TY - CONF AU - Agarwal, D. AU - Amiro, B. AU - Anderson, R.S. AU - Arain, M.A. AU - Baker, I.T. AU - Baldocchi, D.D. AU - Barr, A.G. AU - Black, T.A. AU - Boden, T. AU - Bolstad, P. AU - Burns, S. AU - Campbell, S. AU - Chen, G. AU - Chen, J.M. AU - Ciais, P. AU - Cook, B. AU - Cook, D.R. AU - Curtis, P.S. AU - Davis, K.J. AU - Delgrosso, S. AU - Dietze, M.C. AU - Dimitrov, D. AU - Dragoni, D. AU - Epstein, H. AU - Falk, M. AU - Fischer, M.L. AU - Flanagan, L.B. AU - Goldstein, A.H. AU - Goulden, M.L. AU - Grant, R.F. AU - Gu, L. AU - Hanan, N.P. AU - Hawthorne, I. AU - Hilton, T.W. AU - Hoffman, F.M. AU - Hollinger, D.Y. AU - Hudiburg, T. AU - Ishizawa, M. AU - Izaurralde, R.C. AU - Nichols, J. AU - Kelly, R.H. AU - King, T. AU - Kucharik, C.J. AU - Lafleur, P. AU - Law, B.E. AU - Li, Zhengpeng AU - Liu, Shuguang AU - Liu, M. AU - Lokupitiya, E.Y. AU - Luo, Y. AU - Margolis, H.A. AU - Matamala, R. AU - McCaughey, J.H. AU - Meyers, T.P. AU - Monson, R.K. AU - Munger, B. AU - Oechel, W.C. AU - Oren, R. AU - Parton, W.J. AU - Pattey, E. AU - Peng, C. AU - Peylin, P. AU - Piao, S. AU - Post, W.M. AU - Poulter, B. AU - Price, D.T. AU - Raczka, B.M. AU - Ricciuto, D.M. AU - Richardson, A.D. AU - Riley, W.J. AU - Ryan, M. AU - Sahoo, A.K. AU - Saliendra, N.Z. AU - Schaaf, C.B. AU - Schaefer, K.M. AU - Schuh, A. AU - Sprintsin, M. AU - Stoy, P.C. AU - Thornton, P. AU - Tian, H.-Q. AU - Tonitto, C. AU - Torn, M.S. AU - van Ingen, C. AU - Vargas, R. AU - Verbeeck, H. AU - Verma, S.B. AU - Viovy, N. AU - Wang, W. AU - Weng, E. AU - Williams, C.A. AU - Xu, X. AU - Yang, B. AU - Yuan, W. AU - Zha, T. AU - Zhou, X. A2 - San Diego, Calif. ED - in PY - 2009// TI - Site-level synthesis of modeled and measured carbon water and energy fluxes across North America-evaluation of model and measurement uncertainty [abs.] BT - NACP All-Investigators Meeting, 2nd SP - 16 EP - 18 VL - Abstract Book PB - North American Carbon Program CY - Greenbelt, Md. KW - assessment KW - biological diversity KW - carbon KW - carbon cycle KW - carbon flux KW - carbon stocks KW - climate KW - comparison KW - component KW - conference abstracts KW - continental KW - covariance KW - data KW - disturbance KW - dynamics KW - eddy covariance KW - energy flux KW - estimation KW - evaluation KW - feedback KW - filtering KW - flux KW - global KW - history KW - measurement KW - methodology KW - model KW - modeling KW - parameterization KW - photosynthesis KW - policy KW - respiration KW - scale KW - scaling KW - simulation KW - spatial KW - synthesis KW - tool KW - uncertainty KW - vegetation KW - vegetation type KW - water KW - weather KW - weather data N2 - Long-term interactions and feedbacks between the terrestrial carbon cycle and the global climate system depend on the integrated dynamics of carbon stocks and fluxes at continental scales. The tremendous geographic and biological diversity of the North American continent results in a very challenging spatial scaling problem as we try to understand the integrated continental carbon cycle and carbon-climate dynamics. Large-scale modeling is an essential tool in generating integrated analyses of these dynamics, but there is an increasing call from the assessment and climate policy communities for a quantification of uncertainty associated with large-scale estimates of carbon and carbon-climate interactions. We are addressing that need by performing a detailed evaluation of modeled and observed carbon stocks and fluxes across a wide range of North American vegetation types and climate zones, focusing explicitly on the problem of uncertainty estimation in both observations and model results. Our synthesis team includes researchers representing 36 individual sites where eddy covariance and other meteorological measurements have been made for multiple years, supplemented with detailed biological measurements necessary for model parameterization and evaluation. The modeling team includes researchers representing 15 models of varying intents and complexity. Care has been taken to develop consistent datasets and a well-defined simulation protocol, to control as much as possible the external contributions to uncertainty. Here we present within-model and between-model uncertainty estimates, in comparison to the associated observational uncertainties. The analysis is designed to answer the question: "Are the modeled and observed carbon fluxes and stocks the same, within the bounds of uncertainty -- and if not, why?" We identify and quantify the main contributions to modeled and measurement uncertainty. These include, for the models, input surface weather data and representation of disturbance history, and, for the measurements, assumptions related to partitioning of net carbon flux into photosynthesis and respiration components, and data filtering and gap-filling methodologies. SN - http://www.nacarbon.org/cgi-bin/meeting_2009/mtg2009_ab_search.pl UR - http://www.nacarbon.org/cgi-bin/meeting_2009/mtg2009_ab_search.pl N1 - exported from refbase (http://eros.usgs.gov/refbase/show.php?record=23328), last updated on Mon, 04 Mar 2013 15:01:26 -0600 ID - Agarwal_etal2009 ER -