Exploiting Aura OMI Level 2 Data with High Resolution Visualization

Wednesday, 17 December 2014
Jennifer C Wei1, Wenli Yang2, James E Johnson1, Peisheng Zhao2, Irina V Gerasimov1, Long Pham3, Gilberto A Vicente4 and Suhung Shen5, (1)ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States, (2)NASA GES DISC/GMU, Greenbelt, MD, United States, (3)NASA - GSFC, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)George Mason University Fairfax, Fairfax, VA, United States
Satellite data products are important for a wide variety of applications that can bring far-reaching benefits to the science community and the broader society. These benefits can best be achieved if the satellite data are well utilized and interpreted, such as model inputs from satellite, or extreme event (such as volcano eruption, dust storm, …etc) interpretation from satellite. Unfortunately, this is not always the case, despite the abundance and relative maturity of numerous satellite data products provided by NASA and other organizations. One way to help users better understand the satellite data is to provide data along with ‘Images’, including accurate pixel-level (Level 2) information, pixel coverage area delineation, and science team recommended quality screening for individual geophysical parameters.

Goddard Earth Sciences Data and Information Services Center (GES DISC) always strives to best support (i.e., Software-as-a-service, SaaS) the user-community for NASA Earth Science Data. In this case, we will present a new visualization tool that helps users exploiting Aura Ozone Monitoring Instrument (OMI) Level 2 data. This new visualization service utilizes Open Geospatial Consortium (OGC) standard-compliant Web Mapping Service (WMS) and Web Coverage Service (WCS) calls in the backend infrastructure. The functionality of the service allows users to select data sources (e.g., multiple parameters under the same measurement, like NO2 and SO2 from OMI Level 2 or same parameter with different methods of aggregation, like NO2 in OMNO2G and OMNO2D products), defining area-of-interest and temporal extents, zooming, panning, overlaying, sliding, and data subsetting and reformatting. The interface will also be able to connect to other OGC WMS and WCS servers, which will greatly enhance its expandability to integrate additional outside data/map sources (such as Global Imagery Browse Services (GIBS)).