Abstract
The CarbonTracker modeling system was designed in part to evaluate the
predictions of prognostic, or forward, carbon models. In order for
inversions to provide useful constraints to guide the development of
forward models, robust confidence intervals on their inverse flux
estimates will be required. Unfortunately, assessing the uncertainty on
an inverse flux estimate is quite difficult, and new approaches are
needed. To meet this goal, we present here results of an observational
system simulation experiment (OSSE) meant to assess the ability of CO2
measurement networks to detect flux anomalies in North America during
the growing season. We evaluate the power of both the current
observational network and a planned larger network comprising 12 tall
towers and 24 weekly aircraft profiles in North America.
Original language | English |
---|---|
Pages (from-to) | 400 |
Journal | American Geophysical Union, Fall Meeting |
Volume | 33 |
Issue number | abstract #B33A-0400 |
Publication status | Published - 1-Dec-2008 |
Event | American Geophysical Union, Fall Meeting 2008 - San Francisco, California, United States Duration: 15-Dec-2008 → 19-Dec-2008 |
Keywords
- 0414 Biogeochemical cycles
- processes
- and modeling (0412
- 0793
- 1615
- 4805
- 4912)
- 0428 Carbon cycling (4806)
- 3275 Uncertainty quantification (1873)
- 6339 System design