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Wallach, D., Thorburn, P., Asseng, S., Challinor, A. J., Ewert, F., Jones, J. W., et al. (2016). A framework for evaluating uncertainty in crop model predictions.. Berlin (Germany).
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Montesino-San Martin, M., Wallach, D., Olesen, J. E., & Porter, J. R. Quantifying data requirements in crop models; applying the learning curve approach to winter wheat phenology models.
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Grosz, B., Dechow, R., Hoffmann, H., Zhao, G., Constantin, J., Raynal, H., et al. (2015). The implication of input data aggregation on upscaling of soil organic carbon changes. MACSUR Science Conference.
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Hoffmann, H., Gang, Z., Van Bussel, L. G. J., Enders, A., Specka, X., Sosa, C., et al. (2014). Sensitivity of crop models to spatial aggregation of soil and climate data..
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Rötter, R. P., Asseng, S., Ewert, F., Rosenzweig, C., Jones, J. W., Hatfield, J. L., et al. (2013). Quantifying Uncertainties in Modeling Crop Water Use under Climate Change..
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