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| Titel |
How ground-based observations can support satellite greenhouse gas retrievals |
| VerfasserIn |
J. H. Butler, P. P. Tans, C. Sweeney, E. J. Dlugokencky |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250070823
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| Zusammenfassung |
| Global society will eventually accelerate efforts to reduce greenhouse gas emissions in a
variety of ways. These would likely involve international treaties, national policies, and
regional strategies that will affect a number of economic, social, and environmental
sectors. Some strategies will work better than others and some will not work at all.
Because trillions of dollars will be involved in pursuing greenhouse gas emission
reductions – through realignment of energy production, improvement of efficiencies,
institution of taxes, implementation of carbon trading markets, and use of offsets – it is
imperative that society be given all the tools at its disposal to ensure the ultimate
success of these efforts. Providing independent, globally coherent information on the
success of these efforts will give considerable strength to treaties, policies, and
strategies.
Doing this will require greenhouse gas observations greatly expanded from what we have
today. Satellite measurements may ultimately be indispensable in achieving global coverage,
but the requirements for accuracy and continuity of measurements over time are demanding if
the data are to be relevant. Issues such as those associated with sensor drift, aging
electronics, and retrieval artifacts present challenges that can be addressed in part by close
coordination with ground-based and in situ systems. This presentation identifies
the information that ground-based systems provide very well, but it also looks at
what would be deficient even in a greatly expanded surface system, where satellites
can fill these gaps, and how on-going, ground and in situ measurements can aid in
addressing issues associated with accuracy, long-term continuity, and retrieval artifacts. |
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