@InProceedings{Agarwal_etal2009,
author="Agarwal, D.
and Amiro, B.
and Anderson, R.S.
and Arain, M.A.
and Baker, I.T.
and Baldocchi, D.D.
and Barr, A.G.
and Black, T.A.
and Boden, T.
and Bolstad, P.
and Burns, S.
and Campbell, S.
and Chen, G.
and Chen, J.M.
and Ciais, P.
and Cook, B.
and Cook, D.R.
and Curtis, P.S.
and Davis, K.J.
and Delgrosso, S.
and Dietze, M.C.
and Dimitrov, D.
and Dragoni, D.
and Epstein, H.
and Falk, M.
and Fischer, M.L.
and Flanagan, L.B.
and Goldstein, A.H.
and Goulden, M.L.
and Grant, R.F.
and Gu, L.
and Hanan, N.P.
and Hawthorne, I.
and Hilton, T.W.
and Hoffman, F.M.
and Hollinger, D.Y.
and Hudiburg, T.
and Ishizawa, M.
and Izaurralde, R.C.
and Nichols, J.
and Kelly, R.H.
and King, T.
and Kucharik, C.J.
and Lafleur, P.
and Law, B.E.
and Li, Zhengpeng
and Liu, Shuguang
and Liu, M.
and Lokupitiya, E.Y.
and Luo, Y.
and Margolis, H.A.
and Matamala, R.
and McCaughey, J.H.
and Meyers, T.P.
and Monson, R.K.
and Munger, B.
and Oechel, W.C.
and Oren, R.
and Parton, W.J.
and Pattey, E.
and Peng, C.
and Peylin, P.
and Piao, S.
and Post, W.M.
and Poulter, B.
and Price, D.T.
and Raczka, B.M.
and Ricciuto, D.M.
and Richardson, A.D.
and Riley, W.J.
and Ryan, M.
and Sahoo, A.K.
and Saliendra, N.Z.
and Schaaf, C.B.
and Schaefer, K.M.
and Schuh, A.
and Sprintsin, M.
and Stoy, P.C.
and Thornton, P.
and Tian, H.-Q.
and Tonitto, C.
and Torn, M.S.
and van Ingen, C.
and Vargas, R.
and Verbeeck, H.
and Verma, S.B.
and Viovy, N.
and Wang, W.
and Weng, E.
and Williams, C.A.
and Xu, X.
and Yang, B.
and Yuan, W.
and Zha, T.
and Zhou, X.",
editor="in",
title="Site-level synthesis of modeled and measured carbon water and energy fluxes across North America-evaluation of model and measurement uncertainty [abs.]",
booktitle="NACP All-Investigators Meeting, 2nd",
year="2009",
edition="17-20 February 2009",
publisher="North American Carbon Program",
address="Greenbelt, Md.",
volume="Abstract Book",
pages="16--18",
optkeywords="assessment",
optkeywords="biological diversity",
optkeywords="carbon",
optkeywords="carbon cycle",
optkeywords="carbon flux",
optkeywords="carbon stocks",
optkeywords="climate",
optkeywords="comparison",
optkeywords="component",
optkeywords="conference abstracts",
optkeywords="continental",
optkeywords="covariance",
optkeywords="data",
optkeywords="disturbance",
optkeywords="dynamics",
optkeywords="eddy covariance",
optkeywords="energy flux",
optkeywords="estimation",
optkeywords="evaluation",
optkeywords="feedback",
optkeywords="filtering",
optkeywords="flux",
optkeywords="global",
optkeywords="history",
optkeywords="measurement",
optkeywords="methodology",
optkeywords="model",
optkeywords="modeling",
optkeywords="parameterization",
optkeywords="photosynthesis",
optkeywords="policy",
optkeywords="respiration",
optkeywords="scale",
optkeywords="scaling",
optkeywords="simulation",
optkeywords="spatial",
optkeywords="synthesis",
optkeywords="tool",
optkeywords="uncertainty",
optkeywords="vegetation",
optkeywords="vegetation type",
optkeywords="water",
optkeywords="weather",
optkeywords="weather data",
abstract="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: {\textquoteleft}{\textquoteleft}Are the modeled and observed carbon fluxes and stocks the same, within the bounds of uncertainty -- and if not, why?{\textquoteright}{\textquoteright} 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.",
optnote="exported from refbase (http://eros.usgs.gov/refbase/show.php?record=23328), last updated on Mon, 04 Mar 2013 15:01:26 -0600",
issn="http://www.nacarbon.org/cgi-bin/meeting\textit{2009/mtg2009}ab\_search.pl",
opturl="http://www.nacarbon.org/cgi-bin/meeting_2009/mtg2009_ab_search.pl",
language="FY 2009"
}