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Last sixty years of mixed layer depth variability in the southern Bay of Biscay . Deepening of winter MLDs concurrent to generalized upper water warming trends?. R. Somavilla , C. González-Pola , M. Ruiz-Villarreal and A. Lavín. r [email protected]. - PowerPoint PPT Presentation
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LAST SIXTY YEARS OF MIXED LAYER DEPTH VARIABILITY IN THE SOUTHERN BAY OF BISCAY.
DEEPENING OF WINTER MLDS CONCURRENT TO GENERALIZED UPPER WATER WARMING TRENDS?
R. Somavilla, C. González-Pola, M. Ruiz-Villarreal and A. Lavín
LAST SIXTY YEARS OF MIXED LAYER DEPTH VARIABILITY IN THE SOUTHERN BAY OF BISCAY.
DEEPENING OF WINTER MLDS CONCURRENT TO GENERALIZED UPPER WATER WARMING TRENDS?
R. Somavilla, C. González-Pola, M. Ruiz-Villarreal and A. Lavín
LAST SIXTY YEARS OF MIXED LAYER DEPTH VARIABILITY IN THE SOUTHERN BAY OF BISCAY.
DEEPENING OF WINTER MLDS CONCURRENT TO GENERALIZED UPPER
WATER WARMING TRENDS?
R. Somavilla, C. González-Pola, M. Ruiz-Villarreal and A. Lavín
Introduction
MLD
Atmosphere
Ocean Interior Heat Storage
Marine ecosystem and
Global biogeochemical cycles
Interannual √
Seasonal √
Daily √
…
Long term
variability?
In this work:
Introduction
MLD
Atmosphere
Ocean Interior
Heat Storage
Marine ecosystem and
Global biogeochemical cycles
Interannual √
Seasonal √
Daily √…
Long term
variability?
1. Long term hydrographic time-series.
2.Upper ocean vertical structure climatology.
3. One dimensional water column model, GOTM model.
Interannual, seasonal and decadal MLD variability in the southern Bay of Biscay.
Fact: Upper layers of the North Atlantic are warming.
Long term warming trends
Arbic & Owens (2001) 0.005ºC/yr [1920s to 1990s]Levitus et. at. (2005) 0.006ºC/yr [1955 to 2003]Potter & Lozier (2004) MW 0.010 ºC/yr [1955 to 2003]
Introduction
Warming in the Eastern North Atlantic
Recent strong warm anomalies
Hollyday et. al (2008) Upp T > 0.1ºC from 2000Johnson & Gruber (2007) SPMW 0.7ºC 1993-2003Thierry et. al (2008) SPWW 1.4ºC 1996-2003González-Pola et al. ENACW and MW .0.30ºC 1994-2010
C. González Pola, A.Lavín, R.Somavilla, C.Rodriguez and E.Prieto
WATERS MASSES VARIABILITY FROM A MONTHLY HYDROGRAPHICAL TIMESERIES AT THE BAY
OF BISCAY
Introduction
http://www.seriestemporales-ieo.net/
http://www.vaclan.es/
http://www.boya_agl.ieo.es/
Figure 1. Position of the VACLAN/COVACLAN projects sections (white dots); correntimeter moorings (black asterisk); the Santander standard section (black dots); and AGL buoy (red dot) in the Bay of Biscay and Eastern Atlantic margin
Spanish Institute of Oceanography (IEO)Santander Observing System
This presentation will examine:
2. Simulation MLD variability 1995-2008 using climatological profiles.
I. Results
Introduction
Table 1. Resume of the forcings fields, data sets and time used for relaxation purposes and periods covered by the different simulations carried out.
Atmospheric forcing fields Relaxation
Period
Q0 and τ Q0 τ Time towards
Simulation
I.A I.B I.C 1 month Hydrographic time-series 1995-2008
II.A 6 months
Hydrographic time-series 1995-2008
II.B 6 months
Upper ocean climatology 1995-2008
III 6 months
Upper ocean climatology 1948-2008
Climatological profiles skills to reproduce MLD variability
Reconstruction past evolution of MLD variability
Prevailing factors governing MLD variability
AIMS:
1. MLD, upper waters and intermediate water mass variability 1994-2010.
This presentation will examine:
1. MLD, upper waters and intermediate water mass variability 1994-2010.
3. Results of the long-term run (19482008). Constrains and reliability
I. Results
4. Extreme winter mixing of 1963, 1965, 2005.
II. Discussion
III. Conclusions
Introduction
5. Low-frequency variability in MLD and large-scale atmospheric patterns.
6. Winter MLD deepening trends and warming tendencies in the Bay of Biscay?
2. Simulation MLD variability 1995-2008 using climatological profiles.
Results.
1. MLD, upper waters and intermediate water mass variability 1994-2010.
Fig. 3: (a) Temperature and (e) salinity upper layer temporal evolution from observations and from simulations I.A ((b) and (f)), I.B (c) and I.C (d). Black dots in (a) and (e) represent MLD estimation following the (Gonzalez-Pola et al., 2007) algorithm applied to IEOS6 and IEOS7
temperature proles. Black line in (b), (c), (d) and (f) indicates MLD estimated from GOTM model.
Convection processes dominate winter MLD
development
Wind stress-driven turbulence controls summer MLD
variability
Extreme winter mixing of 2005.
2006 re-emergence
Kantha & Clayson, 2002; Alexander et al., 2000
Reproduction of MLD seasonal cycle
W
inter ~ 2
00 m.
S
ummer ~ 3
0 m.
Prevailing factors governing MLD
variability
Convection + wind stress
No wind stress
No convection
Santander standard section
Results.
1. MLD, upper waters and intermediate water mass variability: Extreme winter mixing 2005
Figure 5. (a) Sequence of temperature profiles, color code follows the legend with the October 2006 to December 2007 period changing gradually from yellow to red. (b, c, d, e, f , g and h) Time series of average θ, depth of isopycnal, salinity, potential vorticity, nutrients and chlorophyll at different pressure and isopycnal levels.
c
w
cooling
warming
Figure 3. Potential temperature anomaly (θ) within themixed layer (100 dbar) in the Northeast Atlantic in spring
2005 from Argo floats.
Re-emergence mechanism from Deser et al. (2003).
Reference: Somavilla, R., C. González-Pola, C. Rodriguez, S. A. Josey, R. F. Sánchez, and A. Lavín (2009), Large changes in the hydrographic structure of the Bay of Biscay after the extreme mixing of winter 2005, J. Geophys. Res., 114, C01001, doi:10.1029/2008JC004974.
Results.
1. MLD, upper waters and intermediate water mass variability: Re-emergence mechanism 2006
East North Atlantic Central Water (ENACW). ~27.1-2 Pres ~ 350 dbarLower bound of ENACW (Sal Min). ~27.2-3 Pres ~ 500 dbarMediterranean Water (MW). ~27.3-27.6 Pres ~ 1000 dbar (core)Well sampled at the external station 7 (not conditioned by slope flows)
Lavín et. al. 2006
Results.
1. MLD, upper waters and intermediate water mass variability: Intermediate Water Masses. St7
It is possible to split changes at a fixed depth approximately in two main components (Levitus 1989, Bindoff & McDougall 1994, Arbic & Owens, 2001) :
1. Thermohaline properties variation at fixed isopycnal levels. Pure Warming//Freshening [air-sea fluxes variability]
2. Variations due to vertical displacement of isopycnal levels. Pure Heave [renewal rates, circulation changes]
Approximate expression:
Heating at isobaric levels “isobaric change”
Heating at isopycnal levels “isopycnal change”.Modification of the thermohaline structure of the water masses
Heating due to isopycnal level displacement “heave”.
‘Same water types’ but different proportions.
1
1
2
2
Results.
1. MLD, upper waters and intermediate water mass variability: Quantifying water masses changes
MW
Sal M
inEN
ACW
27.1-27.2 ➯ Significant and
progressive sinking until 2005. 27.3
stable.
Cooling pulse in 2009, back in 2010
27.2// 27.3 ➯ Strong reduction (~7 dbar
yr-1). This density level was getting
depleted. Restoration in 2005.
27.2// 27.3 2005 ➯
shift triggered a 2-yr
isopycnal warming.
Isopycnal cooling in
2009, back in 2010
Results.1. MLD, upper waters and intermediate water mass variability: Changes at isopycnals and isobars
MW
Sal M
inEN
ACW
Warming rates at all levels 0.010-0.030 ºC/yr.(~0.020 ºC/yr on average. 0.30ºC in 15 years).
Salinity increase ~0.06 in 15 years.
Results.
1. MLD, upper waters and intermediate water mass variability: Changes at isopycnals and isobars
1992 to 2005ENACW: ↑ Heave+isop. 4:1
+
Sal. Min. ↑ Heave
MW ↑ Isop.
2005 onwardsENACW: ↕Heave+isop.
↓ → ↑ Sal. Min. ↑ (↔) Isop
MW ↑↔ Isop
Results.1. MLD, upper waters and intermediate water mass variability: Overall View, S temporal evolution
Results.
2. Simulation MLD variability 1995-2008 using climatological profiles. Climatological
profiles skills to reproduce MLD
variability
Reproduction of MLD seasonal cycle
W
inter ~ 2
00 m.
S
ummer ~ 3
0 m.
Extreme winter mixing of 2005.
2006 re-emergence
√ Effect of large scale lateral advection in thermocline water properties and stratification X Inclusion of shelf break advective anomalies
Benefit for their use in studying the mixed layer along an
oceanic large-scale region
MLDHISTORICAL
RECONSTRUCTION AND FUTURE SCENARIOS
Climatological profiles
Discussion.3. Results of the long-term run (19482008). Constrains and reliability
Extreme winter mixing of 1963, 1965, and 2005Shallower MLD during the 70s and 80s
First questions
Reliability of atmospheric forcing???Reliability of atmospheric forcing √Climatological profiles based on temp.
profiles (1994 onwards) ????
Somavilla et al., 2009
Mean Winter Net Heat Loss 105 W·m-2
Mean Winter Net Heat Loss 90 W·m-2
Discussion.3. Results of the long-term run (19482008). Constrains and reliability.
Reliability of ‘climatological
profiles + NOAA SST decadal warming’
Discussion.4. Extreme winter mixing of 1963, 1965 and 2005
1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
0
50
100
150
200
250
300
350
ML
D(m
)
0
150
300ML
D (
m)
0
300
600
Net
hea
t los
s (W
·m-2
)
0
150
300ML
D (
m)
0
300
600
Net
hea
t los
s (W
·m-2
)
Nov Dec Jan Feb Mar Apr
0
150
300
Time (months)
ML
D (
m)
0
300
600
Net
hea
t los
s (W
·m-2
)
1963, 1965, 2005 similar accumulated buoyancy flux at the end of the winter
1965evenly distributed mixing
episodes
1963Extreme mixing episode
mid January: 761 W/m2
MLD from 70 to 150 meters
2005Extreme mixing episodes end January and February
764 W/m2
MLD from 150 to 330 metersMLD (black line) and net heat loss (blue solid line) during the winters of 1963, 1965 and 2005. Red dots represent MLD estimation following the Gonzalez-Pola
et al. [2008] algorithm applied to IEOS6 temperature profiles.
Somavilla et al., 2009
+ NAO index years
Subpolar gyreAnom. Q0 >0
Deepening trend in MLDColder SSTs
Western (BoB) & Eastern lobesAnom. Q0<0
Shallowing trend in MLDWarmer SSTs
Carton et al., 2008; Henson et al., 2009 Michaels et al., 1996; Paiva et al., 2002
Net heat loss anomaly in + and – NAO index years
Discussion.5. Low-frequency variability in MLD and large-scale atmospheric patterns.
Discussion.5. Low-frequency variability in MLD and large-scale atmospheric patterns.
- NAO index years
Subpolar gyreAnom. Q0<0
Shallowing trend in MLDWarmer SSTs
Western (BoB) & Eastern lobesAnom.Q0 >0
Deepening trend in MLDColder SSTs
Carton et al., 2008; Henson et al., 2009 Michaels et al., 1996; Paiva et al., 2002
Discussion.6. Winter MLD deepening trends and warming tendencies in the Bay of Biscay?
SST 1948-2008Modelled -0.019 ºC/decade
NOAA SST recon. +0.026 ºC/decade
200 m. 1980-2008 Modelled 0.224 ºC/decade
Observations 0.263 ºC/decade
‘climatological profiles + NOAA SST
decadal warming’
200 m.
SST
t
Cte. Q0ShallowerMLD
DeeperMLD
200 m.
SST
t
increasing. Q0ShallowerMLD
++ DeeperMLD
Conclusions
1. As expected, at seasonal timescales winter mixed layer development is mostly conducted by convection processes while wind stress is responsible for mixing events during the spring-summer season.
2. Climatological profiles skills have enabled to use them for a first trial of reproduction of the last sixty years of MLD variability in the study area. Remarkable results have been obtained. An unexpected period of shallower MLDs seem to have occurred during the 1970s and 1980s which would have been concluded from mid1990s onwards by a deepening trend in MLD.
3. The reproduction of sea surface and 200 meters depth temperature time-series and the warming trend at both levels supports the counterintuitive outcome of shallower winter mixed layers concurrent to generalized upper water warming trends reported in several occasions for the area.
4. As found in other recent studies, long term trends in MLD in the southern Bay of Biscay seem to be related with decadal variability in North Atlantic Oscillation (NAO), being in phase and opposition with other cycles of deepening and shallowing trends in MLD found from subtropical-to-subpolar areas in the North Atlantic.
5. Favourable sequence of mixing events results in intense convection processes becoming determinant to explain interannual differences and extraordinary deepening of winter mixed layer as in years 2005, 1963 and 1965.
Many thanks for your attention
Reference: Somavilla, R., C. González-Pola, M. Ruiz-Villareal and A. Lavín, 2011. Last sixty years of mixed layer depth variability in the southern Bay of Biscay. Deepening of winter MLDs concurrent to generalized upper water warming trends? Ocean
Dynamics. DOI: 10.1007/s10236-011-0407-6
Discussion.
1. Extreme winter mixing of 1963, 1965 and 2005
Low-frequency variability pattern of atmospheric pressure identified as the Eastern Atlantic pattern (EATL). Rogers (1990)
200519651963
Negative state of the North Atlantic Oscillation (NAO)
Atmospheric pressure anomaly during the winters 1963,1965 and 2005.
Reference: Somavilla, R., C. González-Pola, C. Rodriguez, S. A. Josey, R. F. Sánchez, and A. Lavín (2009), Large changes in the hydrographic structure of the Bay of Biscay after the extreme mixing of winter 2005, J. Geophys. Res., 114, C01001, doi:10.1029/2008JC004974.
1963, 1965, 2005 similar accumulated buoyancy flux
at the end of the winter
This presentation will examine:
2. Simulation MLD variability 1995-2008 using climatological profiles.
I. Results
Introduction
Table 1. Resume of the forcings fields, data sets and time used for relaxation purposes and periods covered by the different simulations carried out.
Atmospheric forcing fields Relaxation
Period
Q0 and τ Q0 τ Time towards
Simulation
I.A I.B I.C 1 month Hydrographic time-series 1995-2008
II.A 6 months
Hydrographic time-series 1995-2008
II.B 6 months
Upper ocean climatology 1995-2008
III 6 months
Upper ocean climatology 1948-2008
Climatological profiles skills to reproduce MLD variability
Reconstruction past evolution of MLD variability
Prevailing factors governing MLD variability
AIMS:
Effects of advection mantaining main thermocline
1. MLD, upper waters and intermediate water mass variability 1994-2010.