| Atmospheric CO2: Forward Simulation, Atmospheric Monitoring, And Inverse Simulation To Infer Fluxes | ||
| J. Elliott Campbell, Center for Global and Regional Environmental Research, University of Iowa, Iowa Advanced Technology Laboratories, Iowa City, IA 52242, Jerry Schnoor, Department of Civil Engineering, University of Iowa, 2130 Engineering Bldg, Iowa City, IA 52242, Gregory R. Carmichael, Chemical and Biochemical Engineering, University of Iowa, CGRER, 424 IATL, University of Iowa, Iowa City, IA 52242 and Charles O. Stanier, http://www.cbe.engineering.uiowa.edu/faculty/stanier/, University of Iowa, Iowa City, IA 52242
Atmospheric measurements of CO2 concentration have a key role in climate science, climate change detection, and climate policy. It is likely that greenhouse gas (GHG) concentration and flux measurements will grow in importance as GHG management policies are implemented at state, national and international levels. Furthermore, it is likely that many of the GHG control and sequestration technologies will be developed and implemented by chemical engineers. Top-down
verification of CO2 emission estimates is an important
activity. In locations with inaccurate
inventories, top-down flux estimates are the most reliable source of
emissions
data. Even in Efforts to narrow the
gap between
top-down and bottom-up inventories are advancing under the guidance of
the
interagency North American Carbon Plan.
One key activity is the establishment by the National Oceanic
and
Atmospheric Administration (NOAA) of a high accuracy CO2
monitoring
program. The expanded “tall tower”
monitoring program is being tested in the Researchers at the Center for Global
and Environmental
Research at the University of Iowa have recently developed and
implemented
forward (using the University of Iowa STEM model) and inverse models
for CO2,
CO, and carbonyl sulfide, and tested them on the aircraft sampling data
from the
International Consortium for Atmospheric Research on Transport and
Transformation (ICARTT) field campaign over the Eastern U.S. during
summer
2004. The inverse methodologies include
4dvar using the STEM adjoint.
We will present an overview of our
carbon measurement and
modeling activities at the Extended Abstract Status: Not Uploaded | ||