A31D-0098
NASA GES DISC Aerosol analysis and visualization services

Wednesday, 16 December 2015
Poster Hall (Moscone South)
Jennifer C Wei1, Charles M Ichoku2, Maksym Petrenko2, Wenli Yang3, Arif Albayrak1, Peisheng Zhao3, James E Johnson1 and Steve Kempler2, (1)ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)NASA GES DISC/GMU, Greenbelt, MD, United States
Abstract:
Among the known atmospheric constituents, aerosols represent the greatest uncertainty in climate research. 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. Unfortunately, this is not always the case, despite the abundance and relative maturity of numerous satellite-borne sensors routinely measure aerosols. There is often disagreement between similar aerosol parameters retrieved from different sensors, leaving users confused as to which sensors to trust for answering important science questions about the distribution, properties, and impacts of aerosols. Such misunderstanding may be avoided by providing satellite data with accurate pixel-level (Level 2) information, including pixel coverage area delineation and science team recommended quality screening for individual geophysical parameters.

NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) have developed multiple MAPSS applications as a part of Giovanni (Geospatial Interactive Online Visualization and Analysis Interface) data visualization and analysis tool - Giovanni-MAPSS and Giovanni-MAPSS_Explorer since 2007. The MAPSS database provides spatio‐temporal statistics for multiple spatial spaceborne Level 2 aerosol products (MODIS Terra, MODIS Aqua, MISR, POLDER, OMI, CALIOP, SeaWiFS Deep Blue, and VIIRS) sampled over AERONET ground stations. In this presentation, I will demonstrate the improved features from Giovanni-MAPSS and introduce a new visualization service (Giovanni VizMAP) supporting various visualization and data accessing capabilities from satellite Level 2 data (non-aggregated and un-gridded) at high spatial resolution. Functionality will include selecting data sources (e.g., multiple parameters under the same measurement), defining area-of-interest and temporal extents, zooming, panning, overlaying, sliding, and data subsetting and reformatting.

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