HR: 0800h
AN: OS51A-1289 [Abstracts]
TI: Real Data and Rapid Results: Ocean Color Data Analysis with Giovanni (GES DISC Interactive Online
Visualization and ANalysis Infrastructure)
AU: Acker, J G
EM: acker@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center/Science Systems and Applications, Inc., NASA
Goddard Space Flight Center
Code 902, Greenbelt, MD 20771
United States
AU: * Leptoukh, G
EM: leptoukh@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, NASA Goddard Space Flight Center
Code 902, Greenbelt, MD 20771
United States
AU: Kempler, S
EM: kempler@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, NASA Goddard Space Flight Center
Code 902, Greenbelt, MD 20771
United States
AU: Gregg, W
EM: gregg@cabin.gsfc.nasa.gov
AF: NASA-GSFC Global Modeling and Assimilation Office, NASA Goddard Space Flight Center
Code 900.3, Greenbelt, MD 20771
United States
AU: Berrick, S
EM: sberrick@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center, NASA Goddard Space Flight Center
Code 902, Greenbelt, MD 20771
United States
AU: Zhu, T
EM: tzhu@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center/Science Systems and Applications, Inc., NASA
Goddard Space Flight Center
Code 902, Greenbelt, MD 20771
United States
AU: Liu, Z
EM: zliu@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center/ George Mason University, NASA Goddard Space
Flight Center
Code 902, Greenbelt, MD 20771
United States
AU: Rui, H
EM: rui@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center/Science Systems and Applications, Inc., NASA
Goddard Space Flight Center
Code 902, Greenbelt, MD 20771
United States
AU: Shen, S
EM: sshen@daac.gsfc.nasa.gov
AF: Goddard Earth Sciences Data and Information Services Center/ George Mason University, NASA Goddard Space
Flight Center
Code 902, Greenbelt, MD 20771
United States
AB:
The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) has taken a major step addressing the
challenge of using archived Earth Observing System (EOS) data for regional or global studies by developing an infrastructure
with a World Wide Web interface which allows online, interactive, data analysis: the GES DISC Interactive Online
Visualization and ANalysis Infrastructure, or "Giovanni." Giovanni provides a data analysis environment that is largely
independent of underlying data file format. The Ocean Color Time-Series Project has created an initial implementation of
Giovanni using monthly Standard Mapped Image (SMI) data products from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS)
mission. Giovanni users select geophysical parameters, and the geographical region and time period of interest. The
system rapidly generates a graphical or ASCII numerical data output. Currently available output options are: Area plot
(averaged or accumulated over any available data period for any rectangular area); Time plot (time series averaged over any
rectangular area); Hovm”ller plots (image view of any longitude-time and latitude-time cross sections); ASCII output for all
plot types; and area plot animations. Future plans include correlation plots, output formats compatible with Geographical
Information Systems (GIS), and higher temporal resolution data. The Ocean Color Time-Series Project will produce
sensor-independent ocean color data beginning with the Coastal Zone Color Scanner (CZCS) mission and extending through
SeaWiFS and Moderate Resolution Imaging Spectroradiometer (MODIS) data sets, and will enable incorporation of
Visible/Infrared Imaging Radiometer Suite (VIIRS) data, which will be added to Giovanni. The first phase of Giovanni will
also include tutorials demonstrating the use of Giovanni and collaborative assistance in the development of research projects
using the SeaWiFS and Ocean Color Time-Series Project data in the online Laboratory for Ocean Color Users (LOCUS). The
synergy of Giovanni with high-quality ocean color data provides users with the ability to investigate a variety of important
oceanic phenomena, such as coastal primary productivity related to pelagic fisheries, seasonal patterns and interannual
variability, interdependence of atmospheric dust aerosols and harmful algal blooms, and the potential effects of climate
change on oceanic productivity.
UR: http://reason.gsfc.nasa.gov/Giovanni/
DE: 4815 Ecosystems, structure and dynamics
DE: 4847 Optics
DE: 4894 Instruments and techniques
DE: 4275 Remote sensing and electromagnetic processes (0689)
SC: Ocean Sciences [OS]
MN: 2004 AGU Fall Meeting