KE region duo to advection effect
• d(MLD) & Qdt
Part Ⅱ : Correlation
JAN & FEBNOV & DEC
• Already deep MLD
→ no longer deepening of MLD
: Maximum MLD is insensitive to surface cooling
d(SST)Qdt
-0.8 -0.5-0.6 -0.4 -0.2-0.3 -0.1 -0.05 0 0.1 0.2 0.3 0.50.4 0.6 0.80.05
winter
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• d(MLD) & Qdt
Part Ⅱ : Correlation
-0.8 -0.5-0.6 -0.4 -0.2-0.3 -0.1 -0.05 0 0.1 0.2 0.3 0.50.4 0.6 0.80.05
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Early winter
Strong eddyWeak eddy
• Deepening efficiency
Part Ⅱ : Deepening efficiency
Qdt
MLDd )(
Department of Atmospheric Sciences, Yonsei University
• Overall positive efficiency
• Deepening efficiency
Part Ⅱ : Deepening efficiency
JAN & FEBNOV & DEC
11
12
-0.02 -0.01 -0.005-0.007 -0.004 -0.003 -0.002 0.001 0.007 0.02-0.001 0.010.002 0.003 0.004 0.0050
• Negative efficiency in the KE region
• Stronger efficiency than NOV& DEC except KE region
winter
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• Heating(Cooling) efficiency
Part Ⅱ : Heating(Cooling) efficiency
Qdt
SSTd )(
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• Heating efficiency
Part Ⅱ : Heating(Cooling) efficiency
MAY & JUN
summer
JUL & AUG
Low heating efficiencyAdvection + heating effect
11
12
-0.02 -0.01 -0.005-0.007 -0.004 -0.003 -0.002 0.001 0.007 0.02-0.001 0.010.002 0.003 0.004 0.0050
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• Cooling efficiency
Part Ⅱ : Heating(Cooling) efficiency
JAN & FEB
winter
NOV & DEC
Advection + heating effectAdvection + cooling effect Low cooling efficiency
11
12
-0.02 -0.01 -0.005-0.007 -0.004 -0.003 -0.002 0.001 0.007 0.02-0.001 0.010.002 0.003 0.004 0.0050
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Conclusion
• The response of the ocean mixed layer and sea surface temperature to
surface forcing in the Pacific was investigated by analyzing ARGO data.
The d(SST) and d(MLD) has high correlation and efficiency with surface
cooling except in the KE region in early summer and winter.
The d(MLD) are more sensitive to the surface heat flux in late summer and
winter.
The initial convective deepening shows large variability, but the maximum
MLD does not show much variability.
In the KE region,
- the MLD increase is interrupted by mesoscale eddies
- the heat transport by the Kuroshio is important to determine SSTDepartment of Atmospheric Sciences, Yonsei University
Reference
• Argo Data Management Team (2004), Argo quality control manual, version 2.0b, p. 23, Argo Data Manage., Toulouse, France.
• Kalnay, E., M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen, Y. Zhu, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K. C. Mo, C. Ropelewski, J. Wang, A. Leetmaa, R. Reynolds, R. Jenne, and D. Joseph (1996), The NCEP/NCAR 40-Year Reanalysis Project, Bull. Am. Meteorol. Soc., 77, 437- 471.
• Qiu, B., S. Chen, and P. Hacker (2007), Effect of mesoscale eddies on Subtropical Mode Water variability from the Kuroshio Extension System Study (KESS), J. Phys. Oceanogr., 37, 982-1000.
Department of Atmospheric Sciences, Yonsei University
Thank you
Department of Atmospheric Sciences, Yonsei University
(a) Upstream KE path length (141-153°E)
(b) Eddy kinetic energy (141-153°E, 32-38°N)
Stable yrs: 1993-94, 2002-04
Unstable yrs: 1996-2001, 2006-07