| | GIOVANNI |
Contactemail
Gregory.Leptoukh@nasa.gov
ContactName
Gregory Leptoukh
DataSystemAgencies
NASA
DataSystemName
GIOVANNI
DataSystemURL
http://giovanni.gsfc.nasa.gov/
PresentationURL
Not Given
About
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.
DataSystemAppCharact
Not Given
DataSystemAppFcstReAnaly
Not Given
DataSystemAppHealth
Indirect - air pollution, humidity, temperature, etc.
DataSystemAppModelEval
GOCART, GEOS-5, LDAS
DataSystemAppOther
Not Given
DataSystemArchInterop
SOA, WMS, WCS, OPeNDAP, custom arrangements
DataSystemArchOther
Not Given
DataSystemArchSecurity
Not Given
DataSystemArchToolsMethods
GrADS, IDL, Python, Perl
Aggregation, statistics
DataSystemArchUserFeedbck
Msgs to giovanni listserv
DataSystemCoverage
Global
DataSystemDataSets
OMI-Aura, MLS-Aura, HIRDLS-Aura, AIRS-Aqua, MODIS-Terra, MODIS-Aqua, TRMM, MISR, SeaWiFS, TOMS, CALIPSO, CloudSat
DataSystemHistory
The Goddard Earth Science Data and Informa … 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. with standard protocols and data formats.
DataSystemParam
More 500 geophysical parameters measured by sensors onboard satellites and from models.
DataSystemRef
Acker, J. and G. Leptoukh, 2007. Online An … Acker, J. and G. Leptoukh, 2007. Online Analysis Enhances Use of NASA Earth Science Data, EOS, Transactions of American Geophysical Union, 88, 14
Savtchenko, A., Kummerer, R., Smith, P., Gopalan, A., Kempler, S., and Leptoukh, G., 2007. A-Train Data Depot - Bringing Atmospheric Measurements Together, IEEE Trans. on Geoscience and Remote Sensing, accepted
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. eeting, December 10-14, San Francisco, CA.
DataSystemValueAccess
Giovanni provides access to the original and their subsets in various formats: HDF, netCDF, ASCII, kml/kmz (for Google Earth)
DataSystemValueConsolidation
CALIPSO, CloudSat, MODIS
DataSystemValueDecisionSupport
Not Given
DataSystemValueOther
Not Given
DataSystemValueProcess
S4PM, Giovanni workflow
DataSystemValueVis
Plot Types for Single Parameters:
* Area p … 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 eb 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
PrimaryDataStorage
OMI, MLS, HIRDLS, AIRS, TRMM, TOMS
Categories DataSystem +
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