AQ 2007 10 31 Discussion
From Earth Science Information Partners (ESIP)
back to 2007-10-31 Workshop page
Data/tool Decision Tree
- wonder if we could set up table comparing products
- might do by datasource, visualization tool, processing tool, etc.
Usage considerations
Legal
- EPA always has to defend its judgments in court
- Court needs "preponderance of evidence" or "beyond a reasonable doubt"
- This is quite different from 0.95% certainty.
Science
- Needs detailed information about sources and models used in "correcting" data
Education
- Special considerations for "real-time" data
- Special considerations for hiding and introducing complexity
Data lineage tracking
- Do we need to coordinate conventions for tracking provenance, even in readme files,?
- How do we track sources and magnitude of variance within and across datasets throughout the processing chain?
- Take as an example the case x and y variance are not the same.
- Which processing tools compound error? How do we account for it?
- Can we list spurious sources of variance that must be taken into consideration as we visualize or composite datasets?
- Cloud cover
- Registration issues
- Instrument issues
- resolution
- interference (NOx)
Data quality considerations
- What is the best way to determine "best available evidence"?
- How do we know if a remote sensing product has been verified with ground data and in situations comparable to use?
- How and why might we tag a dataset "bad data"?
Use Case
How much NO2 is man made?
- How would we provide data to justify the statement, "Man-made emissions of nitrogen oxides dominate total emissions"?
