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NRT Data Management

NRT Data Management. Giuseppe M.R.Manzella, Franco Reseghetti - ENEA on behalf of the MFS /ADRICOSM VOS group:

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NRT Data Management

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  1. NRT Data Management Giuseppe M.R.Manzella, Franco Reseghetti - ENEA on behalf of the MFS/ADRICOSM VOS group: M. Borghini – CNR – Italy, V. Cardin - OGS – Italy, A.Cruzado – CSIC CEAB – Spain, V. Dadic – IOF – Croatia, F. Grilli – CNR – Italy, C. Galli – CNR – Italy, M. I. Gertman – IOLR – Israel, V. Malacic – MBS – Slovenia, C. Millot – CNRS LOB COM – France, M. Morovic – IOF – Croatia, E. Oszoy – IMS METU – Turkey, C. Tziavos – HCMR – Greece, G. Zodiatis – UC OCY – Cyprus, G. Montanari – Daphne – Italy, S. Serra – Daphne – Italy, N. Smodakla – CMR – Croatia, M. Marini – CNR – Italy, and … many … many other colleagues …

  2. Outline of the presentation • MFS- VOS system • QA protocols • QC procedures • Data and viewing service • Data access

  3. MFS-VOS in the Mediterranean • Started in September 1999 • Sustained by: • MFSPP (EC-DG Research) • ADRICOSM (MATT) • MFSTEP (EC-DG Research) • ADRICOSM (IOC, MAE, MATT)

  4. MFS-VOS system • Activities in the framework of EuroGOOS and MedGOOS • Supports the Mediterranean Forecasting System /Adricosm • Included in the GMES Ocean component

  5. Requirements An ideal sampling design is based on four goals: - 1. provide repetitive measurements along transects from coast to coast, 2. the transects must cross significant dynamical features of the circulation, 3. the sampling distance should resolve, as well as possible, the mesoscale, 4.  the technologies for data collection must be robust and simple, to be used on ships of opportunity, eventually by ship personnel.

  6. XBT data from Sept 1999 to June 2006 MFS-VOS (XBT) in the Mediterranean MFSPP Adricosm PP MFSTEP Adricosm Ext

  7. Adricosm (CTD) in the Adriatic Adricosm Pilot Project Adricosm Extension

  8. Monitoring System in 2005

  9. Phases of monitoring system and QA/QC • Design of the Monitoring System • Field work • Data telemetry • NRT data QC • Sampling strategy and technology • QA protocols for field work • Tecnology for full resolution data transmission • Methodology for NRT QC

  10. Design • Design of the Monitoring System • Field work • Data telemetry • NRT data QC • Sampling strategy and technology • QA protocols for field work • Tecnology for full resolution data transmission • Methodology for NRT QC

  11. Design of the Monitoring System • Main paths and mesoscale

  12. Design of the Monitoring System • Dense Water formation

  13. MFS-VOS in the Mediterranean From 1999 to 2006

  14. Tracks vs Features

  15. Tracks vs Ship routing (oil transport)

  16. Technology • Sippican system • Industrial computer

  17. Phases of monitoring system and QA/QC • Design of the Monitoring System • Field work • Data telemetry • NRT data QC • Sampling strategy and technology • QA protocols for field work • Tecnology for full resolution data transmission • Methodology for NRT QC

  18. Check List (click) • Description of principles • Expected Results • Responsibility • Working Procedures • Deviation/Deficiencies • Expected data

  19. Phases of monitoring system and QA/QC • Design of the Monitoring System • Field work • Data telemetry • NRT data QC • Sampling strategy and technology • QA protocols for field work • Tecnology for full resolution data transmission • Methodology for NRT QC

  20. Transmission tools: from ARGOS to Globalstar • Initially only some significant points extracted from the temperature profiles were transmitted by mean of ARGOS in real time. • In order to have the full resolution profiles, the data transmission system was changed with the use of GSM and Internet systems. The data were transmitted in near-real time, e.g. with a delay of about 12 – 20 hours from data collection. • Now full resolution profiles are transmitted by means of the Globalstar system

  21. Advantages: from ARGOS to Globalstar

  22. Data Flow and QC • Data are transmitted from ships to MFS-VOS Thematic Data Centre • Data are QC with a unique (improved) NRT procedure

  23. Phases of monitoring system and QA/QC • Design of the Monitoring System • Field work • Data telemetry • NRT data QC • Sampling strategy and technology • QA protocols for field work • Tecnology for full resolution data transmission • Methodology for NRT QC

  24. Sources of Error: wind/ship contact

  25. Sources of Error: ground connection

  26. QC Methodology – Initial Version • The NRT.QC.XBT procedure then proceeds with 8 steps that in synthesis are (Manzella, Scoccimarro, Pinardi, Tonani - 2003) • initial visual check • gross range check* • position control* • elimination of spikes* • interpolation at 1 metre interval* • gaussian smoothing* • general malfunction control* • comparison with climatology* • final visual check, confirming the validity of profiles and providing an overall consistency

  27. Comparison with climatology • This is done in terms of ‘distance’ of the XBT data to the mean monthly profile. If this ‘distance’ is less than 2 standard deviations, the XBT data are considered of good quality, if it is between 2 – 4 standard deviation or is greater than 4 a flag standard deviations the data values are flagged.

  28. MFS-VOS_1 (XBT data)

  29. MFS-VOS_1 (XBT data)

  30. MFS-VOS_1 (XBT data)

  31. MFS-VOS_1 (XBT data)

  32. MFS-VOS_1 (XBT data)

  33. MFS-VOS_1 (XBT data)

  34. MFS-VOS_1 (XBT data)

  35. MFS-VOS_1 (XBT data)

  36. MFS-VOS_1 (XBT data)

  37. MFS-VOS_1 (XBT data)

  38. MFS-VOS_1 (XBT data)

  39. MFS-VOS_1 (XBT data)

  40. QC Methodology Improvement • The use the ACQUISITION TIME (fixed increments due to the 10 Hz sampling rate) as free parameter. • The APPLICATION of Gaussian smoothing before interpolation at 1 metre interval. • START-UP problem  Systematic difference at the seasonal thermocline depth. The XBT recording system needs time before it measures stable T values (within 0.1 ºC). The observed averaged delay is 0.3 ± 0.1 s (2.0 m). Each profile could be rescaled. • NEW FALL RATE COEFFICIENTS seem to be required in Mediterranean for XBTs. • … (Paper by Reseghetti et al. Ocean Science – All improvements will be applied after the approval from SOOP community)

  41. MFS-VOS Services Data selection through user friendly interface (geographical, temporal, parameter, quality selection) – Data downloading Data view (spatial and temporal distribution, vertical profiles, data, metadata) Format transformation (MedAtlas, ODV)

  42. Services: data view and downloading

  43. Services: data view and downloading

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