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Understanding ocean bottom pressure variability with Antares data

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Presentation on theme: "Understanding ocean bottom pressure variability with Antares data"— Presentation transcript:

1 Understanding ocean bottom pressure variability with Antares data
Nadia Pinardi (1), Sara Zanella(1*), Annarita Margiotta (1,2), Stefano Cecchini(2) Marco Zavatarelli (1), Luca Giacomelli (1) (1) Department of Physics and Astronomy University of Bologna (2) Istituto Nazionale di Fisica Nucleare Bologna (*) Master degree recipient

2 OUTLINE Statement of the problem
The bottom pressure sensors at the Antares Observatory The reconstruction of a long time series of BP without gaps: methodology and assumptions Analysis of the BP for high and low frequency components Conclusions

3 The Global Ocean Observing System (IOC-Unesco and WMO programs)
Visit the new site:

4 What does Antares Bottom Pressure Sensors (BPS) network add to this?
High frequency data, 2 minutes acquisition rate resolving ocean high frequency processes Unique method to measure open ocean tides at high and low frequencies (pole tide and Chandler wobble) The BPS can measure changes in the mass of the ocean with high accuracy also because of the vicinity of a tide gauge station providing the tidal measurements

5 How did we start? From IL07 Red: Floor 6 pressure (2193 m)
Blue: tide gauge The sea level observations of Toulon are available from REFMAR (refmar.shom.fr) Deep water mass formation event, 60 cm! Relative displacement 20 cm March-April 2009

6 The physical nature of the bottom pressure signal
The bottom pressure is largely determined by the hydrostatic balance where is the sea level and is the atmospheric pressure

7 The physical nature of the bottom pressure signal
The bottom pressure is largely determined by the hydrostatic balance The last term is proportional to the weight of the ocean or the ocean mass

8 The physical nature of the bottom pressure signal
Since Monitoring the mass of the ocean at Antares means indirectly to say something about how temperature and salinity properties change

9 The questions How similar are the barotropic tides at Antares and Toulon tide gauge station? What is the dominant variability period for the ocean mass term? Can we associate circulation structures to the mass changes?

10 The Bottom Pressure Sensors (BPS) at Antares
Deep water circulation and density Bottom pressure sensors at Antares Antares

11 The bottom Pressure Sensors (BPS) at Antares
For our analysis only L1, L3, L8 are analyzed since others do not add information Data collection period: 22 May January 2014 Analysis time period: Jan 1, Dec 2013

12 The ANTARES Observatory location
Central Lat, Lon: 42°48'N - 6°10'E Depth of bottom: m Toulon tide gauge station is 40 km away Time frequency of raw data acquisition: 2 minutes Toulon Antares

13 The bottom pressure data: gaps
Pressure Time series IL07 L1 L3 L8 IL07 (red) and bottom pressure sensors (green) 2190 m 2480 m 2480 m 2480 m

14 Reconstruction of a long bottom pressure time series: methodology of work
Reconstruction STEP 1: despiking Reconstruction STEP 2: averaging on 30 minutes Reconstruction STEP 3: gap filling Filtering STEP 4: de-tiding Filtering STEP 5: detrending for instrument drift Output: 5 years almost continuous BP Recontsructed Time Series (RTS)

15 Reconstruction STEP 1: despiking
RAW DATA DESPIKED DATA BPS (L1)

16 Reconstruction STEP 2: averaging on 30 minutes
averaged DATA DESPIKED DATA An example of averaging for November 19, 2009: tidal signal is similar within 1 mm between three stations

17 Reconstruction STEP 3: gap filling
averaged DATA filled DATA: RTS L3 L1 L8 An example of gap filling: May 2009

18 Reconstructed Time Series (RTS)
Gaps > 1 hour 2009 134 2010 91 2011 58 2012 50 2013 23 1 January December 2013 Data point frequency 30 minutes

19 Filtering STEP 4: detiding with Doodson Filter
RTS RTS detided

20 Fitering STEP 5: detrending
RTS detided RTS detrended ((from Watts and Kontoyiannis, 1989)

21 The final RTS for bottom pressure at Antares
Seasonal steric, multi-month and mesoscale signals 2010: Anomalous winter

22 The BPS in the Pacific ocean and the Mediterranean Sea
35 cm Phase change, minimum later in the year 55 cm cm Hughes et al., 2012

23 Comparison between sea level at Toulon and bottom pressure
Antares equivalent Sea level July 2 July 11 Correlation coefficient = 0.7 (1 January October 2013)

24 large scale circulation
Analysis of low frequency variability in RTS: power spectra with tides removed PERIOD (days) PHENOMENA I 51 mesoscales II 57 III 107 Steric effect/ large scale circulation IV 156 Steric effectl/ V 172 VI 191 VII 286 VIII 343 IX 429 Chandler wobble (433)

25 Copernicus currents: http://marine.copernicus.eu/
Bottom pressure and circulation structures: mesoscales and steric effects Jul-Aug-Sep 2012 Toulon Toulon Antares Antares Copernicus currents:

26 Preliminary conclusions
We developed a methodology to analyze the BPS data at Antares, producing a 5 year Reconstructed Time Series-RTS, the first of its type, quality controlled and filtered from instrument malfunctioning The tidal signal was analyzed in the open ocean ocean for the first time in the Mediterranean, showing consistency with Toulon sea level records The mass contribution to bottom pressure includes mesoscales and large scale circulation steric effects and the Chandler Wobble frequency (433 days)

27 Preliminary conclusions
Antares could offer the possibility to evaluate the mass changes in the ocean by also having a maintenance service that would change the sensors after few years, this reducing the effects of trends on the accuracy of the recovered signal. Being deep but close to the tide gauge in Toulon, tides could be subtracted by using the observed data thus offering a more precise reconstruction of BP signals The BPS should be coupled to T,S sensors and may be other bottom measurements to unravel the correlation between mass and heat and salt changes

28 Bottom Pressure Sensor (BPS)
Anchored at 2478 m depth Made by GENISEA Titanium container Pressure sensor DRUCK piezo-electric range bars Precision <0.01 bars Sensitivity 0.01 db


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