Data management and archiving
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1 Data management and archiving for COP / GOP / D_PHASE 4 th COPS Workshop 25./ Stuttgart Claudia Wunram Hannes Thiemann / 1
2 Data archive Long term data archive for COPS, GOP and D-PHASE hosted at World Data Centre for Climate (WDCC) run by the group Model and Data (M&D) at Max Planck Institute for Meteorology, in Hamburg, Germany / 2
3 Content WDCC as data archive in COPS-campaign Common data policy with interlinked projects Tasks of data archive and expected storage amounts Data transfer, responsabilities for quality control Data formats Meta data description Data structure Data access Next steps: test runs Outlook Contact info / 3
4 Data from Earth System Modelling and Related Observations WDCC Content Mission: collect, store and disseminate data for climate research Approved in January 2003 March 2006: 220 TB / 566 Experiments / Data Sets COPS IPCC-DDC ERA40 BALTEX WOCE ENSEMBLES HOAPS CARIBIC IPCC / 4 GEBCO CEOP COSMOS EH5/MPI-OM NCEP ERA15/40 IPCC-AR4 MPI, GKSS, GOP DPHASE
5 WDCC as data archive in COPS campaign and interlinked projects / 5
6 Common data policy As announced in data implementation plan Agreed on by all PIs and M&D All investigators deliver promptly their data to the archive (final version 03/2008) M&D gives access rights according to announcements of COPS coordinator (groups and timeline) / 6
7 Tasks as COPSdata archive archive instrument data, model data, quicklooks and alerts for observation periods: GOP: JAN 07 DEC 07 COPS: JUN 07 AUG 07 DPHASE: JUN 07 NOV 07 define meta data layout and handle implementation offer service within the frame of data storage at WDCC and help to access to data base no real time data handling can be done by M&D host data base link to external data: EUMETSAT, 3D radar (DWD) LMK (high resolution forecast model) / 7
8 Storage amounts: Data storage volume for COPS, GOP and D-PHASE: 20 TB Estimated data volume: GOP: COPS instruments: COPS models: D-PHASE: 3+ TB 2 TB 10 TB 5 TB Plus processing area on M&D work group server: ~500 GB + CPU (visualization tasks, quick access) / 8
9 AMF data Observation period: APR 07 to DEC 07 Data volume: ~ 150 GB Data transfer: at the end of observation period (shipped on disk, ) / 9
10 Data transfer data provider unix account user instruction - data structure - data upload checksum data ftp upload area in file system checksum meta data ftp WDCC data base CERA / 10
11 Data flow: visualization COPS OC ssh sftp D-PHASE PI s/ UHOH ssh processing area 500GB data pics ftp ftp upload area in file system meta data ftp WDCC data base CERA / 11
12 Data control Data providers: responsible for quality of data file content and meta data content responsible for data transfer (checksum tests) M&D: technical controls (time stamp, consistency of time series) / 12
13 Accepted data formats: model data GRIB1, netcdf/cf instrument data netcdf/cf quicklooks jpg, gif, png, eps, meta data xml CF-convention for meta data description is strongly advised: Variable names are described by CF-standard names -> search in data base and intercomparison / 13
14 Meta data information Reference Contact Coverage Status Entry Parameter Distribution Data Org Spatial Reference / 14
15 Meta data formular (1) webbased or local fill in output is xml-file / 15
16 Meta data formular (2) / 16
17 Data structure 1 upload download WDCC data base CERA Data sets Upload data structure defines the access options for downloading / 17
18 Data structure 2 WDCC data base CERA According to user needs Examples for download structure/data set definition: A: focus on case studies (COPS, D-PHASE?) Specific day -> all instruments, models, pics B: focus on statistics (GOP?) Specific parameter -> timeseries of observation period C: other vertical model profiles / subregions / 18
19 Data access CERA user account set access rights according to data policy data user view meta data download data via web interface download data in batch mode CERA data base / 19
20 Next steps Define data structure model (-> investigators) Provide meta data formular to investigators Test runs for data delivery and upload are needed Prior to campaign start of each project Each data group has to deliver representative test data and full meta data description Test run timeline GOP: NOV 2006 DPHASE: FEB 2007 COPS: APR / 20
21 Outlook Registration of data as DOI (digital object identifier) is strongly advised Advantages: data in final version are peer reviewed by review agency citation of published data is possible like a reviewed scientific article completeness of data set descriptions (metadata) is needed quality of data values (precision, sequence and ranges) is needed / 21
22 contact information Service adress: User information on: cops.wdc-climate.de / 22
23 COPS data management web info cops.wdc-climate.de / 23
24 M&D webpage / 24
25 CERA interface (1) browse / login / 25
26 CERA interface (2) select experiment COPS / 26
27 CERA interface (3) select data set / 27
28 CERA interface (4) view meta data / 28
29 End / 29
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