Characterizing the performance of ecosystem models across time scales: A spectral analysis of the North American Carbon Program site-level synthesis
Dietze, Michael C.; Vargas, Rodrigo; Richardson, Andrew D.; Stoy, Paul C.; Barr, Alan G.; Anderson, Ryan S.; Arain, M. Altaf; Baker, Ian T.; Black, T. Andrew; Chen, Jing M.; Ciais, Philippe; Flanagan, Lawrence B.; Gough, Christopher M.; Grant, Robert F.; Hollinger, David; Izaurralde, R. Cesar; Kucharik, Christopher J.; Lafleur, Peter; Liu, Shugang; Lokupitiya, E.Y.K.; Luo, Yiqi; Munger, J. William; Peng, Changhui; Poulter, Benjamin; Price, David T.; Ricciuto, Daniel M.; Riley, William J.; Sahoo, Alok Kumar; Schaefer, Kevin; Suyker, Andrew E.; Tian, Hanqin; Tonitto, Christina; Verbeeck, Hans; Verma, Shashi B.; Wang, Weifeng; Weng, Ensheng
Date:
2011
Abstract:
diagnosing and forecasting carbon cycle dynamics across
space and time. These models also play a critical role in
understanding the potential responses of ecosystems to
global change [VEMAP Members, 1995]. There are a large
number of ecosystem models currently in use, but each
makes different assumptions and was developed using different
study sites and data sets. Observational and experimental
data sets that provide detailed information about
carbon cycle dynamics are increasingly available for almost
every biome [Baldocchi, 2008] and represent an important
source of data to test for ecosystem models. Despite numerous
efforts to test multiple models at single sites [e.g.,
Hanson et al., 2004] or single models at multiple sites [e.g.,
Krinner et al., 2005; Poulter et al., 2009], there has not been
a major synthesis effort to evaluate the performance of the
community of ecosystem models at multiple sites using a
standardized protocol.
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