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Renellys C. Perez 12, Silvia L. Garzoli 2, Ricardo P. Matano 3, Christopher S. Meinen 2 1 UM/CIMAS, 2 NOAA/AOML, 3 OSU/COAS.

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Presentation on theme: "Renellys C. Perez 12, Silvia L. Garzoli 2, Ricardo P. Matano 3, Christopher S. Meinen 2 1 UM/CIMAS, 2 NOAA/AOML, 3 OSU/COAS."— Presentation transcript:

1 Renellys C. Perez 12, Silvia L. Garzoli 2, Ricardo P. Matano 3, Christopher S. Meinen 2 1 UM/CIMAS, 2 NOAA/AOML, 3 OSU/COAS

2 South Atlantic MOC (SAM) array Deployed 3 PIES/1 CPIES in March 2009 Figure from SAM Cruise report (Chief Scientist: Chris Meinen) PIES (CPIES) = inverted echo sounder with bottom pressure sensor (and current meter) As part of BONUS-GOODHOPE project 2 CPIES were deployed near South African coast in February 2008 (Chief Scientist: Sabrina Speich)

3 Existing observations in the South Atlantic To better resolve the western boundary currents along the northern boundary of the SAMOC box, a pilot array was started along 34.5°S Infrastructure considerations largely determined the latitude Figure obtained from http://www.aoml.noaa.gov/phod/SAMOC/http://www.aoml.noaa.gov/phod/SAMOC/

4 Questions: What do Observing System Experiments (OSEs) tell us about where a MOC monitoring array should be located? Can a PIES/CPIES array be used to monitor the MOC? Can the SAM and Bonus-Goodhope arrays be incorporated into a MOC monitoring array?

5 Motivation There is only one quasi-comprehensive MOC monitoring system in North Atlantic: the RAPID/MOCHA array at 26.5°N (Cunningham et al. 2007; Kanzow et al. 2007) Given global extent of the MOC, it is important to take into account changes in other basins Otherwise, we cannot determine the causality of changes observed by the RAPID/MOCHA array Heat and salt fluxes from the SA to NA are important for North Atlantic Deep Water (NADW) formation From XBT measurements we know that there is strong connection between the MOC and heat transport in the SA (Dong et al. 2009) Garzoli and Matano 2010

6 Observed connection between NHT and MOC Signals are positively correlated (r=0.76) 1 Sv increase in MOC = 0.05 ± 0.01 PW increase in NHT Dong et al. 2009

7 Array development Deploy virtual arrays into two high-resolution ocean models Evaluate the ability of the arrays to reproduce the MOC and NHT Perfect array of T, S profiles Perfect array of CPIES* SAM array + Bonus-Goodhope array (+ additional) At each time step, velocity estimated as v g + v b + v e + v c Velocity adjusted by v c to give zero net volume transport MOC(t) = maximum northward volume transport at each time step (integrate from velocity surface to ~1000 m) Focus on five latitudes: 15°S, 20°S, 25°S, 30°S, 34.5°S * IES travel times are combined with model T, S to produce time series of dynamic height and geostrophic velocity (similar to Gravest Empirical Mode methodology, e.g., Meinen et al. 2006)

8 Models POCM: Parallel Ocean Circulation Model (Tokmakian and Challenor 1999) Bryan (1969) primitive equation, hydrostatic, z-level model ECMWF/ERA40 reanalysis fluxes Horizontal resolution is 0.4° longitude x 1/4° latitude* 20 z-levels OFES: OGCM For the Earth Simulator (JAMSTEC) Based on MOM3 NCEP/NCAR reanalysis fluxes Horizontal resolution is 0.1° longitude x 0.1° latitude 54 z-levels

9 Models POCM 1 Well studied, but has coarser resolution and older numerics Successfully simulates vertically integrated flow and diapycnal overturning in Southern Ocean, low-frequency variability of ACC and Malvinas Current Does not reproduce correct location of Malvinas Confluence nor Zapiola Eddy, only sheds 2 Agulhas rings/year, overestimates ACC transport through Drake Passage OFES 2 High resolution and advanced numerics, but needs further validation Reproduces large scale SSHA variability in Southern Ocean Underestimates increasing tendency of SSHA in South Atlantic, Agulhas rings propagate too far north 1 Matano & Beier (2003),Schouten & Matano (2006),Baringer & Garzoli (2007),Fetter & Matano (2008) 2 Sasaki et al. (2007), Giarolla & Matano (Ocean Sciences 2010)

10 MOC computed using perfect v array “Truth” Black = OFES Blue = POCM Left: MOC time series Right: Mean vertical structure

11 MOC computed using perfect v array “Truth” Lumpkin and Speer (2007) 11°S 16.2 ± 3.0 Sv 32°S 12.4 ± 2.6 Sv Dong et al. (2009) 35°S 17.9 ± 2.2 Sv

12 High correlation, but zonal structure different Black = OFES Blue = POCM Left: Mean Right: Standard Deviation

13 NHT computed using perfect v array “Truth” Correlation between NHT and MOC exceeds 0.85 for all latitudes and both models (consistent with Dong et al. 2009)

14 Can a perfect T,S or CPIES array reconstruct the MOC in OFES? Black = “Truth” array Blue = Perfect T,S array Red = Perfect CPIES array Left: MOC time series Right: Mean vertical structure

15 Can a perfect T,S or CPIES array reconstruct the MOC in OFES? Less than 0.4 Sv bias at all latitudes High RMSE at 15°S Perfect T, S: high correlation at all latitudes Perfect CPIES: high correlation at 20°S, 30°S, 35°S

16 Can a perfect T,S or CPIES array reconstruct the MOC in POCM? Black = “Truth” array Blue = Perfect T,S array Red = Perfect CPIES array Left: MOC time series Right: Mean vertical structure

17 Can a perfect T,S or CPIES array reconstruct the MOC in POCM? Bias exceeds 1 Sv at low latitudes High RMSE at low latitudes Perfect T, S: high correlation at all latitudes Perfect CPIES: high correlation at 25°S, 30°S, 35°S

18 Summary of perfect arrays In general, better reconstructions are achieved in OFES compared with POCM at higher latitudes compared with lower latitudes with a perfect T, S array compared with a perfect CPIES array for volume transport (MOC) compared with heat transport (NHT) Recommendation: higher latitudes (25°S to 35°S) better for placement of the SAMOC array, especially if array consists of PIES/CPIES

19 What happens if we degrade the array at 34.5°S in OFES? Color contours: Mean v White contours: Std v

20 What happens if we degrade the array at 34.5°S in OFES? Color contours: Mean v White contours: Std v

21 What happens if we degrade the array at 34.5°S in OFES? Color contours: Mean v White contours: Std v

22 What happens if we degrade the array at 34.5°S in OFES? Color contours: Mean v White contours: Std v

23 What happens if we degrade the array at 34.5°S in OFES? Color contours: Mean v White contours: Std v

24 What happens if we degrade the array at 34.5°S in POCM? Color contours: Mean v White contours: Std v

25 OFES 34.5°SPOCM 34.5°S in OFES? Blue = Degraded T,S array Red = Degraded CPIES array

26 What happens if we degrade the array at 30°S in OFES? Color contours: Mean v White contours: Std v

27 What happens if we degrade the array at 30°S in POCM? Color contours: Mean v White contours: Std v

28 OFES 30°SPOCM 30°S Blue = Degraded T,S array Red = Degraded CPIES array

29 Why do less instruments do a better job? Large meso-scale variability east of Walvis Ridge poorly represented by a handful of moorings [Need to filter out meso-scale variability] MOC is strongly correlated with Ekman transport at high latitudes POCM: 0.66 at 25°S, 0.75 at 30°S, 0.85 at 35°S OFES: 0.51 at 25°S, 0.82 at 30°S, 0.88 at 35°S RAPID/MOCHA array correlation is ~0.6* Questions: Can altimetric data be used to resolve regions of large meso-scale variability and set geographic limits for a SAMOC array? How many moorings are needed to reconstruct heat and salt transport by Agulhas rings? *2004-2008 RAPID/MOCHA data obtained from http://www.noc.soton.ac.uk/rapidmoc/

30 Summary of degraded arrays For reconstructions of the MOC, it is important to have interior measurements Present arrays + 2 interior points perform surprisingly well Energetic Agulhas eddy region must be treated carefully Degraded CPIES array and T, S array are comparable for MOC reconstructions Need ~15 measurements to reproduce mean vertical structure of the MOC and have low biases in the OFES model Degrading the array is less successful in the POCM model

31

32 Can a perfect T,S or CPIES array reconstruct the NHT in OFES? Black = “Truth” array Blue = Perfect T,S array Red = Perfect CPIES array plus mean T,S relationship Left: NHT time series Right: Mean vertical structure

33 Can a perfect T,S or CPIES array reconstruct the NHT in OFES? Less than 0.07 PW bias at all latitudes High RMSE at 15°S Perfect T, S: high correlation at all latitudes Perfect CPIES: modest correlation 20°S, 30°S, 35°S

34 Can a perfect T,S or CPIES array reconstruct the NHT in POCM? Black = “Truth” array Blue = Perfect T,S array Red = Perfect CPIES array plus mean T,S relationship Left: NHT time series Right: Mean vertical structure

35 Can a perfect T,S or CPIES array reconstruct the NHT in POCM? Large biases at 20°S, 25°S, 30°S High RMSE at 20°S, 30°S Perfect T, S: high correlation at all latitudes Perfect CPIES: modest correlation 25°S, 35°S

36 OFES 34.5°S longer term trend

37 Example of v g reconstruction: OFES 34.5°S

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40 Agulhas rings go to far north in the OFES Giarolla & Matano (Ocean Sciences 2010)

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