Transcript Data Analytics Needs Scenario - Federation of Earth Science

Data Analytics Needs Scenario
Earth Science Data Analytics
Federation of Earth Science Information Partners
April 17, 2014
Joan L. Aron, Ph.D.
Aron Environmental Consulting
Columbia, Maryland
End User of Big Data
Perspective of Risk Analysis
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Risk analysis for environmental issues.
Trends (comparisons) across time and space.
Other end user needs may be different.
Example: Emergency response systems need
the latest data but not historical data.
End User of Big Data
Continuity of Data
• Continuity – Will these data continue?
• Continuity -- Criterion for usability of Big Data.
• Decennial census has constitutional mandate
but mandates are not typical.
• Data re-analysis can provide continuity for
multiple sources that may change over time.
• NASA has MERRA re-analysis of climate data
supporting research on global climate models
that determines spatial and temporal scales.
End User of Big Data
Linkages of Data
• Linkages – Ability to link datasets from different
agencies, sectors and/or disciplines.
• Linkages -- Criterion for usability of Big Data.
• Interagency Council on Climate Preparedness and
Resilience (Co-Chairs: Council on Environmental
Quality; Office of Science & Technology Policy;
Assistant to President for Homeland Security &
Counterterrorism)
• Executive Order 13653 (11/2013) -- Preparing the
United States for the Impacts of Climate Change
End User of Big Data
Linkages: Climate and Air Quality
• Higher temperatures in urban areas and likely
associated increases in ground-level ozone
exacerbate heart and lung diseases (US
Climate Change Science Program).
• Air temperature inversion over Europe in midMarch 2014 trapped particulate matter,
causing air quality crisis in Paris (Haze over
France, NASA Earth Observatory, 3/18/2014).
End User of Big Data
Linkages: Climate and Air Quality
• Air quality data: typically ground-based;
satellite observations of aerosols
• Air quality data: concentrations of pollutants,
alerts, impacts
• EPA Air Data: data from outdoor monitors as
far back as 1980
• http://semanticommunity.info/Data_Science/
Data_Science_for_EPA_Air_Data#Stor
End User of Big Data
Thanks for background information and helpful
discussion from:
 Brand Niemann (Semantic Community)
 John Schnase (NASA)
 Steve Kempler (NASA)