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Underpinning technologies for oceanographic data sharing, visualization and analysis

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Title: Underpinning technologies for oceanographic data sharing, visualization and analysis


1
Underpinning technologies for oceanographic data
sharing, visualization and analysis
  • Jon Blower, University of Reading, UK
  • Frederique Blanc, CLS, France
  • Peter Cornillon, University of Rhode Island, USA
  • Steve Hankin, PMEL, USA
  • Thomas Loubrieu, IFREMER, France

2
?
3
Key technologies
  • NetCDF
  • Array-based, binary, platform-independent data
    format
  • CF
  • Metadata conventions
  • Spatial and temporal referencing
  • Controlled vocabulary
  • (See Steve Hankins poster)
  • OPeNDAP
  • Access remote data in same way as local files
  • Perform data subsetting on the server
  • Reduces network traffic

4
Matlab OPeNDAP toolbox
5
  • LAS is a Product Server
  • Reads data from network sources
  • Creates graphs, maps and file subsets

netCDF, HYCOM binary, ASCII, GIS layers
6
(No Transcript)
7
MERSEA Discovery
8
MERSEA Viewing services
9
MERSEA Download services (via OPeNDAP)
Search and subset criteria
THREDDS Data servers From TAC/MFC
Search and download
Relevant datasets
10
MERSEA information system
http//www.mersea.eu.org/ gt Access to Products
11
From MERSEA to MyOcean
12
The present
  • What we are good at
  • Sharing (most) gridded data within scientific
    community
  • Delivering basic information on the web
  • What we could be better at
  • Sharing in situ or remotely sensed data
  • Sharing data outside scientific community
  • Joining up our efforts

13
New frontiers 1Reaching new audiences
14
Open Geospatial Web Services
Web Feature Service
Simple features
Complex features
(plus many more, inc. Sensor Observation Service)
15
GIS compatibility through Web Map Services
16
Godiva2 interactive visualization on the web
  • Interactively explore 4D geospatial raster
    datasets on the web
  • (used in MERSEA as Dynamic Quick View)

http//www.reading.ac.uk/godiva2
17
Selection of depth
Select from all the depth levels of the model
18
Selection of time (range)
Select from all the timesteps in the model
Selection of a time range leads to an animation
19
Finding the data value at a point
Click on the data layer, data value and precise
position is shown
Lon -64.08 Lat 36.21 Value 19.27
20
Timeseries plots
If a time range is selected, can create a
timeseries plot at a point
21
Vector plots
22
Selection of colour palette
23
Contrast-stretching
  • Manual or automatic

24
Polar projections
25
Choice of background images
26
Search and Rescue
27
Search and Rescue
28
Summary open GIS technologies
  • Can help reach wide audience
  • KML (Google Earth) widely used for sharing
    geographic information
  • Web Mapping Services also emerging
  • Sharing real data is much harder

29
New frontiers 2data integration and
intercomparison


30
3. Integration of climate products and data
GHRSST-JPL
ECCO-JPL
AVISO
OSCAR
SODA
GODAS
31
Model-data intercomparison on the web
32
Model-data intercomparison on Google Earth
OceanDIVA
33
A vision
  • Low-cost creation of user applications through
    reuse of reliable tools and services
  • For all oceanographic data
  • On the web or the desktop
  • For a variety of users

34
What is needed to make this happen?
  • Close communication between users, technologists
    and data providers
  • Standards bodies must provide useful standards
    that achieve wide adoption
  • Sensible data access policies
  • Jim Gray May all your problems be technical
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