Operational Monitoring of Mesoscale Upper Layer Circulation Fields with Multi-Satellite Technology in the Southwestern Atlantic Ocean

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1 Operational Monitoring of Mesoscale Upper Layer Circulation Fields with Multi-Satellite Technology in the Southwestern Atlantic Ocean Marcio Vianna & Viviane Menezes VM Oceanica Ltda AGU Ocean Science Meeting, Hawaii 2006 OS12A-01

2 1 Introduction 2 System for Altimetric Monitoring and Recovery of Temperatures (SMART) 3 4

3 Introduction Offshore Oil Basins SW Atlantic: over shelf/slope in BC System (BC IWBC with opposite flow). Complex topography/coastline; cross-flow topo grid formed by the Vitoria-Trindade range brakes symetry/topology of BC flow lines. See drifter tracks. Turbulence?

4 Introduction Petrobras leads efforts to make feasible regional/local synoptic 4D ocean circulation monitoring/prediction VM had a 30 month contract for surface monitoring in daily basis with mapping of circulation fields (27 km x 27 km), based on MultiSatellite Altimeter data (Aug 2002-Feb 2005) In situ data usually classified in Oil Companies. Challenges Need higher resolution Need Absolute MDT valide over shelf Need tests against in situ data Can we map mesoscale structures from Alt and Merged SST by data analysis, and project into surface into subsurface?

5 Introduction Petrobras leads efforts to make feasible regional/local synoptic 4D ocean circulation monitoring/prediction VM had a 30 month contract for surface monitoring in daily basis with mapping of circulation fields (27 km x 27 km), based on MultiSatellite Altimeter data (Aug 2002-Feb 2005) In situ data usually classified in Oil Companies. Challenges Need higher resolution Need Absolute MDT valide over shelf Need tests against in situ data Can we map mesoscale structures from Alt and Merged SST by data analysis, and project into surface into subsurface?

6 Introduction Petrobras leads efforts to make feasible regional/local synoptic 4D ocean circulation monitoring/prediction VM had a 30 month contract for surface monitoring in daily basis with mapping of circulation fields (27 km x 27 km), based on MultiSatellite Altimeter data (Aug 2002-Feb 2005) In situ data usually classified in Oil Companies. Challenges Need higher resolution Need Absolute MDT valide over shelf Need tests against in situ data Can we map mesoscale structures from Alt and Merged SST by data analysis, and project into surface into subsurface?

7 Introduction Petrobras leads efforts to make feasible regional/local synoptic 4D ocean circulation monitoring/prediction VM had a 30 month contract for surface monitoring in daily basis with mapping of circulation fields (27 km x 27 km), based on MultiSatellite Altimeter data (Aug 2002-Feb 2005) In situ data usually classified in Oil Companies. Challenges Need higher resolution Need Absolute MDT valide over shelf Need tests against in situ data Can we map mesoscale structures from Alt and Merged SST by data analysis, and project into surface into subsurface?

8 System for Altimetric Monitoring and Recovery of Temperatures (SMART) Object-Oriented, JAVA, global coverage, NetCdf Automatic Data Acquisition daily (global SSHA collinear, all sats, all distribution centers available) Automatic QC of collinear data; includes filtering through SSA methodologies. Space-time mapping through Objetive Interpolation method chosen by user, onto regular or curvilinear grids Dynamic Topography computed from User-defined MDT (hydrographic,, Model) Uses generalized geostrophic formula valid also over Equator, no discontinuity User defines parameters adequate to target region. Other features (plotting, communications, etc)

9 System for Altimetric Monitoring and Recovery of Temperatures (SMART) Object-Oriented, JAVA, global coverage, NetCdf Automatic Data Acquisition daily (global SSHA collinear, all sats, all distribution centers available) Automatic QC of collinear data; includes filtering through SSA methodologies. Space-time mapping through Objetive Interpolation method chosen by user, onto regular or curvilinear grids Dynamic Topography computed from User-defined MDT (hydrographic,, Model) Uses generalized geostrophic formula valid also over Equator, no discontinuity User defines parameters adequate to target region. Other features (plotting, communications, etc)

10 System for Altimetric Monitoring and Recovery of Temperatures (SMART) Object-Oriented, JAVA, global coverage, NetCdf Automatic Data Acquisition daily (global SSHA collinear, all sats, all distribution centers available) Automatic QC of collinear data; includes filtering through SSA methodologies. Space-time mapping through Objetive Interpolation method chosen by user, onto regular or curvilinear grids Dynamic Topography computed from User-defined MDT (hydrographic,, Model) Uses generalized geostrophic formula valid also over Equator, no discontinuity User defines parameters adequate to target region. Other features (plotting, communications, etc)

11 System for Altimetric Monitoring and Recovery of Temperatures (SMART) Object-Oriented, JAVA, global coverage, NetCdf Automatic Data Acquisition daily (global SSHA collinear, all sats, all distribution centers available) Automatic QC of collinear data; includes filtering through SSA methodologies. Space-time mapping through Objetive Interpolation method chosen by user, onto regular or curvilinear grids Dynamic Topography computed from User-defined MDT (hydrographic,, Model) Uses generalized geostrophic formula valid also over Equator, no discontinuity User defines parameters adequate to target region. Other features (plotting, communications, etc)

12 System for Altimetric Monitoring and Recovery of Temperatures (SMART) Object-Oriented, JAVA, global coverage, NetCdf Automatic Data Acquisition daily (global SSHA collinear, all sats, all distribution centers available) Automatic QC of collinear data; includes filtering through SSA methodologies. Space-time mapping through Objetive Interpolation method chosen by user, onto regular or curvilinear grids Dynamic Topography computed from User-defined MDT (hydrographic,, Model) Uses generalized geostrophic formula valid also over Equator, no discontinuity User defines parameters adequate to target region. Other features (plotting, communications, etc)

13 System for Altimetric Monitoring and Recovery of Temperatures (SMART) Object-Oriented, JAVA, global coverage, NetCdf Automatic Data Acquisition daily (global SSHA collinear, all sats, all distribution centers available) Automatic QC of collinear data; includes filtering through SSA methodologies. Space-time mapping through Objetive Interpolation method chosen by user, onto regular or curvilinear grids Dynamic Topography computed from User-defined MDT (hydrographic,, Model) Uses generalized geostrophic formula valid also over Equator, no discontinuity User defines parameters adequate to target region. Other features (plotting, communications, etc)

14 Can we devise and compute a more realistic MDT than the one we adopted before, also including the slope and continental shelf regions? Can we determine the space-time scales of variability in this study region? Does multiscale statistical analysis of the best available operational multi-satellite microwave SST products give results consistent with those obtained from our altimetry data set?

15 Can we devise and compute a more realistic MDT than the one we adopted before, also including the slope and continental shelf regions? Can we determine the space-time scales of variability in this study region? Does multiscale statistical analysis of the best available operational multi-satellite microwave SST products give results consistent with those obtained from our altimetry data set?

16 Can we devise and compute a more realistic MDT than the one we adopted before, also including the slope and continental shelf regions? Can we determine the space-time scales of variability in this study region? Does multiscale statistical analysis of the best available operational multi-satellite microwave SST products give results consistent with those obtained from our altimetry data set?

17 Satellite Absolute MDT Gravity Model 02 (GGM02), based on 363 days of data, from a multi-satellite Mean Sea Surface (GSFCMSS00) both mapped into a 0.25 x 0.25 degree grid Produced for us by request to Don Chambers from the project

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19

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24 Example of SST

25 Altimetric Currents Intraseasonal (< 150d): 70 % 8 days (shelf) 17.6 days 22 days(bc) 26 days (shelf) 36 days SemiAnnual (>150 & <200): 2 % Annual (>200 <400): 6.5 % InterAnnual (>400): 20.7 %

26

27 SST Intraseasonal (<150d): 3 % 17.6 days SemiAnnual (>150 & <200):- Annual (>200 <400): 85 % InterAnnual (>400): 11 %

28

29 Analysis of time series of geostrophic currents obtained from altimetry at grid points around the Campos Basin are consistent with ADCP/CMeter mooring time series. In particular, the 17 day oscillation is very robust in this area Signatures of vortex-induced SST can be detected by excluding the annual cycle from the SSA reconstructions in the intraseasonal band, and coincide in time and space with the altimetrically-derived features This preliminary data analysis, plus CTD and ADCP profile statistics, suggests non classical approaches and new model/data assimilation procedures adequate for ocean forecasting applicable to this mesoscale turbulent environment

30 Analysis of time series of geostrophic currents obtained from altimetry at grid points around the Campos Basin are consistent with ADCP/CMeter mooring time series. In particular, the 17 day oscillation is very robust in this area Signatures of vortex-induced SST can be detected by excluding the annual cycle from the SSA reconstructions in the intraseasonal band, and coincide in time and space with the altimetrically-derived features This preliminary data analysis, plus CTD and ADCP profile statistics, suggests non classical approaches and new model/data assimilation procedures adequate for ocean forecasting applicable to this mesoscale turbulent environment

31 Analysis of time series of geostrophic currents obtained from altimetry at grid points around the Campos Basin are consistent with ADCP/CMeter mooring time series. In particular, the 17 day oscillation is very robust in this area Signatures of vortex-induced SST can be detected by excluding the annual cycle from the SSA reconstructions in the intraseasonal band, and coincide in time and space with the altimetrically-derived features This preliminary data analysis, plus CTD and ADCP profile statistics, suggests non classical approaches and new model/data assimilation procedures adequate for ocean forecasting applicable to this mesoscale turbulent environment

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