Giovanni: A System for Rapid Access, Visualization and Analysis of Earth Science Data Online

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Monday, 30 January 2006
Giovanni: A System for Rapid Access, Visualization and Analysis of Earth Science Data Online
Exhibit Hall A2 (Georgia World Congress Center)
S. Shen, George Mason Univ. and NASA/GSFC, Greenbelt, MD; and H. Rui, Z. Liu, T. Zhu, L. Lu, S. Berrick, G. Leptoukh, W. Teng, J. Acker, J. Johnson, A. Savtchenko, I. Gerasimov, S. Kempler, and S. P. Ahmad

Poster PDF (550.5 kB)

Collecting data and understanding data structures traditionally are the first steps that a user must take, before the core investigation can begin. This is a time-consuming and challenging task, especially when science objectives require users to deal with large multi-sensor data that are usually in different formats and internal structures. The Goddard Earth Sciences Data and Information Services Center (GES DISC) has created the GES DISC Interactive Online Visualization and ANalysis Infrastructure, “Giovanni,” to enable Web-based visualization and analysis of satellite remotely sensed meteorological, oceanographic, and hydrologic data sets, without users having to download data. The current operational Giovanni interfaces provide the capability to process a number of important satellite measurements, such as: (1) ozone and other trace gases from TOMS, OMI, HALOE, and MLS; (2) air temperature, water vapor, and geopotential height profiles from AIRS; (3) aerosols from MODIS Terra/Aqua, and GOCART model; (4) precipitation from TRMM and ground measurements; (5) chlorophyll and other ocean color products from SeaWiFS and MODIS Aqua; and (6) sea surface temperature from MODIS Aqua. Depending on the input data structure, the system provides simple statistical analysis and creates time-averaged area plot, area-averaged time series, animations, Hovmoller latitude vs. time and longitude vs. time plots, as well as vertical profiles. The inter-comparison interfaces allow a user to compare observations from different instruments, to conduct anomaly analysis, and to study basic relationships between physical parameters. Giovanni handles data with different temporal and spatial resolutions and, thus, enables both regional and global long-term climate research and short-term special events investigation, as well as data validations and assessments. Because of its simplicity of usage, Giovanni is powerful and versatile, able to assist a wide range of users, from the discipline scientists conducting preliminary research in various fields, to students in the classroom learning about weather, climate, and other natural phenomena. Giovanni can be accessed from: http://disc.gsfc.nasa.gov/techlab/giovanni/index.shtml