Statistics – Applications
Scientific paper
Dec 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agufmgc33b0772k&link_type=abstract
American Geophysical Union, Fall Meeting 2008, abstract #GC33B-0772
Statistics
Applications
1616 Climate Variability (1635, 3305, 3309, 4215, 4513), 1630 Impacts Of Global Change (1225), 1637 Regional Climate Change, 6309 Decision Making Under Uncertainty, 6334 Regional Planning (1880)
Scientific paper
In recognizing the significance of NASA remote sensing Earth science data in monitoring and better understanding our planet's natural environment, NASA has implemented the 'Decision Support Through Earth Science Research Results' program to solicit "proposals that develop and demonstrate innovative and practicable applications of NASA Earth science observations and research"that focus on improving decision making activities", as stated in the NASA ROSES-2008, A.18 solicitation. This very successful program has yielded several monitoring, surveillance, and decision support systems through collaborations with benefiting organizations in the areas of agriculture, air quality, disaster management, ecosystems, public health, water resources, and aviation weather. The Goddard Space Flight Center (GSFC) Earth Sciences Data and Information Services Center (GES DISC) has participated in this program on two projects (one complete, one ongoing), and has had opportune ad hoc collaborations gaining much experience in the formulation, management, development, and implementation of decision support systems utilizing NASA Earth science data. Coupling this experience with the GES DISC's total understanding and vast experience regarding Earth science missions and resulting data and information, including data structures, data usability and interpretation, data interoperability, and information management systems, the GES DISC is in the unique position to more readily identify challenges that come with bringing science data to decision makers. These challenges consist of those that can be met within typical science data usage frameworks, as well as those challenges that arise when utilizing science data for previously unplanned applications, such as decision support systems. The purpose of this presentation is to share GES DISC decision support system project experiences in regards to system sustainability, required data quality (versus timeliness), data provider understanding how decisions are made, which leads to the data receivers willingness to use new types of information to make decisions, as well as other topics. In addition, defining metrics that 'really' evaluate success will be exemplified.
Friedl L.
Kempler S.
Lynnes C.
Teng W.
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