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- 2Interannual variability
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A model - data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis
Download2010
McCaughey, H., Sahoo, A. K., Riley, W., Lokupitiya, E., Price, D. T., Riciutto, D. M., Ciais, P., Dietze, M., Sprintsin, M., Liu, S. G., Chen, J. M., Barr, A., Law, B. E., Schwalm, C. R., Tian, H. Q., Oechel, W. C., Williams, C. A., Davis, K. J., Verma, S. B., Luo, Y. Q., Verbeeck, H., Tonitto, C., Dragoni, D., Peng, C. H., Margolis, H., Gu, L. H., Li, Z. P., Ma, S. Y., Matamala, R., Grant, R., Desai, A., Anderson, R., Hollinger, D., Flanagan, L. B., Fischer, M. L., Poulter, B., Li, L. H., Baker, I., Sun, J. E., Monson, R. K., Schaefer, K., Chen, G. S., Lafleur, P., Kucharik, C., Black, T.A., Izaurralde, R. C., Arain, M. A.
Abstract: Our current understanding of terrestrial carbon processes is represented in various models used to integrate and scale measurements of CO2 exchange from remote sensing and other spatiotemporal data. Yet assessments are rarely conducted to determine how well models simulate carbon...
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A model-data comparison of gross primary productivity: Results from the North American Carbon Program site synthesis
Download2012
Anderson, R., Poulter, B., Matamala, R., Lokipitiya, E., Chen, J.M., Verbeeck, H., Davis, K.J., Weng, E., Curtis, P.S., Tonitto, C., Munger, J.W., Ricciuto, D., Chen, J., Gu, L., Humphreys, E., Desai, A.R., Price, D.T., Raczka, B.M., Zhou, X., Peng, C., Torn, M., Hollinger, D.Y., Riley, W.J., Roulet, N., Black, A., Bolstad, P., Baker, I., Thornton, P., Monson, R., Jain, A., Law, B., Gough, C., Margolis, H.A., Dimitrov, D., Grant, R.F., Liu, S., McCaughey, J.H., Hilton, T.W., Sahoo, A., Dietze, M., Schaefer, K., Williams, C., Dragoni, D., Tian, H., Vargas, R., Schwalm, C.R., Richardson, A.D., Oechel, W., Kucharik, C., Barr, A., Altaf Arain, M.
Accurately simulating gross primary productivity (GPP) in terrestrial ecosystem models is critical because errors in simulated GPP propagate through the model to introduce additional errors in simulated biomass and other fluxes. We evaluated simulated, daily average GPP from 26 models against...
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Characterizing the performance of ecosystem models across time scales: A spectral analysis of the North American Carbon Program site-level synthesis
Download2011
Black, T.A., Izaurralde, R.C., Lokupitiya, E., Munger, J.W., Schaefer, K., Weng, E., Richardson, A.D., Altaf Arain, M., Luo, Y., Ciais, P., Ricciuto, D.M., Stoy, P.C., Dietze, M.C., Poulter, B., Barr, A.G., Liu, S., Hollinger, D., Tian, H., Suyker, A.E., Verbeeck, H., Price, D.T., Grant, R.F., Peng, C., Baker, I.T., Vargas, R., Anderson, R.S., Tonitto, C., Sahoo, A.K., Chen, J.M., Flanagan, L.B., Riley, W.J., Wang, W., Lafleur, P., Gough, C.M., Verma, S.B., Kucharik, C.J.
Ecosystem models are important tools for diagnosing the carbon cycle and projecting its behavior across space and time. Despite the fact that ecosystems respond to drivers at multiple time scales, most assessments of model performance do not discriminate different time scales. Spectral methods,...