HR: 10:20h
AN: B42C-01 INVITED    [Abstracts]
TI: Bridging across Spatial and Temporal Scales in North American Carbon Dioxide Flux Estimation through Geostatistical Analysis of Scale-Dependent Relationships Between Carbon Flux and Auxiliary Environmental Data
AU: * Michalak, A M
EM: amichala@umich.edu
AF: Department of Civil and Environmental Engineering, The University of Michigan, Ann Arbor, MI 48109-2125, United States
AU: * Michalak, A M
EM: amichala@umich.edu
AF: Department of Atmospheric, Oceanic, and Space Sciences, The University of Michigan, Ann Arbor, MI 48109-2125, United States
AU: Mueller, K
EM: kimlm@umich.edu
AF: Department of Civil and Environmental Engineering, The University of Michigan, Ann Arbor, MI 48109-2125, United States
AU: Gourdji, S
EM: sgourdji@umich.edu
AF: Department of Civil and Environmental Engineering, The University of Michigan, Ann Arbor, MI 48109-2125, United States
AU: Hirsch, A I
EM: Adam.Hirsch@noaa.gov
AF: Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, CO 80309, United States
AU: Hirsch, A I
EM: Adam.Hirsch@noaa.gov
AF: NOAA Gobal Monitoring Division, 325 Broadway Ave., Boulder, CO 80305, United States
AU: Andrews, A E
EM: Arlyn.Andrews@noaa.gov
AF: NOAA Gobal Monitoring Division, 325 Broadway Ave., Boulder, CO 80305, United States
AU: Lin, J C
EM: jcl@uwaterloo.ca
AF: Department of Earth Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada
AU: Nehrkorn, T
EM: tnehrkor@aer.com
AF: Atmospheric and Environmental Research, Inc., 131 Hartwell Ave., Lexington, MA 02421- 3136, United States
AB: The first overriding question of the NACP Implementation Plan deals with diagnosis of North American carbon fluxes. One of the critical aspects for addressing this question focuses on "scaling issues inherent in applying data sets over areas that were not measured," including "scaling, in time and space, of the intensive flux measurements to the larger landscape" [Denning et al. 2005]. This need highlights the importance of understanding the scale-dependence of parameters controlling carbon flux variability, and developing methods for using data collected at multiple scales to infer carbon fluxes. Geostatistical kriging and inverse modeling tools offer a unique opportunity to identify, characterize, and quantify relationships between observed or inferred fluxes and a suite of auxiliary environmental variables. This presentation will describe recent work aimed at improving understanding of variables and processes controlling CO2 flux variability at various spatial and temporal scales, by using remote-sensing, in situ, and atmospheric data. The applied method is based on a geostatistical dual kriging analysis of flux variability applicable at AmeriFlux sites, and a geostatistical inverse modeling approach to flux estimation for the North American continent. This approach does not prescribe the effect of auxiliary data on flux variability, and does not involve an explicit biospheric model. Instead, these relationships are estimated based on the information content of available data. Overall, the approach can be used to identify parameters that explain observed or inferred flux variability at various spatial and temporal scales, by analyzing data collected at different scales within a single, consistent, and statistically rigorous framework.
UR: http://www.umich.edu/~amichala/
DE: 0414 Biogeochemical cycles, processes, and modeling (0412, 0793, 1615, 4805, 4912)
DE: 0426 Biosphere/atmosphere interactions (0315)
DE: 0428 Carbon cycling (4806)
DE: 0430 Computational methods and data processing
DE: 0480 Remote sensing
SC: Biogeosciences [B]
MN: 2007 Fall Meeting