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EC-Marine Science & Technology Programme
IODE-XVI
Lisbon, 30 October – 9 November 2000
MAST/MEDAR-MEDATLAS Mediterranean Data Archaeology and
Rescue of Temperature, Salinity and Bio-
chemical Parameters (MAS3-CT98--0174/ERBIC20-CT98-0103)
MEDAR Grouppresented by Catherine MAILLARD, project
coordinator, IFREMER/SISMER
225/08/00
MEDAR GROUP
IFREMER/SISMER Brest, France
IEO Madrid, Spain
UL/GHERLiège, Belgium
ICESCopenhaguen, Dk
INRH/DOTMCasablanca, Morocco
ISMALAlger, Algeria
NCMR/HNODCAthens, Hellas
TN/DNHOIstanbul, Turkey
NIMHSofia, Bulgaria
IOCParis, France
UM-POMsida, Malta
RIHMI-WDCObninsk, Russia
MHI/MISTSevastopol, Ukraine
NIOF/ENODCAlexandria,
Egypt
FD-MANRE/CyNODCNicosia, Cyprus
NCSR-NCMSBatroun, Lebanon
IOLRHaifa, Israel
ENEALa Spezia, Italy
OGSTrieste, Italy
CNR/IMGABologne, Italy
Collaborations and Scientific Advisers : GODAR Project - WDC-A, NODC-Croatia, Tunisia, Georgia
EUROGOOS, IODE Network
325/08/00
Project History and Context UNESCO/IOC/IODE : International Oceanographic Data & Information Exchange
1993 : Global Oceanographic Data Archaeology and Rescue Project (GODAR) launched
• April 1995 : GODAR IV - IOC-ICSU-CEC Regional Workshop for Member States of the Mediterranean, Malta. UNESCO-IOC Report No 110
Dec 1996 : Mediterranean Data Archaeology and Rescue of temperature, salinity and bio-chemical parameter (MEDAR), officially endorsed by IOC
May 1997 : Joint IOC, EC/MAST and Turkish Data Centre MEDAR/MEDATLAS Meeting, Istanbul. IOC/INF-1084 summary report
EC/MAST : Marine Science and Technology Programme MODB (MAS2-CT93-0075, 1995-1996) MEDATLAS Pilot Project (MAS2-CT93-0074, 1994-1997) MEDAR/MEDATLAS II project submitted for a MAST/INCO Concerted action in
June 1997, accepted for a 3-year support period December 1998 to 2001 March 1999 : Kick-off Meeting in Paris
425/08/00
Questions Asked and Needs
Managing living and non-living resources, monitoring environmental changes in the sea and protecting the marine environment, require long time series of observations of:
Dissolved Oxygen: low oxygen levels in the upper layers, can result in reduction of higher life forms, release of toxic forms of metals and pathology in living organisms.
Nutrients: changes in nutrient fluxes can alter primary production and bio-diversity, and can directly affect aquaculture and fishing activity.
Temperature and Salinity: are the primary indicators of climate change and allow the computation of other derived parameters such as density, sound velocity, and geostrophic current, widely used in scientific and technical studies.
The need for marine database and appropriate data management is particularly crucial in the Mediterranean and Black Sea : for environmental studies, for qualification of new data that requires statistics of expected values, for initialisation and qualification of numerical models
When the project started, not all of the data collected by the scientific laboratories of the bordering countries were inventoried and safeguarded. Data never archived in a public data bank are in danger of being lost. Studies show that without appropriate safeguarding, about 30% of them will be lost within 10 years. Data collected in variable environment cannot be remade.
525/08/00
CyprusFD-MANRE
Inventory
Observed data
Task V : QAAssesments
> ICESENEA,
IMGA-CNR,IOC
Data products
Climatological Data
MANAGEMENTAdvisory Group Steering Committee Co-ordinator EU/MAST Representative
> IFREMER
Task I : Data Rescue and Inventory> RIHMI-WDC
Task II-ER Eastern Region
Assembling & QC > NCMR
Task II-WR Western Region
Assembling & QC > IEO
Task II-CR Central Region
Assembling & QC > OGS
Task II-BS Black Sea
Assembling & QC
> RIHMI-WDC
Task III : Global Assembling, Processing, Products
> IFREMER
Task IV : Objective Analysis, Climatologies
> GHER
MoroccoINRH
SpainIEO
FranceIFREMER
AlgeriaISMAL
MaltaUM-PO
ItalyOGS
GreeceNCMR
IsraelIOLR
TurkeyTN-DNHO
LebanonNCRS
EgyptNIOF
TurkeyTN-DNHO
RussiaRIHMI-WDC
BulgariaNIMH
UkraineMHI/MIST
MEDAR TASKS ORGANIZATION
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Medatlas Common Protocol for Observations (Task II& V)
Objective : to insure coherence and compatibility between data sets from various sources
Methodology : development of existing international standards workshop and job training in regional intercalibrated data centres
Content1. common MEDATLAS exchange format, which According to ICES/IOC
should:• be autodescriptive• be independant of the computer• be flexible and accept (almost) any number of parameters• keep track of the source and history of the data• allow the processing of each profile independantly
2. quality checks procedure with automatic and visual checks,
and quality flags as a result
This protocol is already used in several Mediterranean projects
925/08/00
Medatlas Format*FI35199706008 MTPII-MATER/HFF-PELAGOS MA 35EU EUROPE15/03/1997 03/05/1997 MED. WESTERN BASIN35 MICROBIOLOGIE MARINE,LAB. OCEANOGRAPHIE BIOLOGIQUE,LAB. SEDIMENTOLOGIE ET GVAN WAMBEKE France Project=MTP II-MATERRegional Archiving= FI Availability=LData Type=H09 n= 50 QC=YData Type=H22 n= 50 QC=YData Type=H24 n= 50 QC=YCOMMENTDM=PRES TEMP PSAL DOX1 PHOS NTRA NTRI controlled with Levitus 94DM=CPHL controlled with no climatologyDM=DOXY controlled with Levitus 94*FI3519970600800011 Data Type=H09*DATE=16031997 TIME=1130 LAT=N43 02.30 LON=E005 07.90 DEPTH= QC=1119*NB PARAMETERS=16 RECORD LINES=00008*PRES SEA PRESSURE sea surface=0 (decibar=10000 pascals) def.= -999.9*TEMP SEA TEMPERATURE (Celsius degree) def.= 99.999*PSAL PRACTICAL SALINITY (P.S.U.) def.= 99.999*DOX1 DISSOLVED OXYGEN (ml/l) def.= 99.99*DOXY DISSOLVED OXYGEN (millimole/m3) def.=999.999*NTRI NITRITE (NO2-N) CONTENT (millimole/m3) def.= 99.999*NTRA NITRATE (NO3-N) CONTENT (millimole/m3) def.= 99.999*PHOS PHOSPHATE (PO4-P) CONTENT (millimole/m3) def.= 99.999*AMON AMMONIUM (NH4-N) CONTENT (millimole/m3) def.= 99.999*CHLT CHLOROPHYLL-TOTAL (milligram/m3) def.= 99.99*SLCA SILICATE (SIO4-SI) CONTENT (millimole/m3) def.= 99.99*CPHL CHLOROPHYLL-A CONTENT (milligram/m3) def.= 9.99*ALKW ALKALINITY (micromole/kg) def.= 9999.9*PHPH PH (pH UNIT) def.= 9.999*GLOBAL PROFILE QUALITY FLAG=1 GLOBAL PARAMETERS QC FLAGS=1999911111111199*DC HISTORY=BOTTLES**DM HISTORY**COMMENT**SURFACE SAMPLES=**PRES TEMP PSAL DOX1 DOXY NTRI NTRA PHOS AMON CHLT SLCA CPHL ALKW PHPH 4.9 99.999 99.999 99.99 999.999 0.083 0.566 0.082 0.024 99.99 0.88 0.08 2408.4 8.113 19999111111111 9.9 99.999 99.999 99.99 999.999 0.090 0.554 0.085 99.999 0.40 0.83 0.07 2435.7 8.107 19999111911111 19.8 13.467 37.947 5.72 255.455 0.090 0.535 0.079 0.014 0.50 0.96 0.48 2456.1 8.107 11111111111111 39.7 13.438 37.954 5.68 253.669 0.112 0.786 0.090 0.005 0.50 1.39 0.18 2402.9 8.102 11111111111191 59.5 13.473 37.987 5.47 244.290 0.132 1.329 0.090 0.014 0.20 1.64 0.03 9999.9 8.102 11111111111191-999.9 99.999 99.999 99.99 999.999 99.999 99.999 99.999 99.999 99.99 9.99 9.99 9999.9 9.999 99999999999999
1025/08/00
Quality Checks
CHECKS QC-0 : check the format : coherence of station date, time, latitude, longitude, cruise header, conformity of the codes for ship, data type, parameters names & units ..
QC-1 : check of the time and location, search for duplicates QC-2 : check the data points
RESULTS = ELIMINATION OR QUALITY FLAG (GTSPP)
0 1 2 3 4 5 9
No QC Correct Inconsistent Doubtful Bad Changed Missing
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Automatic Checks Result
Duplicate data sets EDate E or
Ship velocity E or
Location/shoreline E or
Bottom sounding (ETOPO5)
E= Elimination
= Correction/Interpolation= Flag «Inconsistant with statistics» - no
correction
QC-1 : check of the time, location & duplicates
1225/08/00
QC-2 : check of the data points
Automatic Checks ResultPressure + one more observation E
Out of the regional scale
(min & max values)
Increasing pressure
Data below the bottom depth
Coherence with pre-existing statistics (LEVITUS, MODB, MEDATLAS)
No constant profiles
Spikes
Vertical stability
E= Elimination
1425/08/00
Task IV: Objective Analysis - Climatologies
VIM Software adaptations Climatological Computations by VIM and Mapping QC of T/S and bio-chemical climatological gridded analysed data Software dissemination & documentation
1525/08/00
Global Assembling, Processing, Products (Task III)
Global Assembling & Processing Final QC : format, duplicates Extraction of data flagged to 1 Interpolation at standard levels Mapping of the annual, seasonnal
and monthly data position distribution
Edition of the Final Product on Cdrom including observed
and gridded data files, documentation, maps and software tools
1625/08/00
Task V : Quality Assurance Assesments
MEDAR/MEDATLAS protocol - Quality Assurance Manual for Observed data, climatological data, inventory A Contribution to the development of International Standards for Marine
Information Management Based on existing international Reference Manuals
• UNESCO/IOC/IODE & MAST, 1993 : Manual of Quality control procedures for validation of oceanographic data. Manual and Guides 26.
• UNESCO/IOC & ICSU, 1991 : Manual on Oceanographic Data Exchange. Manual and Guides 9
• UNESCO 1987 : Un format général pour les données relative à l’environnement terrestre. Description du format GF3 et des tables de code; Manuels et guides 17.
• UNESCO/SCOR/ICES/IAPSO 1983 : Algorigthms for comuputation of fundamental properties of seawater. Technical papers in marine science 44
• Ref : UNESCO Intergovernmental Oceanographic Commission, 1994. IODE Handbook. Committee on International Oceanograhich Data and Information Exchange
Workshops QC workshop for observed data : Brest and Athens 1999 Objective Analysis and Mapping : Liège
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Networking , Communication, Promotion
WWW Links between Coordinating, Regional, Thematic and National Websites, Brochures, Posters, Papers, Contribution to exhibitions and meetings and Actions at govermental levels through IOC mechanisms
1825/08/00
MEDAR/MEDATLAS II FUTURE AND LONG TERM OBJECTIVES
1. to contribute to improve the overall level of data quality by developing and standardising common protocols for data management and data exchange, especially for handling oxygen and nutrients data
2. to decrease the time lag between data collection and data release, and facilitate the further use of the data among different scientific, operational and industrial communities Importance of archiving data before they become archaeological Importance of publishing regular updates of the database
3. to develop a distributed data management structure trained in data qualifying, processing, mapping, archiving and communication Capacity building for real time & delayed mode data management A database and a tool for the operational oceanography and the modelisation of the
Mediteranean Sea
More Information : www.ifremer.fr/medar
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DISSEMINATION OF THE MEDAR/MEDATLAS RESULTS
During the project implementation
Data servicing at each NODC/DNA through Medatlas I release + releasable new national data
Web site : http://www.ifremer.fr/medar/ and hyperlinked websites for meta-data, data requests and dissemination of information
Promotion of the project through IOC mechanisms and participation to scientific meetings & exhibitions
After the project completion MEDAR/Medatlas II data set published on Cdrom Format and QC protocol published and disseminated with IOC manuals Access to data, data products and information at the NODC/DNA for at
least 5 year
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Objectives and Tasks
Task 1: to inventory from a common cruise catalogue, compile, safeguard and make available historical data sets of : Temperature, Salinity, Oxygen, Nitrate, Nitrite, Ammonia, Total Nitrogen, Phosphate, Total Phosphorus, Silicate, H2S, pH, Alkalinity, Chlorophyll-a
Task 2: to make the archived data sets comparable and compatible by using the common MEDATLAS protocol for formatting and quality checking
QC involves automatic and visual checks and takes into account regional statistics
Task 3 : to prepare and disseminate qualified value added products by developing and using efficient gridding, and mapping methodology developed with the Variational Inverse Model of MODB (MAS2-
CT93-0075-BE) Task 4: to publish the observed data, gridded data, maps, software and documentation on CDrom for
further scientific, educational, industrial, governmental use
Task 5: to develop and document a common methodology for data and meta-data formatting and qualifying, in conformity with the internationally agreed standards. This protocol aims to be adapted to the historical data management of different data types, as well as new real time data.
2525/08/00
QC-2 : check of the data points
Automatic Checks ResultPressure + one more observation E
Out of the regional scale
(min & max values)
Increasing pressure
Data below the bottom depth
Coherence with pre-existing statistics (LEVITUS, MODB, MEDATLAS)
No constant profiles
Spikes
Vertical stability
E= Elimination
2625/08/00
Time Schedule and Data Flow
TASK \ Date 1/12/98 1/12/99 1/12/00 1/12/01
I - Data Rescue & Inventory
II - Regional Assembling & QC BM1
III - Integration, Processing,Products
BM2
IV - Objective analysis,Climatologies
BM3
BM4
V - Quality Assurance QC
WS
Data Flow Bench Mark 1 : test the format of national data sets Bench Mark 2 : test the format, codes and overall coherence between regional QC centres and the global assembling centre Bench Mark 3 : test of the bio-chemical data sets processing
Bench Marck 4 : test of the complete data set and the full processing
Final processing of the complete data set
Reference protocol manual
Time Schedule
2725/08/00
MEDATLAS Pilot Project 1994-1997(MAST Supporting Initiative MAS2-CT93-0074)
Main Objective : to prepare a qualified data product useful for the Mediterranean scientific and technical programmes
Results : Mediterranean Hydrographic Atlas 1997
1 : Database of observed temperature and salinity profiles from 21 countries and 9 data centres : 16 749 CTD 33 916 Bottle casts, 156 473 XBT & MBT
2 : Monthly (upper temperature), Seasonnal and Annual Climatological Statistics variance and error on a 1/4*1/4 degree and 28 vertical levels and Maps
3 : MEDATLAS format and QC Protocol used in several other new Mediterranean projects
Main Objective : to prepare a qualified data product useful for the Mediterranean scientific and technical programmes
Results : Mediterranean Hydrographic Atlas 1997
1 : Database of observed temperature and salinity profiles from 21 countries and 9 data centres : 16 749 CTD 33 916 Bottle casts, 156 473 XBT & MBT
2 : Monthly (upper temperature), Seasonnal and Annual Climatological Statistics variance and error on a 1/4*1/4 degree and 28 vertical levels and Maps
3 : MEDATLAS format and QC Protocol used in several other new Mediterranean projects
IFREMER/SISMER (coordinator) C. MAILLARD , M. FICHAUT, G. MAUDIRE, D. CURE, M. LAROUR
NCMR/HNODC E. BALOPOULOS, A. THEOCHARIS, A. IONA, A. LYKARDOPOULOS
IEO (Spanish Institute of Oceanography) M-J. GARCIA, J.L. JURADO, N. CANO
SHOM (French Navy) D. JOURDAN, L. BAUDET
ICES (Scientific Adviser ) H. DOOLEY
2825/08/00
Medatlas I - Data sources
CTD, Bottle casts, XBT, MBT, thermistor chains data from : French research laboratories, compiled by IFREMER/SISMER Spanish laboratories, compiled by IEO Hellenic laboratories and Navy + POEM project data set, compiled by
NCMR/HNODC Italian and Spanish scientific data compiled by the MODB consortium Historical dataset compiled by the WDC-A Historical dataset compiled by ICES Recent German cruises archived by DOD Recent British cruises archived by BODC French, UK and Spanish Navies XBT and MBT compiled by SHOM/CMO,
UKHO, IHM
Country sources of the final data set Austria Belgium Denmark Egypt France Germany Greece Israel Italy Monaco Netherlands Norway Portugal Spain Sweden Tunisia Turkey Russia/FSU United Kingdom USA Croatia/FY