Giovanni was the subject of many lively discussions and presentations at the recent 2005 fall meeting of the American Geophysical Union (AGU) in San Francisco. Below are listed the posters and presentations in which Giovanni played a vital role.
Atmospheric Trace Gases, Aerosols and Cloud Data From Aura OMI
Suraiya. P. Ahmad, P. F. Levelt, E. Hilsenrath, J. Tamminen, P. K. Bhartia, P. J. Veefkind, G. H. J. van den Oord, J. Joiner, A. Fleig, J. Johnson, I. Gerasimov, P. Smith, G. Leptoukh, S. Kempler
Aura OMI (launched July 2004) is a nadir imaging sensor which measures ultraviolet (UV) & visible solar Earth atmospheric radiances in the wavelength range of 270 to 500 nm with a spectral resolution of about 0.5 nm and a spatial resolution of 13 x 24km² at nadir. OMI is the primary instrument on Aura for tracking the expected recovery of the ozone layer, the sources of aerosol and its transport over the oceans and continents, and trace gases that affect air quality. The primary data product from OMI is total column ozone. The other key products are nitrogen dioxide, sulfur dioxide, aerosols, and tropospheric ozone (four of the U.S. Environmental Protection Agency's six criteria pollutants), along with formaldehyde, bromine monoxide, chlorine dioxide, cloud fraction and height, and surface Erythernal UV-B irradiances.
View the poster (JPEG image, 1.2 MB)
Preparing NASA Atmospheric Measurement Data Exploration Tools for NPOESS Data Analysis and Visualization
Gregory Leptoukh, S. Kempler, S. Ahmad, I. Gerasimov, J. Johnson, S. Berrick
The NASA Goddard Space Flight Center (GSFC) Earth Science (GES) Atmospheric Composition Data and Information Services Center (ACDISC), known for its development and deployment of responsive, user oriented, data management and value added data tools, has implemented a visualization and analysis tool that is rapidly receiving much use by the Atmospheric Composition (AC) community. Giovanni, as it is called, has been developed in consultation with members of the user community who require quick search, subsetting, and display capabilities fordata of interest to them. Giovanni is capable of producing area plots, time-series plots, Hovmoller plots, ASCII output, image animation, and parameter intercomparisons (time-series, scatter plots, correlations, etc.).
View the poster (JPEG image, 1.1 MB)
A-Train Data Depot
Gregory Leptoukh, S. Kempler, P. Smith, G. Stevens, D. Reinke, D. Winker
The A-Train is a succession of six U.S. and international sun-synchronous orbit satellites seconds to minutes apart across the 1:30 p.m. local afternoon equator crossing time according to the sequence: OCO, Aqua, CloudSat, CALIPSO, PARASOL, and Aura. Flying in such a formation increases the number of observations and enables coordination between science observations resulting in a more complete "virtual science platform." The A-Train formation allows for synergistic measurements where data from several different satellites can be used together to obtain comprehensive information about various key atmospheric components and processes.
View the poster (JPEG image, 1.5 MB)
Giovanni: A System for Rapid Access, Visualization and Analysis of Earth Science Data Online
Suhung Shen, H. Rui, Z. Liu, T. Zhu, L. Lu, S. Berrick, G. Leptoukh, W. Teng, J. Acker, J. Johnson, S. Ahmad, A. Savtchenko, I. Gerasimov, A. Gopalan, S. Kempler
Collecting data and understanding data structures are traditionally the first steps 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 sets that are usually in different formats and have different 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 visualizations and analysis of satellite remotely sensed meteorological, oceanographic, and hydrologic data sets without users having to download data. Depending on the input data structure, the system provides different simple statistical analyses and creates many plot type images or ASCII output. 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.
View the poster (JPEG image, 1.1 MB)
Enhancing Access to NASA Data via Seamless Integration Into Decision Support Systems
William Teng, H. Rui, N. Rishe, R. Tetrault
The amount and variety of information that can be extracted from NASA satellite data form a rich resource that is largely untapped by the applications user community. In part, this is because of the complexity and costof using such data. Many approaches, such as subsetting, have been taken to ameliorate this situation. Mostly, however, they havenot sufficiently addressed the core needs of the applications community. The latter is generally not interested in the data per se (e.g. how they are processed), but rather in the specific measurements (e.g. surface rain) from the data, which can be infused in some decision support system. These measurements should ideally be seamlessly accessible. To rapidly bridge the gap between NASA information systems and services and the practical needs of the applications (and research) community, the Goddard Earth Science Data and Information Services Center (GES DISC) has collaborated with the Florida International University High Performance Database Research Center (FIU HPDRC) and the U.S. Department of Agriculture Foreign Agriculture Services (USDA FAS) to demonstrate the feasibility of making NASA data more easily and seamlessly accessible via the Web, from within the FIU's TerraFly and the FAS' Crop Explorer environments, respectively.
View the poster (JPEG image, 1.1 MB)
Online Interactive Data Analysis of Multi-Sensor Data Using Giovanni
Stephen Berrick, G. Leptoukh, Z. Liu, H. Rui, S. Shen, W. Teng, T. Zhu
The goal of the GES-DISC Interactive Online Visualization and Analysis System (Giovanni) is to provide earth science users a means for performing data analysis on data in the Goddard Earth Sciences (GES) Distributed Active Archive Center (DAAC) without having to download the data. Through Giovanni, users are able to apply statistical analysis on many individual gridded global data products across multiple instruments and even inter-compare parameters from more than one instrument. Giovanni currently allows users to select a time window and a region of interest to generate many graphical output types including area plots (time-averaged), time-series (area-averaged), Hovmoller (latitude vs. time, longitude vs. time), and animations for area plots. A number of graphical output types are also available for parameter inter-comparisons. ASCII output is also available for those who want to apply their own analysis software. Using the knowledge gained from Giovanni, a user can minimize the amount of data they need to download while maximizing the amount of relevant content in those data. The design challenges of Giovanni are (1) to successfully balance a simple, intuitive Web interface with the complexity and heterogeneity of our data, (2) to have a simple and flexible configuration so that new data sets and parameters can be added and organized for particular user communities, (3) to be agnostic with respect to the analysis software and graphing software and, (4) scalability. In a short time, the original Giovanni (Giovanni 1) has grown from two instances to eight (Giovanni 2), each tailored for a specific user community. The demand, however, for Giovanni and its capabilities continues to increase and in order to meet those demands, a redesign effort of Giovanni, which we call Giovanni 3, is being undertaken.
View the presentation (PDF, 1.9 MB)