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Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research Ocean Data View.

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Presentation on theme: "Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research Ocean Data View."— Presentation transcript:

1 Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research Ocean Data View

2 Software for easy access, interactive analysis and visualization of profile, time-series, trajectory or general sequence data. ODV Collection Format optimized for variable length profiles/sequences (original data or gridded data products) optimized for variable length profiles/sequences (original data or gridded 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 Available for Windows, Mac OS X, Linux, and UNIX. Available for Windows, Mac OS X, Linux, and UNIX. Supports native ODV collection format and netCDF. Supports native ODV collection format and netCDF. Reads and imports many oceanographic data formats, (e.g., WOD, ARGO, GTSPP, WOCE, SeaDataNet, MedAtlas, Sea-Bird…) Reads and imports many oceanographic data formats, (e.g., WOD, ARGO, GTSPP, WOCE, SeaDataNet, MedAtlas, Sea-Bird…)

3 Example Data Collections

4 12,470 stations 367,023 samples

5 2383 stations 46,124 samples

6 Supported Data Types

7 Profiles Ocean Atmosphere Ice Sediments, Soil, …

8 Ocean Timeseries Atmosphere Ice etc. …

9 Trajectories Underway Ship Data AUV, ROV, Glider or Towed Instrument Float Trajectories

10 Oceanography - WOCE

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

12 Other – Satellite Data (netCDF)

13 Data Window Types

14 STATION

15 SCATTER

16 SECTION

17 SURFACE

18 Special Features

19 Overlays

20 Vector Plots

21 Patches

22 Derived Variables

23 Data 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

24 full sample set full sample set sample sub-set Data Quality Control Subsampling and flexible use of value ranges

25 Gazetteers

26 Built-in Importers: U.S. NODC World Ocean Database GTSPP netCDF 4 files ARGO profile and trajectory data MEDAR/MEDATLAS data WOCE CTD and bottle data Sea-Bird.cnv files Various spreadsheet file formats

27 Spreadsheet Data Files

28 ODV4 – Application Window

29

30 ODV Website: http://odv.awi.de


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