Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research Ocean Data View and itsRole in SeaDatanet and its Role in SeaDatanet.

Slides:



Advertisements
Similar presentations
3rd Bi-annual BS Scientific Conference and UP-GRADE BS-SCENE Project Joint Conference Odessa, Ukraine, 31st October - 4th November 2011 BULGARIAN ACADEMY.
Advertisements

Better Data, Better Science! [ Better Science through Better Data Management ] Todd D. OBrien NOAA – NMFS - COPEPOD.
Reiner Schlitzer & Stephan Heckendorff Alfred Wegener Institute for Polar and Marine Research Multi-file Data Aggregation with Ocean Data View.
WOCE Global Data V3 WOCE-DPC Report Nathan Bindoff and David M. Legler Co-Chairs, WOCE DPC WOCE Conference November 2002 All of it.
ECOOP Data Management System (T2.2/WP2) Declan Dunne 13 th February 2008, Athens.
Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research ODV Gridding Methods.
Integration of Environmental Datasets, Formats & Software in the IODE Resource Kit Murray Brown Phoenix Training Consultants New Orleans This PPT presentation.
First Data Management Training Workshop, February, 2007, Oostende, Belgium 1 Quality control checks description First Data Management Training Workshop.
IQuOD An International Quality Control Effort Tim Boyer EDM workshop September 10, 2014.
IQuOD Data Flow Tim Boyer NODC. Inflow How will IQuOD quality controlled data get into the World Ocean Database?
Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research Ocean Data View - Available Data Collections and Data Model.
Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research Ocean Data View 4 - Data Quality Control.
WP2: Data products generation in Mediterranean Sea EMODNET Chemistry Data Products, Experts Workshop Split (Croatia), June 2014 Sissy Iona, HCMR-HNODC.
Marine Data Management within EMODNet Chemistry project: data aggregation, quality control and products preparation A.S. Iona 1, P. Karagevrekis 1, S.Balopoulou.
OBSERVATIONS & PRÉVISIONS CÔTIÈRES 3 rd SeaDataNet training course – Ostende – June 2008 NEMO reformatting tool v1 M. Fichaut.
1 The IODE Ocean Data Portal - current status and future Nikolai Mikhailov, Chair of IODE/JCOMM ETDMP National Oceanographic Data Centre, Russia Four Session.
Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research Ocean Data View.
Access to CARBOOCEAN and related data. Data is standardized and homogenised (parameters, metadata, etc.) quality checked well documented international.
Exploring PMEL EPIC Profile Data With Java OceanAtlas (JOA). John R. Osborne
NWS FLDWAV ANALYSIS TOOL
1 Dapper and Argo Joe Sirott PMEL/NOAA. 2 What is Dapper? Web server that provides distributed access to in-situ data via OPeNDAP protocol Clients include.
OceanBrowser viewing service, overview and upgrades Alexander Barth (1), Charles Troupin (2), Aida Alvera Azcárate (1), Jean-Marie Beckers (1) (1) University.
_______________________________________________________________CMAQ Libraries and Utilities ___________________________________________________Community.
Argo workshop in Ghana, December Argo data status & data access.
Attack signatures derived from Metasploit Final Presentation E. Ramirez A. Zoghbi
Bob Keeley Marine Environmental Data Service Dept. of Fisheries and Oceans Ottawa, Canada Jun, 2006 SeaDataNet Meeting.
Reiner Schlitzer & Stephan Heckendorff Alfred Wegener Institute for Polar and Marine Research Ocean Data View – New Developments.
ODV for Data Products Reiner Schlitzer, Alfred Wegener Institute, Bremerhaven, Germany.
OBSERVATIONS & PRÉVISIONS CÔTIÈRES SeaDataNet annual meeting, Madrid, March 2009 How to prepare data for integration in SeaDataNet.
© Crown copyright Met Office The EN4 dataset of quality controlled ocean temperature and salinity profiles and monthly objective analyses Simon Good.
Chemical lot - HOW: Infrastructure set up based on SeaDataNet V1 efficient distributed Marine Data Management Infrastructure; Principle of “ADOPTED AND.
A Climate Data Portal Focused on realtime and retrospective in situ data Nancy Soreide, Don Denbo, Willa Zhu, NOAA/PMEL Charles Sun, NOAA/NODC Bernie Kilonsky,
An Introduction to the Argo Data Sytem South Pacific Workshop 11 – 14 October 2005 Mark Ignaszewski FNMOC.
SeaDataNet Pan-European infrastructure for Ocean & Marine Data management An Integrated research Infrastructure Initiative (I3) NA2: TA system Monitoring.
Java OceanAtlas A Cross-Platform Application for Visualization and Selection of Oceanographic Profile Data John R. Osborne
Java OceanAtlas A Cross-Platform Application for Visualization and Selection of Oceanographic Profile Data John R. Osborne ftp://odf.ucsd.edu/pub/OceanAtlas/
Distributed Data Servers and Web Interface in the Climate Data Portal Willa H. Zhu Joint Institute for the Study of Ocean and Atmosphere University of.
Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research ODV – New Developments.
National Oceanographic Data Center of Ukraine (Marine Biology) LaMIS, IBSS NAS Ukraine Results of work (October 2009 – October 2010) 3-d meeting of the.
Database Overview What is a database? What types of databases are there? How are databases more powerful than spreadsheets?
A Collaboration Tool to Support Modeling Groups Donald W. Denbo JISAO/UW-NOAA/PMEL 20 th IIPS/AMS, 12 – 15 January, 2004,
2 nd training course – Ostende – May, 2014 What’s new in NEMO 1.5?
CTD Data Processing Current BIO Procedure. Current Processing Software Matlab Migrating to R & Python Code Version Control SVN Migrating to GitHub.
Data management dedicated for assessing and modeling of the Mediterranean and Black Seas ecosystem changes (SESAME integrated project). Isaac Gertman,
Ocean Data View Course Objective: Import, quality control and visualize own or external datasets. What you learn: Large publicly available datasets exist.
The SeaDataNet data products regional temperature and salinity historical data collections S. Simoncelli 1, C. Coatanoan 2, O. Bäck 3, H. Sagen 4, S.
Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research Data Quality Control and Visualization with Ocean Data View 4.
Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research Ocean Data View Achievements and Future Developments.
NcBrowse: OPeNDAP Server Access and 3-D Graphics Presented by Nancy N. Soreide NOAA/PMEL Donald W. Denbo UW/JISAO-NOAA/PMEL.
SeaDataNet Technical Task Group meeting JRA1 Standards Development Task 1.2 Common Data Management Protocol (for dissemination to all NODCs and JRA3) Data.
MIKADO – Generation of ISO – SeaDataNet metadata files
SeaDataNet tools NEMO, OCTOPUS, MIKADO
NEMO – Reformating tool
Implementing the New JCOMM Marine Climate Data System (MCDS)
Using Ocean Data View for EMODnet Chemistry Reiner Schlitzer
Creating Marine Data Scatter Plots in ODV
User working in web-browser
Argo Delayed-Mode Salinity Data
Flanders Marine Institute (VLIZ)
Introduction to Ocean Data View
INITIAL WORLD OCEAN DATABASE COLLECTION
FOLDER STRUCTURE FOR DATA FILES
Creating Marine Data Section Plots in ODV
Ocean Data View Reiner Schlitzer
Ocean Data View 4 - Data Quality Control Reiner Schlitzer
Ocean Data View 4 - Data Quality Control Reiner Schlitzer
ODV Gridding Methods Reiner Schlitzer
Ocean Data View Spreadsheet Format Reiner Schlitzer
Ocean Data View Reiner Schlitzer
ODV beta Multiple views, new views bar
Presentation transcript:

Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research Ocean Data View and itsRole in SeaDatanet and its Role in SeaDatanet

Ocean Data View Software for easy access, interactive analysis and visualization of profile or sequence data. Available for Windows, Mac OS X, Linux, and UNIX. Available for Windows, Mac OS X, Linux, and UNIX. Freely available for research and teaching. Freely available for research and teaching. Supports native ODV collection format and netCDF. Supports native ODV collection format and netCDF. Maintains data quality flags. Maintains data quality flags. Reads and imports all major oceanographic data formats including: Reads and imports all major oceanographic data formats including: World Ocean Database (WOD) format, World Ocean Database (WOD) format, various WOCE formats and data types, various WOCE formats and data types, ARGO profile and trajectory formats, ARGO profile and trajectory formats, SD2 format, SD2 format, various spreadsheet formats. various spreadsheet formats.

Station Selection Build large data collections Apply selection criteria Analyze station subset

STATION Mode

SCATTER Mode

SECTION Mode

SURFACE Mode

Overlays

Vector Plots

Patches

Animations

Gazetteers

ODV Data Format optimized for variable length profiles/sequences (original data or data products) optimized for variable length profiles/sequences (original data or data products) binary format providing dense storage and fast data access binary format providing dense storage and fast data access support for data quality flags support for data quality flags expandable expandable platform-independent platform-independent can be used for many different data types can be used for many different data types Many important oceanographic and other geo-referenced datasets are available for download as ready-to-use ODV collections…

Oceanography – Historical Data Reid & Mantyla South Atlantic Ventilation Experiment (SAVE)

Oceanography - WOCE

Other – River Discharge Vorosmarty, Fekete, and Tucker (1018 stations)

ODV’s Role in SeaDatanet 1.Provide access to SeaDatanet datastreams for scientific use. [uses common exchange formats (JRA1), provides linkage between data centers and scientific community, possible once SeaDatanet datasets are available] 2.Use ODV for quality control within SeaDatanet data centers. [usesSeaDatanet QC procedures and flagging schemes (JRA1), requires automatic tools for export from and re-import into native databases, should be implemented early on] [uses SeaDatanet QC procedures and flagging schemes (JRA1), requires automatic tools for export from and re-import into native databases, should be implemented early on] 3.Use ODV for capacity building and training [conduct training courses (NA3) and teach basic data handling and quality assurance procedures] Integrate ODV into the SeaDatanet framework and use it as a common data manipulation and visualization tool.

Data Editing and Quality Control easy spotting and identification of outliers or offsets easy spotting and identification of outliers or offsets painless editing of data value and quality flag painless editing of data value and quality flag logging of all value or flag modifications logging of all value or flag modifications automatic range checks and manual or automatic editing automatic range checks and manual or automatic editing

Manual Data Editing and Quality Control

Automatic Range Checks and Outlier Removal

ODV Integration into Data Center Operations CoreDatabase