Integrated Data Viewer The Integrated Data Viewer - IDV

The Integrated Data Viewer - IDV
An Analysis and Visualization Tool
for Earth Science Data
Don Murray
Jeff McWhirter
Unidata Program Center / UCAR
Boulder, CO

Overview
�� What is the IDV?
�� Why use the IDV?
�� IDV Visualization Examples
�� How is the IDV being used?
�� What’s What s next for IDV?
�� How can I get the IDV?

What is the IDV?
�� Visualization and analysis toolset for
data
�� Freely available Java Java framework
and application – multiplatform
�� Integrated 2D/3D/4D displays of a
wide range of data
�� Built on VisAD library (UW/SSEC)
�� Community driven capabilities

Why use the IDV?
Its USEFUL, CUSTOMIZABLE, EXTENSIBLE,
DAZZLING, FUN, and FREE!
“I I was floored at the capabilities of this
software. I've only been looking at for an
hour or two. WOW is all I can say! I'm
surprised nobody has mentioned this before.” before.
The IDV has the Fastest growing user base in
the international Unidata community

�� In Classroom:
IDV Benefits
• More sophisticated presentation of concepts
with real data
• Better prepares students entering the
atmospheric career field
�� In Research:
• Easy data access
• High level of interaction with data
• Platform independence allows for real-time real time
collaboration between researchers

IDV Examples
GFS Model Display

IDV Examples
GOES-EAST GOES EAST IR and Radar

IDV Examples
Wind Speed Isosurface and Contour Cross Section

IDV Examples
EUMETSAT Meteosat-8 3-Band True Color Image

IDV Examples
Mantle Convection, Strain rate, Tomography
GEON-IDV/UNAVCO
GEON IDV/UNAVCO

IDV Examples
Time Series Charts

IDV Examples
Model simulation of wind, isentropic potential
vorticity and low level moisture flow over the
Great Salt Lake basin

IDV Examples
TREX Field Project – GV Tracks

IDV Examples
Webcam Display

IDV Examples
WMS and Drawing Tool

IDV Features
�� Easy to run via installers and Java
Webstart
�� Out of the box data access
�� Versatile data interaction
• 2D/3D/4D views of 4D data!
• Probes to slice and dice – time series,
vertical profiles, etc.
�� Comprehensive user support
• Integrated documentation
• support-idv@unidata.ucar.edu
support idv@unidata.ucar.edu
• Training workshops

IDV Features
�� Bundles & new “Data Data Bundles” Bundles
�� Resource creation – color tables,
projections, station models
�� Highly Configurable
• Plug-ins Plug ins
• Multiple UIs & displays – 3D Map, 2D Map,
Globe, Transect
�� Formulas and computation using Jython
�� Scripting language - ISL

Supported Data Sources
�� Gridded data – netCDF, GRIB
�� Satellite imagery
�� Radar data – Level II and Level III
�� Point observations
�� Balloon soundings
�� NOAA Profiler network winds
NOAA Profiler network winds
�� Aircraft tracks
Aircraft tracks
�� Fronts
Fronts
�� HTML
�� GIS data - WMS, DEM, Shapefile
�� Quick Time movies
�� Web Cams
�� And more…
more

IDV Product Generation
IDV supports interactive and script
based generation of:
�� Images
�� Animation – Quick Time, animated
GIF, etc.
�� Google Earth KML/KMZ

IDV Community of Users
�� Universities
• Education
• Research (LEAD, GEON)
• Training (EUMETSAT, under evaluation)
�� UCAR (CGD, SCD, RAP, EOL, COMET)
�� US Government (NTSB, NCDC, NWS,
NGDC, USGS, EPA)
�� Military (NUWC, Air Force/ABL)
�� Private Industry
�� International (Gov. of Macau, Norwegian
Met. Institute)

Examples: Educational Modules
Project to develop IDV-based IDV based educational modules
�� PIs: Brian Etherton, Etherton,
Shelley Holmberg (UNC- (UNC
Charlotte), Jeff Weber (Unidata)
�� Educational modules:
• What climatological factors were present in
the 2005 Tropical Cyclone season to force the
most active season on record?
• Why was Hurricane Katrina so destructive?
• How did Hurricane Wilma become the most
intense hurricane in the Atlantic Basin?

“IDV IDV Perspective: Climatology of the 2005 Hurricane
Season” Season presented by Shelly at 2007 AMS Annual Meeting
A comparison of Relative Vorticity in the Atlantic basin for the
year 2005 (left panel) to climatology (1971-2001, and in right
panel) and displays the difference of the two in the center panel

Examples: IDV in LEAD
�� LEAD Visualization
Tool:
• WRF output from LEAD
workflow simulations
• Initial and boundary
conditions for workflow
• Compare results to
observations
�� LEAD-To LEAD To-LEARN LEARN
modules:
• Bundles associated with
on-line on line modules
• Support inquiry based
learning
Lake Effect Snow Module

Examples: IDV in Field Projects
�� Realtime aircraft tracks,
radar, dropsondes, dropsondes,
satellite
and model data in
operations center.
�� Project specific
customization
• Specialized maps,
locations, color tables
�� Visualization tool in the
proposed Virtual
Operations Center (VOC)
T-REX: G-V
tracks and
dropsondes
RICO: C130
track, SPOL
radar and
satellite

�� GEON project is “Unidata Unidata
for the solid earth
sciences” sciences
�� The GEON-IDV GEON IDV is an
extension of the Unidata
IDV
• Supports 2D and 3D
displays of subsurface
phenomena
• Uses plug-in plug in facility to
customize the user
interface and add
features
• Additional features
include GPS velocity
vectors, earthquake
focal mechanisms, ray
path traces.
Examples: GEON-IDV GEON IDV
Yellowstone Geophiscs: Earthquakes
Mt. and St. tomography Helens siesmic by Univ. activity Utah; 2004
topography from USGS; geology map
image provided by Robert L.
Christiansentens (UNAVCO)

Hyperspectral Data Research Application - HYDRA
Tom Rink, Paul Menzel, Tom Whittaker, Paolo Antonelli
University of Wisconsin-Madison, Wisconsin Madison, SSEC/CIMSS
Interrogate, analyze, visualize hyper- hyper and multi-spectral
multi spectral
satellite data
Access local (netCDF, HDF, AREA) or remote datasources
(OpenDAP, OpenADDE)
Spatial and spectral domain subsetting built in: critical for
detailed analysis of very large datasets
Freeware, based on the VisAD library: a state-of state of-the the-art art
interactive display and data integration API
Supported instruments include: MODIS, AIRS, GOES, MSG,
MAS, SHIS, CALIPSO. Has an abstract extensible data
interpretation layer which can extended to new
instruments and datasources.
datasources

Modis (Terra) Direct Broadcast overpass shown in HYDRA via
an OpenDAP server. Only the full resolution data in the green
box is loaded on the client. The histogram stretch utility has
be used to emphasize land features in band 1.

Comparison of high resolution spectra (AIRS), and water vapor
retrieval profiles at two locations over the Black Sea – one with
a higher amount of low level moisture – using HYDRA's
MultiChannelViewer.

Example of the Channel Combination and Scatter plot tools being used
to study the relationship between different MODIS bands over a region region
in Northern Wisconsin in an image scene with snow, ice, water and an
clouds.

Example of the transect plot tool being used with MSG SEVIRI,
obtained remotely via an ADDE server at Eumetsat.

L1B image overlayed by the MODIS fire product (MOD14) for a
region in Southern Africa.

Illustration of data fusion capabilities: Calispso track, green line on
AIRS image and corresponding track/altitude plot of the Lidar
backscatter.
backscatter

�� Next generation of
McIDAS will be based
on VisAD and IDV
�� Provides visualization
and analysis tools for
multi-spectral multi spectral and
hyper-spectral hyper spectral data.
�� HYDRA like
capabilities (BAMS,
Rink, et al, Feb 2007)
McIDAS-V McIDAS
Hyperspectral slicing using AIRS,
MODIS and Calypso data in McIDAS-V
(courtesy Tom Rink, SSEC)

What’s What s Next for IDV?
�� PostScript output
�� 2007 Developer’s Developer s training workshop
�� Scripting/Batch processing via Jython
�� New Data – ensemble grids
�� New Displays – better charting
capabilities, meteorograms
�� Additional computational &
diagnostic functions

�� IDV Homepage:
IDV Information
• http://www.unidata.ucar.edu/software/idv
�� LEAD-to LEAD to-LEARN LEARN modules
• http://www.atmos.millersville.edu/~lead/modules.htm
GEON-IDV
GEON IDV
• http://geon.unavco.org/unavco/IDV_for_GEON.html