Coupling Bottom-Up and Top-Down Approaches to Understanding the Carbon Cycle: An Analysis of Data from the NOAA/CMDL WLEF-TV Tall Tower Monitoring Site in Northern Wisconsin

HR: 11:10h
AN: B22A-04 [Abstracts]
TI: Coupling Bottom-Up and Top-Down Approaches to Understanding the Carbon Cycle: An Analysis of Data from the NOAA/CMDL WLEF-TV Tall Tower Monitoring Site in Northern Wisconsin
AU: * Andrews, A E
EM: Arlyn.Andrews@noaa.gov
AF: NOAA Climate Monitoring and Diagnostics Laboratory, NOAA/OAR R/CMDL1 325 Broadway, Boulder, CO 80305 United States
AU: Peters, W
EM: Wouter.Peters@noaa.gov
AF: Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309 United States
AU: Schaefer, K
EM: Kevin.Schaefer@noaa.gov
AF: NOAA Climate Monitoring and Diagnostics Laboratory, NOAA/OAR R/CMDL1 325 Broadway, Boulder, CO 80305 United States
AU: Bruhwiler, L
EM: Lori.Bruhwiler@noaa.gov
AF: NOAA Climate Monitoring and Diagnostics Laboratory, NOAA/OAR R/CMDL1 325 Broadway, Boulder, CO 80305 United States
AU: Bakwin, P
EM: Peter.Bakwin@noaa.gov
AF: NOAA Climate Monitoring and Diagnostics Laboratory, NOAA/OAR R/CMDL1 325 Broadway, Boulder, CO 80305 United States
AU: Zhao, C
EM: Conglong.Zhao@noaa.gov
AF: Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309 United States
AU: Kofler, J
EM: Jonathan.Kofler@noaa.gov
AF: Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309 United States
AU: Tans, P
EM: Pieter.Tans@noaa.gov
AF: NOAA Climate Monitoring and Diagnostics Laboratory, NOAA/OAR R/CMDL1 325 Broadway, Boulder, CO 80305 United States
AU: Lin, J
EM: johnlin@fas.harvard.edu
AF: Harvard University, Department of Earth and Planetary Sciences 20 Oxford St., Cambridge, MA 02138 United States
AU: Gerbig, C
EM: christoph.gerbig@bgc-jena.mpg.de
AF: Max-Planck-Institut f〉 Biogeochemie, Hans-Knoell-Str. 10, Jena, D-07745 Germany
AU: Wofsy, S
EM: swofsy@deas.harvard.edu
AF: Harvard University, Department of Earth and Planetary Sciences 20 Oxford St., Cambridge, MA 02138 United States
AU: Baker, I
EM: baker@atmos.colostate.edu
AF: Colorado State University, Deparment of Atmospheric Science, Fort Collins, CO 80523 United States
AU: Suits, N
EM: nsuits@atmos.colostate.edu
AF: Colorado State University, Deparment of Atmospheric Science, Fort Collins, CO 80523 United States
AU: Uliasz, M
EM: marek@atmos.colostate.edu
AF: Colorado State University, Deparment of Atmospheric Science, Fort Collins, CO 80523 United States
AU: Denning, S
EM: denning@atmos.colostate.edu
AF: Colorado State University, Deparment of Atmospheric Science, Fort Collins, CO 80523 United States
AB: The NOAA/CMDL monitoring site at the WLEF-TV tower in Park Falls, WI frequently samples air that has been advected over the upper Midwest. Here, continuous measurements of CO$_{2}$ at WLEF from the year 2000 are analyzed using an atmospheric transport model, the Stochastic Time-Inverted Lagrangian Transport (STILT) model, and the Simple Biosphere (SiB) model of ecosystem CO$_{2}$ fluxes. Together, these models can produce a time series of modeled CO$_{2}$ mixing ratios at the WLEF tower. Differences between modeled and observed CO$_{2}$ time series indicate model deficiencies. Atmospheric transport errors could result e.g., from inadequate representation of convection or lack of mass-conservation of the meteorological fields used to drive the model. Potential errors in the representation of transport will be assessed using sensitivity studies and by comparing sampling footprints from the STILT model with footprints from two other models: the adjoint version of the Transport Model 5 (TM5), and the Lagrangian Particle Dispersion (LPD) model. Errors in predicted CO$_{2}$ fluxes could arise from factors such as inaccurate specification of vegetation types, insufficiently detailed parameterizations of photosynthesis and respiration, or errors in the meteorological fields used to drive SiB. For this study, we will examine the sensitivity of the predicted fluxes to C3 versus C4 vegetation types. The impact of fossil fuel sources on CO$_{2}$ mixing ratios at WLEF will also be considered.
DE: 3260 Inverse theory
DE: 1610 Atmosphere (0315, 0325)
DE: 1615 Biogeochemical processes (4805)
DE: 0368 Troposphere--constituent transport and chemistry
DE: 0400 Biogeosciences
SC: Biogeosciences [B]
MN: 2004 AGU Fall Meeting