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MEDAR 2002 Database and Network The MEDAR Group MEDAR/MEDATLAS II Mediterranean Data Archaeology and Rescue of Temperature, Salinity and Bio-chemical Parameters. EC-Marine Science & Technology Programme Concerted Action (MAS3-CT98-0174/ERBIC20-CT98-0103). Rationale.
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MEDAR 2002 Database and Network The MEDAR Group MEDAR/MEDATLAS II Mediterranean Data Archaeology and Rescue of Temperature, Salinity and Bio-chemical Parameters EC-Marine Science & Technology ProgrammeConcerted Action (MAS3-CT98-0174/ERBIC20-CT98-0103)
Rationale • Long time series of basic oceanographic parameters are necessary for various scientific and technical studies • Temperature and salinity • Previous projects : MODB, MEDATLAS 1997 • Dissolved oxygen • Nutrients • Data still dispersed among the organizations which carry oceanographic cruises with the risk of being lost for the community • International program GODAR is preapring
OBJECTIVES OF MEDAR/MEDATLAS • To compile and safeguard historical data • To make available comparable datasets • Common format • Common protocol for quality checks • To compute climatology for all the parameters • To publish and disseminate observed data and climatology • To enhance communication between scientists and data managers
NODC/DNA GAC IFREMER/France Benchmark 3 : OCT 2000 Benchmark 4 : JULY 2001 Final corrected data set : JUNE 2002 4 RDC Loading in the data base Errors Error list 1st Climatology November 2001 Pre-processing Benchmark 3 : NOVEMBER 2000 Benchmark 4 : SEPTEMBER 2001 Final data set : JULY 2002 AC GHER/Belgium Final Climatology October 2002 DATA CIRCULATION
2 5 9 1 3 4 0 No QC Correct Inconsistent Changed Missing Doubtful Bad QUALITY CHECKS All the data have been checked for quality according to the IOC/ICES and MAST recommendations: • QCO : Automatic check of the format • QC1 : Automatic and visual check of the headers and dupplicates • QC2 : Automatic and visual check of the data points As a result, the redundant data are eliminated and a quality flag is added to each numerical value (GTSPP flag scale) 1 9
QC-1 : check of the time, location & duplicates Automatic Checks Result Duplicate data sets: E Date E or Ship velocity E or Location/shoreline E or Bottom sounding (ETOPO5) E= Elimination = Correction/Interpolation = Flag «Inconsistant with statistics» - no correction
QC-2 : check of the data points Automatic Checks Result Pressure + one more observation (E) Out of the regional scale (min & max values) Increasing pressure Data below the bottom depth Coherence with pre-existing statisticsmean & standard deviation(LEVITUS, MODB, MEDATLAS) No constant profiles Spikes Vertical stability E= Elimination
OUT OF STATISTICS DOUBTFUL FALSE GOOD NO QC Result of the Quality Checks
CLIMATOLOGY – Objective analysis • Computation of Climatological Analysis by Variational Inverse Model (VIM) algorithms • Computation made on finite elements and then re-interpolated on a regular grid (0.2 degrees in Latitude and Longitude) • T, S and bio-chemical climatology reviewed by regional experts and modellers http://modb.oce.ulg.ac.be/Medar
CLIMATOLOGY • Annual , seasonal and monthly climatology • Temperature, Salinity • Annual and seasonal • Oxygen, Silicate, Phosphate • Hydrogen sulphide (H2S) in the Black Sea • Annual only • Nitrate, Nitrite, PH, Ammonium, Alkalinity, Chlorophyll • No climatology • Total Phosphorus and Total Nitrogen
CLIMATOLOGY : SOME EXAMPLES 2500 horizontal sections and stations location
VERTICAL SECTIONS 2500 vertical sections and surface zoom
DATA PRODUCT • CD-ROM 1 • HTML documentation on the project and its results • Cruise inventory • CD-ROM 2 • Observed data and SELMED tool for extraction and visualization. Export formats are MEDATLAS, CSV, ODV • CD-ROM 3 • Gridded climatology : Mediterranean sea and Western Mediterranean basins (maps, figures, numerical fields) • CD-ROM 4 • Gridded climatology : Black Sea and Eastern – Central Mediterranean basins (maps, figures, numerical fields) A SET OF 4 CD-ROMS
CD-ROM2 : Observations Database • Total 285 879 multi-disciplinary profiles - A regional contribution to GODAR • SELMED tool for data extraction and visualization Export formats are MEDATLAS (with full meta-data), CSV (simplified format for Excel) or ODV (simplified format for import in WOCE Ocean Data View software)
CONCLUSIONS • The wide international cooperation has made possible the realization of a comprehensive integrated data base which: • Doubles the volume of available observation data compared with the previous 1997 release • Gives information on the sources, the related cruises and the quality control methodology • Provides improved annual and seasonal gridded climatologogical fields valuable for scientific purposes like model initialisation and engineering studies in the Mediterranean & Black sea regions • Offers an easy access to the users and simple selection and visualisation tools • Furthermore, sharing expertise and knowhow among the partners, has contributed to : • Improve and standardize the data management methodologies • Enhance the whole MEDAR network as a distributed data management infrastructure, trained in data qualifying, processing, mapping, archiving and communication
NEW PERSPECTIVES & TASKS TO MADE • MEDAR Database needs to be regularly updated by integrating : 1) data collected in recent cruises and data collected in real time by automatic systems 2) other important parameters such as pCO2 and current • MEDAR proposes to provide a direct access to the integrated data sets through a live access server on internet • The regular publication on electronic support should continue • Interface with other data servers shloud be provided More information on MEDAR on the distributed WWW site: www.ifremer.fr/medar