Difference between revisions of "GIOVANNI"
| (16 intermediate revisions by 3 users not shown) | |||
| Line 7: | Line 7: | ||
|DataSystemHistory=The Goddard Earth Science Data and Information Services Center (GES DISC) developed Giovanni to easily explore, inter-compare, and analyze data using only a Web browser. Giovanni employs scientifically valid algorithms and a rich schema for describing data parameters, a combination that provides users with scientifically meaningful results. This, sometimes subtle, distinction is often overlooked in other online data visualization and analysis tools. The current version of Giovanni, version 3, evolved from the successes of previous versions that emphasized a simple interface, rapid image rendering, and scientifically valid processing that correctly accounted for the algorithms employed (including underlying assumptions). Based on Common Gateway Interface (CGI) Perl scripts, HyperText Markup Language (HTML) templates, and GrADS (Grid Analysis and Display System) scripts, the early versions of Giovanni were enormously successful and deployments at the GES DISC quickly proliferated. Although successful, the architecture was based on old technology. The costs to maintain and extend Giovanni for new science driven requirements and for supporting standard interfaces and protocols became too great. As a result, a radical departure for a new Giovanni architecture was undertaken. The result was Giovanni, version 3. Giovanni is based on a services oriented architecture (SOA) supported by a workflow management system. It is designed to be extensible with respect to new science requirements and interoperable with standard protocols and data formats. | |DataSystemHistory=The Goddard Earth Science Data and Information Services Center (GES DISC) developed Giovanni to easily explore, inter-compare, and analyze data using only a Web browser. Giovanni employs scientifically valid algorithms and a rich schema for describing data parameters, a combination that provides users with scientifically meaningful results. This, sometimes subtle, distinction is often overlooked in other online data visualization and analysis tools. The current version of Giovanni, version 3, evolved from the successes of previous versions that emphasized a simple interface, rapid image rendering, and scientifically valid processing that correctly accounted for the algorithms employed (including underlying assumptions). Based on Common Gateway Interface (CGI) Perl scripts, HyperText Markup Language (HTML) templates, and GrADS (Grid Analysis and Display System) scripts, the early versions of Giovanni were enormously successful and deployments at the GES DISC quickly proliferated. Although successful, the architecture was based on old technology. The costs to maintain and extend Giovanni for new science driven requirements and for supporting standard interfaces and protocols became too great. As a result, a radical departure for a new Giovanni architecture was undertaken. The result was Giovanni, version 3. Giovanni is based on a services oriented architecture (SOA) supported by a workflow management system. It is designed to be extensible with respect to new science requirements and interoperable with standard protocols and data formats. | ||
|DataSystemAgencies=NASA | |DataSystemAgencies=NASA | ||
| − | |DataSystemParam=More | + | |DataSystemRef=Berrick, S., Leptoukh, G., Farley, J., & Rui, H. (2009). Giovanni: A Web services workflow-based data visualization and analysis system. IEEE Trans. Geosci. Remote Sens., 47(1), 106-113 |
| + | |||
| + | Acker, J. and G. Leptoukh, 2007. Online Analysis Enhances Use of NASA Earth Science Data, EOS, Transactions of American Geophysical Union, 88, 14 | ||
| + | |||
| + | Chen, A., Leptoukh, G., Kempler, S., Nadeau, D. and Zhang, X. 2008. Augmenting the Research Value of Geospatial Data using Google Earth. Journal of the Virtual Explorer, Electronic Edition, 29, paper 100. | ||
| + | |||
| + | Savtchenko, A., Kummerer, R., Smith, P., Gopalan, A., Kempler, S., and Leptoukh, G., 2008. A-Train Data Depot - Bringing Atmospheric Measurements Together, IEEE Trans. on Geoscience and Remote Sensing,46, 2788-2795 | ||
| + | |||
| + | Ahmad, S., G. Leptoukh, J. Johnson, J. Farley, S. Kempler, Global Monitoring of Atmospheric Pollutants from the Aura Satellite, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA. | ||
| + | |||
| + | Berrick, S., G. Leptoukh, C. Lynnes, GES DISC Interoperable Services for Atmospheric Data The 2007 Summer Federation of Earth Science Information Partners (ESIP) Conference, Madison, Wisconsin, July 17-20, 2007. | ||
| + | |||
| + | Aijun Chen, Gregory Leptoukh, Liping Di, Christopher Lynnes, Steven Kempler and Denis Nadeau, NASA A-Train Vertical Data (.Curtains.) in Google Earth, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA. | ||
| + | |||
| + | Johnson, J., Ahmad, S., Leptoukh, G., Gerasimov, I., Farley, J., Zhu, T., Enhanced Capabilities for Aura MLS, OMI and HIRDLS Data Within Giovanni, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA. View Poster | ||
| + | |||
| + | Steve Kempler, Cloudsat, CALIOP, MODIS, AIRS, OMI, and POLDER Data Search and Visualization Available to Facilitate Multi Instrument Cloud Studies Along the A-Train Path, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA. | ||
| + | |||
| + | Leptoukh, G., Zubko, V., Gopalan, A., Remer, L., Intercomparison of Atmospheric Aerosol Climatologies Obtained From Passive Satellite Instruments, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA | ||
| + | |||
| + | Ana Prados, Gregory Leptoukh, Erica J. Alston, and Irina N. Sokolik, Assessing U.S Air Quality Using CALIPSO and MODIS Data via Giovanni, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA. | ||
| + | |||
| + | Hualan Rui, John Farley, Gregory Leptoukh, Stephen Berrick, New Data and Capabilities in the NASA Goddard Giovanni System, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA. | ||
| + | |||
| + | Savtchenko, A. R. Kummerer, P. Smith, S. Kempler, G. Leptoukh, A-Train Data Depot Bringing Atmospheric Measurements Together International Geoscience and Remote Sensing Symposium (IGARSS), Barcelona, Spain, July 23-27, 2007. | ||
| + | |||
| + | Peter Smith, Steve Kempler, Greg Leptoukh, Andrey Savtchenko, Graeme Stephens, Dave Winker, Multi-Sensor Data From A-Train Instruments Brought Together for Atmospheric Research, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA | ||
| + | |||
| + | Viktor Zubko, Gregory Leptoukh, Arun Gopalan, Merging MODIS Terra and Aqua Level 3 Aerosol Optical Thickness for Giovanni Online Data Analysis and Visualization, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA. | ||
| + | |DataSystemDataSets=OMI-Aura, MLS-Aura, HIRDLS-Aura, AIRS-Aqua, MODIS-Terra, MODIS-Aqua, TRMM, MISR, SeaWiFS, TOMS, CALIPSO, CloudSat, Polder, MERIS | ||
| + | |DataSystemParam=More 1200 geophysical parameters measured by sensors onboard satellites and from models. | ||
|DataSystemCoverage=Global | |DataSystemCoverage=Global | ||
|DataSystemAppHealth=Indirect - air pollution, humidity, temperature, etc. | |DataSystemAppHealth=Indirect - air pollution, humidity, temperature, etc. | ||
| + | |DataSystemAppFcstReAnaly=MERRA: MODERN ERA RETROSPECTIVE-ANALYSIS FOR RESEARCH AND APPLICATIONS (1979 – 2008) NASA reanalysis of atmospheric observations from using GEOS-5, focusing on hydrological cycle, resolution 1/2x2/3x72 | ||
| + | |||
|DataSystemAppModelEval=GOCART, GEOS-5, LDAS | |DataSystemAppModelEval=GOCART, GEOS-5, LDAS | ||
| + | |PrimaryDataStorage=OMI, MLS, HIRDLS, AIRS, TRMM, TOMS | ||
| + | |DataSystemValueConsolidation=CALIPSO, CloudSat, MODIS | ||
|DataSystemValueAccess=Giovanni provides access to the original and their subsets in various formats: HDF, netCDF, ASCII, kml/kmz (for Google Earth) | |DataSystemValueAccess=Giovanni provides access to the original and their subsets in various formats: HDF, netCDF, ASCII, kml/kmz (for Google Earth) | ||
|DataSystemValueProcess=S4PM, Giovanni workflow | |DataSystemValueProcess=S4PM, Giovanni workflow | ||
|DataSystemValueVis=Plot Types for Single Parameters: | |DataSystemValueVis=Plot Types for Single Parameters: | ||
| − | + | * Area plots of time-averaged parameters | |
| − | + | * Time series plots of area-averaged parameters | |
| − | + | * Meridional averages | |
| − | + | * Zonal averages | |
| − | + | * Vertical profiles | |
| − | + | * Longitude-latitude-pressure-time cross sections | |
Plot Types for Multi-Parameter Intercomparisons: | Plot Types for Multi-Parameter Intercomparisons: | ||
| − | + | * Area plots of overlain time-averaged parameters | |
| − | + | * Time series plots of area-averaged parameters | |
| − | + | * Difference plots | |
| − | + | * Scatter plots with regression | |
| − | + | * Temporal correlation maps | |
| − | |||
Animations | Animations | ||
Climatology and anomalies | Climatology and anomalies | ||
ASCII output for maps and plots | ASCII output for maps and plots | ||
Web services for downloading subsetted data | Web services for downloading subsetted data | ||
| + | |EndtoEndIntegration=Complete end-to-end chains starting from the original data source via various protocols are integrated together into Giovanni instances | ||
| + | |DataSystemArchInterop=SOA, WMS, WCS, OPeNDAP, custom arrangements | ||
|DataSystemArchToolsMethods=GrADS, IDL, Python, Perl | |DataSystemArchToolsMethods=GrADS, IDL, Python, Perl | ||
| − | |||
Aggregation, statistics | Aggregation, statistics | ||
|DataSystemArchUserFeedbck=Msgs to giovanni listserv | |DataSystemArchUserFeedbck=Msgs to giovanni listserv | ||
}} | }} | ||
Latest revision as of 17:26, January 31, 2009
<Back to Data Summit Workspace <All Data Systems
Edit with Form or Submit Word Doc
General
Contact
Data System Name: GIOVANNI
Data System URL: http://giovanni.gsfc.nasa.gov/
Contact Person: Gregory Leptoukh
Contact e-mail: Gregory.Leptoukh@nasa.gov
Background
About the Data System (Purposes, Audience)
The Goddard Online Interactive Visualization ANd aNalysis Infrastructure or "Giovanni" is an online tool allowing researchers, students, and application users to easily explore, inter-compare, and analyze remote sensing data using only a Web browser.
Presentation
History
The Goddard Earth Science Data and Information Services Center (GES DISC) developed Giovanni to easily explore, inter-compare, and analyze data using only a Web browser. Giovanni employs scientifically valid algorithms and a rich schema for describing data parameters, a combination that provides users with scientifically meaningful results. This, sometimes subtle, distinction is often overlooked in other online data visualization and analysis tools. The current version of Giovanni, version 3, evolved from the successes of previous versions that emphasized a simple interface, rapid image rendering, and scientifically valid processing that correctly accounted for the algorithms employed (including underlying assumptions). Based on Common Gateway Interface (CGI) Perl scripts, HyperText Markup Language (HTML) templates, and GrADS (Grid Analysis and Display System) scripts, the early versions of Giovanni were enormously successful and deployments at the GES DISC quickly proliferated. Although successful, the architecture was based on old technology. The costs to maintain and extend Giovanni for new science driven requirements and for supporting standard interfaces and protocols became too great. As a result, a radical departure for a new Giovanni architecture was undertaken. The result was Giovanni, version 3. Giovanni is based on a services oriented architecture (SOA) supported by a workflow management system. It is designed to be extensible with respect to new science requirements and interoperable with standard protocols and data formats.
Agencies
NASA
List of Publications, Papers, Presentations
Berrick, S., Leptoukh, G., Farley, J., & Rui, H. (2009). Giovanni: A Web services workflow-based data visualization and analysis system. IEEE Trans. Geosci. Remote Sens., 47(1), 106-113
Acker, J. and G. Leptoukh, 2007. Online Analysis Enhances Use of NASA Earth Science Data, EOS, Transactions of American Geophysical Union, 88, 14
Chen, A., Leptoukh, G., Kempler, S., Nadeau, D. and Zhang, X. 2008. Augmenting the Research Value of Geospatial Data using Google Earth. Journal of the Virtual Explorer, Electronic Edition, 29, paper 100.
Savtchenko, A., Kummerer, R., Smith, P., Gopalan, A., Kempler, S., and Leptoukh, G., 2008. A-Train Data Depot - Bringing Atmospheric Measurements Together, IEEE Trans. on Geoscience and Remote Sensing,46, 2788-2795
Ahmad, S., G. Leptoukh, J. Johnson, J. Farley, S. Kempler, Global Monitoring of Atmospheric Pollutants from the Aura Satellite, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA.
Berrick, S., G. Leptoukh, C. Lynnes, GES DISC Interoperable Services for Atmospheric Data The 2007 Summer Federation of Earth Science Information Partners (ESIP) Conference, Madison, Wisconsin, July 17-20, 2007.
Aijun Chen, Gregory Leptoukh, Liping Di, Christopher Lynnes, Steven Kempler and Denis Nadeau, NASA A-Train Vertical Data (.Curtains.) in Google Earth, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA.
Johnson, J., Ahmad, S., Leptoukh, G., Gerasimov, I., Farley, J., Zhu, T., Enhanced Capabilities for Aura MLS, OMI and HIRDLS Data Within Giovanni, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA. View Poster
Steve Kempler, Cloudsat, CALIOP, MODIS, AIRS, OMI, and POLDER Data Search and Visualization Available to Facilitate Multi Instrument Cloud Studies Along the A-Train Path, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA.
Leptoukh, G., Zubko, V., Gopalan, A., Remer, L., Intercomparison of Atmospheric Aerosol Climatologies Obtained From Passive Satellite Instruments, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA
Ana Prados, Gregory Leptoukh, Erica J. Alston, and Irina N. Sokolik, Assessing U.S Air Quality Using CALIPSO and MODIS Data via Giovanni, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA.
Hualan Rui, John Farley, Gregory Leptoukh, Stephen Berrick, New Data and Capabilities in the NASA Goddard Giovanni System, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA.
Savtchenko, A. R. Kummerer, P. Smith, S. Kempler, G. Leptoukh, A-Train Data Depot Bringing Atmospheric Measurements Together International Geoscience and Remote Sensing Symposium (IGARSS), Barcelona, Spain, July 23-27, 2007.
Peter Smith, Steve Kempler, Greg Leptoukh, Andrey Savtchenko, Graeme Stephens, Dave Winker, Multi-Sensor Data From A-Train Instruments Brought Together for Atmospheric Research, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA
Viktor Zubko, Gregory Leptoukh, Arun Gopalan, Merging MODIS Terra and Aqua Level 3 Aerosol Optical Thickness for Giovanni Online Data Analysis and Visualization, 2007 AGU Fall Meeting, December 10-14, San Francisco, CA.
Data System Scope
Data Content
Datasets Served
OMI-Aura, MLS-Aura, HIRDLS-Aura, AIRS-Aqua, MODIS-Terra, MODIS-Aqua, TRMM, MISR, SeaWiFS, TOMS, CALIPSO, CloudSat, Polder, MERIS
Parameters
More 1200 geophysical parameters measured by sensors onboard satellites and from models.
Spatial - Temporal Coverage
Global
Applications/Potential
Health
Indirect - air pollution, humidity, temperature, etc.
Forecasting and Reanalysis
MERRA: MODERN ERA RETROSPECTIVE-ANALYSIS FOR RESEARCH AND APPLICATIONS (1979 – 2008) NASA reanalysis of atmospheric observations from using GEOS-5, focusing on hydrological cycle, resolution 1/2x2/3x72
Model/Emissions Evaluation
GOCART, GEOS-5, LDAS
Characterization, Trends, Accountability
Not Given
Other
Not Given
Data System IT
Primary/Official Store for Some data
OMI, MLS, HIRDLS, AIRS, TRMM, TOMS
Data Consolidation/integration
CALIPSO, CloudSat, MODIS
Providing Data Access to users/externals
Giovanni provides access to the original and their subsets in various formats: HDF, netCDF, ASCII, kml/kmz (for Google Earth)
Data Processing
S4PM, Giovanni workflow
Visualization/Analysis
Plot Types for Single Parameters:
- Area plots of time-averaged parameters
- Time series plots of area-averaged parameters
- Meridional averages
- Zonal averages
- Vertical profiles
- Longitude-latitude-pressure-time cross sections
Plot Types for Multi-Parameter Intercomparisons:
- Area plots of overlain time-averaged parameters
- Time series plots of area-averaged parameters
- Difference plots
- Scatter plots with regression
- Temporal correlation maps
Animations Climatology and anomalies ASCII output for maps and plots Web services for downloading subsetted data
Decision Support (e.g. some integration into user business process)
Not Given
End-to-End Integration
Complete end-to-end chains starting from the original data source via various protocols are integrated together into Giovanni instances
Other DS Values
Not Given
Data Access and/or Output Interoperability
SOA, WMS, WCS, OPeNDAP, custom arrangements
Reusable Tools and Methods
GrADS, IDL, Python, Perl Aggregation, statistics
Security Barriers and Solutions
Not Given
User Feedback Approach
Msgs to giovanni listserv
Other Architecture
Not Given
User Provided Content
