Deriving emissions time series from sparse atmospheric mole fractions
A growth-based Bayesian inverse method is presented for deriving emissions of atmospheric trace species from temporally sparse measurements of their mole fractions. This work is motivated by many recent studies that have deduced emissions using archived air samples with measurement intervals of the...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union,
2014-04-15T20:50:14Z.
|
| Subjects: | |
| Online Access: | Get fulltext |