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R/V Revelle over Kuroshio Extension, May

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University of Hawaii at Manoa ... Altimeter-derived rms sea surface height ... and causes a delayed weakening of the zonal KE jet and a southerly path shift. ... – PowerPoint PPT presentation

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Title: R/V Revelle over Kuroshio Extension, May


1
Dynamic and Thermodynamic Variability of the
Kuroshio Extension System on Decadal Timescales
B. Qiu, S. Chen and P. Hacker Department of
Oceanography University of Hawaii at Manoa
R/V Revelle over Kuroshio Extension, May05
2
Altimeter-derived rms sea surface height
variability (cm)
Schematic of NW Pacific Ocean Circulation
3
Semi-monthly Kuroshio Extension paths (1.7m SSH
contours)
Stable yrs 1993-94, 2002-04
Unstable yrs 1996-2001, 2006-
4
KE path length
Level of EKE
Stable yrs 1993-94, 2002-04
Unstable yrs 1996-2001, 2006-
5
  • Q1 What causes the transitions between the
    stable and unstable dynamic states of the KE
    system?

6
PDO index
EKE level
Mesoscale EKE level in the KE region lags the PDO
index by 4 yrs
7
Pacific Decadal Oscillations (Mantua et al. 1997)
  • 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)

8
EKE level
SSHA along 34N
SSH field
PDO index
L
H
L
145E
165E
155E
135E
center of PDO forcing
9
SSH variability vs wind stress forcing
10
SSHA along 34N
PDO index
Wind-forced SSHA along 34N
L
H
L
center of PDO forcing
11
  • Q1 What causes the transitions between the
    stable and unstable dynamic states of the KE
    system?
  • Q2 Does the nonlinear WBC dynamics play a role
    in the observed KE variability?

12
Feedback of eddies to the modulating time-mean
flow
  • Surface ocean vorticity equation

eddy-driven mean flow modulation
  • Evaluate

mechanical feedback of eddies onto the
slowly-varying mean SSH field (e.g. Hoskins et
al. 1983, JAS)
  • Regress S(x,y,T) field to the observed EKE time
    series

13
Eddy-forced S(x,y,T) field regressed to the EKE
time series
contours mean SSH field
  • anticyclonic forcing vs . cyclonic forcing
  • In the upstream KE region, enhanced eddy
    variability works to increase the intensity of
    the southern RG.
  • Enhanced eddy variability strengthens the two
    quasi-stationary meanders (cf. Rossby lee-wave
    dynamics)

14
KE path length
Level of EKE
RG strength
Stable yrs 1993-94, 2002-04
Unstable yrs 1996-2001, 2006-
15
Yearly-mean sea surface height field
16
  • Q1 What causes the transitions between the
    stable and unstable dynamic states of the KE
    system?
  • Q2 Does the nonlinear WBC dynamics play a role
    in the observed KE variability?
  • Q3 How does the decadal KE variability affect
    the regional upper ocean thermal structures?

17
T, s? and PV sections across the KE jet along
146E
05/2004 KESS cruise
Subtropical Mode Water
potential temp 16-18C
potential density 25.2-25.5 s?
potential vorticity Qlt2x10-10
18
T(z,t)
MLD
Q(z,t)
(based on available XBT, CTD, Argo, KESS data
inside RG)
19
NCEP wintertime Qnet anomalies in the KE/RG region
less cooling
more cooling
20
Late winter MLD vs. Qnet anomalies
less cooling
more cooling
21
(No Transcript)
22
Late winter MLD vs. Qnet anomalies
Late winter MLD vs. KE path length in the
previous year
23
Pre-conditioning vs. convective depth
  • Let the fall season upper ocean stratification
    be and let surface cooling be .

N
Q(t)lt0
  • The convective depth in this case can be
    estimated from conservation of heat

D
z
Q(t)
D
T(z)
Convective depth (i.e., wintertime STMW
thickness) depends not only on the cumulative
heat loss, but also on the pre-conditioning
stratification.
24
s? and PV sections across the KE jet along 146E
When KE is in the unstable state,
lateral/isopycnal mixing of high-PV KE water into
the RG can inhibit the STMW formation through
pre-conditioning.
25
Quantifying the relative importance of
pre-conditioning vs air-sea flux forcing in
determining the late winter MLD
full forcing
oceanic forcing
atmos. forcing
Oceanic forcing 80 of the variance Atmospheric
forcing 13 of the variance
  • Full forcing run Initialize 1-D PWP model with
    observed fall N(z) profile daily
    NCEP flux forcing
  • Oceanic forcing run Surface flux forcing
    replaced by climatological fluxes
  • Atmosphere forcing run Initial N(z) replaced by
    climatological fall profile

26
Lateral Watermass Property Exchange Occurs
Efficiently
KESS period
KESS captured the transition from a stable to an
unstable state.
27
PV values on 25.4 s? surface (250m, STMW core)
28
T(z) and PV(z) evolution in the KE recirculation
gyre
mixed layer depth
subtropical mode water
KESS period
29
Summary
  • The observed Kuroshio Extension system oscillates
    between a stable and unstable dynamic state with
    a period of 10 years.
  • Transitions between the two dynamic states are
    initiated by wind-induced SSH anomalies
    associated with the PDOs and originate in the
    central N. Pacific.
  • When PDO forcing is , enhanced Ekman pumping
    generates SSHAs and causes a delayed weakening
    of the zonal KE jet and a southerly path shift.
  • By interacting with the shallow Shatsky Rise, the
    southerly KE jet increases the eddy variability
    and this works to strengthen the RG and enhance
    the amplitude of the decadally-modulating KE
    system.
  • Decadal KE variability effectively changes the
    regional upper ocean thermal structures through
    either direct property exchange or
    pre-conditioning.

30
  • Q1 What causes the transitions between the
    stable and unstable dynamic states of the KE
    system?
  • Q2 Does the nonlinear WBC dynamics play a role
    in the observed KE variability?
  • Q3 How does the decadal KE variability affect
    the regional upper ocean thermal structures?
  • Q4 Is the decadal KE variability merely a
    forced response of the midlatitude basin-scale
    atmospheric forcing?

31
Yearly SSH anomaly field in the North Pacific
Ocean


-
32
Shatsky Rise
33
EKE level
SSHA along 34N
34
PDO-NPGO linear correlation -0.29
(monthly) -0.51 (interannual)
35
PDO- vs NPGO-Forcing of SSHAs in a 1st-order AR
Model (1992-2008 AVISO period)
36
2004
Kuroshio Extension System Study Observing
Array/Timeline
20 floats 28 floats
UH-KESS profiling float measurements
2005
1500db
5 days
37
Distributions of semi-monthly profiling float
data
(5-day repeat all KESS float data are part of
the global Argo dataset)
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