National Center for Supercomputing Applications GLORIAD Science Applications Astronomy – Virtual Observatories Global Climate Change Richard M. Crutcher Professor of Astronomy, University of Illinois and Senior Associate Director for Applications, National Center for Supercomputing Applications
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National Center for Supercomputing Applications GLORIAD Science Applications Astronomy – Virtual Observatories Global Climate Change Richard M. Crutcher.
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– Infrastructure that enables difficult science• handling large datasets• integrating diverse data• integrating computational services
– Standards for interoperable information & data exchange
What is the NVO?
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National Center for Supercomputing Applications
National Center for Supercomputing Applications
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Example of research with the NVO
Cluster Galaxy Morphology AnalysisIntegrating Grid-based data archives
and computations
National Center for Supercomputing Applications
Galaxy Morphology: Science Goals• Investigate the dynamical state of galaxy clusters • Study galaxy evolution within context of large-scale
structure• Use galaxy morphology as probe of dynamical history:
For each galaxy in cluster, calculate three morphological parameters:• Surface Brightness
• Concentration Index
• Asymmetry Index
Compare parameters with other previously measured indicators:magnitude, color, peculiar velocity, position in cluster, x-ray gas emission
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Galaxy Morphology: Procedure1. Choose a cluster
2. Obtain images of cluster from the optical & x-ray bandsshows 2 views of the large-scale structure of cluster
3. Create a catalog of galaxies in the cluster collect interesting properties of galaxies from existing catalogs
4. Obtain images of individual galaxies
“cutouts” from larger images using cutout service
5. Calculate morphology parameters from image cutouts
6. Merge calculated values into galaxy catalog
7. Visualize the results
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Enabling Standards & Technologies• Data Formats
– FITS – an existing standard for astronomical images & tables– VOTable – an XML schema for transmitting astronomical tables
• Data Access Protocols– Cone Search – for searching catalogs by sky position
– Simple Image Access (SIA) – to search for/create images based on sky position
HTTP Get Queries return VOTable documents prototypes!
• Grid Technologies– Chimera & Pegasus – virtual data catalog and workflow management
• Replica Catalog Service – built-in caching of results on the grid
– Condor
Cluster Galaxy Morphology Analysis Portal
1.User’s Machine
webbrowser
User selectsa cluster
How it works
National Center for Supercomputing Applications
Cluster Galaxy Morphology Analysis Portal
clusters
2. Look up clusterin internally storedcatalog
1.User’s Machine
webbrowser
User selectsa cluster
How it works
National Center for Supercomputing Applications
Cluster Galaxy Morphology Analysis Portal
clusters
Chandra SIA
Skyview SIA
DSS SIA
2. Look up clusterin internally storedcatalog
1.User’s Machine
webbrowser
User selectsa cluster
3. X-ray and Optical Images retrieved via SIA interface
How it works
National Center for Supercomputing Applications
Cluster Galaxy Morphology Analysis Portal
clusters
Chandra SIA
Skyview SIA
DSS SIA
2. Look up clusterin internally storedcatalog
1.User’s Machine
webbrowser
User selectsa cluster
3. X-ray and Optical Images retrieved via SIA interface
How it works
4. User launchesgrid-based analysis
National Center for Supercomputing Applications
Cluster Galaxy Morphology Analysis Portal
clusters
Chandra SIA
Skyview SIA
DSS SIA
2. Look up clusterin internally storedcatalog
1.User’s Machine
webbrowser
User selectsa cluster
3. X-ray and Optical Images retrieved via SIA interface
4. User launchesgrid-based analysis
NED Cone Search
CADC CNOC Cone Search
5. Initial Galaxy Catalog generated via Cone Search
How it works
National Center for Supercomputing Applications
Cluster Galaxy Morphology Analysis Portal
clusters
Chandra SIA
Skyview SIA
DSS SIA
2. Look up clusterin internally storedcatalog
1.User’s Machine
webbrowser
User selectsa cluster
3. X-ray and Optical Images retrieved via SIA interface
4. User launchesgrid-based analysis
NED Cone Search
CADC CNOC Cone Search
5. Initial Galaxy Catalog generated via Cone Search
DSS SIA
CNOC SIA
6. Image cutout pointers merged into catalog
How it works
National Center for Supercomputing Applications
Cluster Galaxy Morphology Analysis Portal
clusters
Chandra SIA
Skyview SIA
DSS SIA
2. Look up clusterin internally storedcatalog
1.User’s Machine
webbrowser
User selectsa cluster
3. X-ray and Optical Images retrieved via SIA interface
4. User launchesgrid-based analysis
NED Cone Search
CADC CNOC Cone Search
5. Initial Galaxy Catalog generated via Cone Search
DSS SIA
CNOC SIA
6. Image cutout pointers merged into catalog
Morphology CalculationService
7. Morphological parameters calculated on grid for each galaxy
How it works
National Center for Supercomputing Applications
Cluster Galaxy Morphology Analysis Portal
clusters
Chandra SIA
Skyview SIA
DSS SIA
2. Look up clusterin internally storedcatalog
1.User’s Machine
webbrowser
User selectsa cluster
3. X-ray and Optical Images retrieved via SIA interface
4. User launchesgrid-based analysis
NED Cone Search
CADC CNOC Cone Search
5. Initial Galaxy Catalog generated via Cone Search
DSS SIA
CNOC SIA
6. Image cutout pointers merged into catalog
8.
How it works
Morphology CalculationService
7. Morphological parameters calculated on grid for each galaxy
National Center for Supercomputing Applications
User downloads final table and images for analysis, visualization
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National Center for Supercomputing Applications
National Center for Supercomputing Applications
National Center for Supercomputing Applications
National Center for Supercomputing Applications
Global Climate ChangeMajor Global Climate Change Concerns• Climate Change (“Global Warming”)• Stratospheric ozone depletion• Impacts on global air quality• Biodiversity and biospheric changesScientific requirements to resolve uncertainty and develop
meaningful policy• Require extensive use of large datasets from numerical
models & many observational programs• Require extensive international coordination in the
development and analysis of these datasets
Climate change as our example
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Climate change is one of the biggest issues confronting humanity in the 21st century
Climate is the averaged trend of weather, or the typically expected conditions
Heat trapping gases emitted from human activities are driving significant changes in the climate
Climate change magnifies existing health, environmental and social problems
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Temperature anomalies = change in temperature relative to 1880-1920
Natural forcing only Human forcing only
All forcings
Evaluation of the Change in Annual Global TemperatureEvaluation of the Change in Annual Global Temperature
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Projected Global Surface
Temperature Response:
~ 1.5 to 5.8 °C by 2100
Relative to 1990
Ensemble of Climate Models
Derived Change in Annual Temperature for 2071-2100 relative to 1961-1990
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Concerns about Concerns about Impacts of Climate Impacts of Climate
Change are at the Change are at the Local to Regional Local to Regional
• Outputs from the large scale climate model are not adequate
– Global climate projections better understood than regional effects.
– Global models have grids of roughly 200 km x 200 km or bigger
– Need analyses to 10 to 30 km to capture local variations and impacts
• A complete assessment of climate change on human, ecological, and other systems is complicated by other stresses on these systems – many of which are human-related
– Multiple approaches and datasets need to be considered
• Dynamical downscaling approaches are being developed
– Regional scale models at the 10-50 km resolution or incorporation of nested grids at this resolution into global models
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Large datasets need to be shared to resolve global change issues
Measurementdataset
User
SatelliteDataset
Modeling Dataset
User User
UserUser
UIUC Russia
NCAR
China
This requires Gbps capacity
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Richard M. Crutcher
Professor of Astronomy, University of Illinoisand
Senior Associate Director for Applications,National Center for Supercomputing Applications