Dynamic Quick View, interoperability and the future - PowerPoint PPT Presentation

1 / 19
About This Presentation
Title:

Dynamic Quick View, interoperability and the future

Description:

We have integrated our prototype with the MERSEA system (via OPeNDAP) ... Gives very fast previews of 4-D data on an interactive website ... – PowerPoint PPT presentation

Number of Views:15
Avg rating:3.0/5.0
Slides: 20
Provided by: rescR
Category:

less

Transcript and Presenter's Notes

Title: Dynamic Quick View, interoperability and the future


1
Dynamic Quick View, interoperability and the
future
  • Jon Blower, Keith Haines, Chunlei Liu, Alastair
    Gemmell
  • Environmental Systems Science Centre
  • University of Reading
  • United Kingdom

2
Introduction
  • We have developed an interactive website and map
    server for data visualization
  • work originated in UK e-Science programme and
    National Centre for Ocean Forecasting
  • Takes advantage of freely-available Web GIS tools
  • We have integrated our prototype with the MERSEA
    system (via OPeNDAP)
  • not yet an approved MERSEA service
  • We hope to demonstrate the exciting potential of
    this system and benefits of adherence to open
    standards
  • Will be very important in INSPIRE
  • Potential use is much wider than marine science

3
Dynamic Quick View (DQV) Service
  • Gives very fast previews of 4-D data on an
    interactive website
  • Reads data from OPeNDAP servers at the MERSEA
    TEPs
  • Draggable, zoomable map
  • Allows the fast creation of animations
  • Based on a standards-compliant Web Map Service

4
Selection of depth
Select from all the depth levels of the model
5
Selection of time (range)
Select from all the timesteps in the model
Selection of a time range leads to an animation
6
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
7
Timeseries plots
If a time range is selected, can create a
timeseries plot at a point
8
Export to Google Earth
  • DQV website contains link to load
    currently-visible data into Google Earth
  • Our WMS outputs in KMZ format
  • Can then view data alongside other KML datasets
  • e.g. DAMOCLES
  • Can view animations of data
  • No problem with map projections!

9
Visualize alongside third-party data
  • Hurricane Katrina, August 2005
  • Showing sea surface temperature (UK Met Office)
    and storm position/intensity (ECMWF)
  • Winds cause upwelling of cooler subsurface water
    on right-hand side of the cyclonic storm track

10
Selection of non-MERSEA datasets also available
Everything on the website can be exported to
Google Earth
11
The Web Map Service
  • DQV website is built on a custom-made WMS
  • backwards-compatible with OGC spec, version 1.3.0
  • Optimized for fast, dynamic generation of map
    images
  • Enhancements to allow changing of colour scale,
    generation of timeseries plots, etc
  • Reads data from CF-NetCDF files or OPeNDAP
    servers
  • reading directly from NetCDF is more efficient

WMS
OPeNDAP
NetCDF
12
Important features of our WMS implementation
  • Fast generation of images
  • Handling of four-dimensional data
  • Handling of data on unusual grids, e.g. NEMO
  • Dynamic change of colour scale extent
  • Generation of animations
  • Export to Google Earth

13
Current DQV architecture centralized
NetCDF
NetCDF
NetCDF
TEP 2
TEP 1
TEP 3
OPeNDAP
OPeNDAP
OPeNDAP
WMS
Requires minimal setup Single point of
failure Relies on fast, reliable OPeNDAP servers
DQV website
14
Possible future DQV architecture federated
NetCDF
TEP 1
NetCDF
TEP 2
NetCDF
TEP 3
OPeNDAP
WMS
OPeNDAP
WMS
OPeNDAP
WMS
Requires each TEP to install WMS No single point
of failure More efficient
DQV website
15
MERSEA data in third-party clients
16
In-situ data
  • Picture left shows comparison of NEMO model and
    observations for Nov 2004
  • Red dots show bad model-obs fits, green dots are
    good fits
  • Google Earth allows very efficient browsing of
    these large datasets
  • Could do the same for MERSEA systems, e.g.
    CORIOLIS
  • Could read obs and model data from different
    sources and bring together in Google Earth or
    another client

17
DQV future enhancements
  • Display of wind/current fields as vectors
  • Caching of image tiles for performance increase
  • Support for more map projections
  • E.g. polar stereographic
  • Display of observations on website
  • Integration with GeoServer, THREDDS
  • Requires community assistance
  • Lots more!

18
Conclusions
  • We have demonstrated a dynamic website for
    exploring MERSEA data quickly and interactively
  • Based on an OGC Web Map Service
  • but with important enhancements
  • other WMS implementations will not support all
    the features in DQV
  • Gives interoperability with third-party services
  • view MERSEA data alongside third-party data
  • will be important in INSPIRE
  • Exciting possibilities for the future!

19
Contact details
  • jdb_at_mail.nerc-essc.ac.uk
  • To find website
  • Google for "Godiva2"
Write a Comment
User Comments (0)
About PowerShow.com